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Is this e-reader case a gun?Is an e-reader case as dangerous as a Glock 19?Last month, Louisville, Kentucky-based creator Luke The Maker showed off a bizarre, 3D-printed, pistol-shaped case design for the popular minimalist Xteink X4 e-reader. The X4 lies vertically atop the plastic gun’s slide, with a cutout on the side to access its buttons. Though the frame was digitally modeled after a real gun, this “case” can’t shoot bullets. Squeezing the trigger does nothing at all. He calls his contraption the “Gundle.”In a post showing off the wacky accessory, Luke (whose last name is Blackford) can be seen flipping through Cormac McCarthy’s Blood Meridian and J.D. Salinger’s The Catcher in the Rye before tossing the gun e-reader case in his car’s center console.“The perfect e-reader for public reading,” text reads over the clip.But even though this internet experiment is clearly intended as a joke or commentary, it’s possible future 3D printers won’t see it that way. Lawmakers in multiple states are pushing for laws mandating gun-blocking software on all new printers sold. This still-evolving technology would, in theory, scan every file before it’s physically printed and try to algorithmically determine whether it’s a firearm or firearm part. If the software decides that the thing being printed looks enough like a gun, it stops the printer from completing the job. That is, if it even works. Lawmakers in New York and California are leaving it up to a panel of industry experts to weigh whether the proposed vision is even technically feasible. Despite that cloud of uncertainty, legislation mandating this blocking tech has already become law in New York and passed California’s state assembly.“I didn’t want it to be so publicly available. I just didn’t want tons of them out there.” That may sound reasonable enough, but makers and industry experts previously told The Verge that the tech is underdeveloped and risks introducing false positives where non-guns that look gun-like get unnecessarily blocked. Blackford’s e-reader case falls directly in that detection gray area. Blackford says he didn’t explicitly make the Gundle to challenge the proposed laws, but he also didn’t shy away from expressing his opinion about them.“I’m not for that kind of thing because I’m big into open software,” Blackford says. “It’s just a wild frontier right now, so I definitely don’t trust [gun blueprint scanning tech] now.”“If people want to 3D print a gun, they’re going to do it,” he adds. “I don’t think it’s up to the people making the slicers to control that kind of thing.”Those pushing for these mandates, meanwhile, wouldn’t say whether their proposed tech would stop Blackford from making a harmless case. New York Gov. Kathy Hochul’s office didn’t respond to questions about Blackford’s device specifically, or the implications false positives could have for a maker’s ability to freely express themself.“Governor Hochul is laser-focused on improving public safety and reducing gun violence in New York,” deputy communications director at the Office of Governor Kathy Hochul and spokesperson Jess D’Amelia tells The Verge. “This law relies on the expertise of leading subject matter experts to evaluate and harness emerging technologies while addressing the real and growing threat of ghost guns and illegally manufactured weapons of war. The Governor is confident these measures will make all New York communities safer.”“The intent of the law is not to block prints like this, but I think this print is a really good example of why that’s hard.”Cliff Braun, associate director of technology policy and research at the Electronic Frontier Foundation, who has spoken critically of California’s proposal, says it’s unclear whether the proposed system would flag Blackford’s design. While the technology exists, Braun says it’s currently in a “limited form.” Critics say a more cautious detection system that relies on hashes to flag known firearms and parts from a database could be trivially easy to sidestep by simply making small changes to a file’s design. A more expansive approach using AI to analyze a file’s geometry and predict if it’s a gun, by contrast, may be more prone to mistakes. Things that look gun-ish but aren’t, in other words, might get swept up. Lawmakers in both states are leaving it to expert panels to iron out the details of implementation, but the final result, Braun says, will have to grapple with an unavoidable tradeoff between false positives and false negatives.“The intent of the law is not to block prints like this, but I think this print is a really good example of why that’s hard,” Braun says.Handguns like the one Blackford modeled his design on are particularly problematic. In 2022, the ATF updated its rules clarifying that the only parts of a firearm that legally require a serial number are those that provide the housing or structure for the weapon’s “primary fire control component.” In AR-15s and other long guns, that’s the receiver. Braun notes that the shapes of receivers are relatively unique and distinguishable, as are machine gun conversion devices. That’s not quite the same with a handgun. There, the part that requires a serial number is the frame. And unlike receivers, frames are visually far more ambiguous. Water hoses, toy guns, and power tools all share somewhat similar shapes.Dartmouth College associate professor of engineering Solomon Diamond tells The Verge that whether Blackford’s e-reader case gets blocked really depends on the type of technology that particular printer deploys. A more conservative hashing approach would fall flat because Blackford’s device wouldn’t match one of the exact hashes on a database of prohibited files. A different system using computer vision and AI to evaluate where an object likely resembles a gun, however, could flag it by mistake.“Basing blocking tech on visual resemblance is where the false positive concerns arise because a prop and a real functional firearm resemble one another,” Diamond told The Verge. “The technical challenge here is that depending on training data and algorithms used, setting decision thresholds that have acceptably low false positive rates might have unacceptably high false negative rates and vice versa.”“Visual resemblance might be fooled by [the] gun-shaped e-reader case,” he added.Diamond noted a third option, “geometric identification,” could potentially thread the needle. This approach, which is currently being deployed to guide quality control in manufacturing, can be fine-tuned for what Diamond refers to as “exact geometric match,” where a zero false-positive rate is at least theoretically possible. This approach is still relatively new when it comes to 3D print blocking tech.“Geometric Identification would not be fooled by your gun-shaped e-reader case,” he said.3D printer manufacturers and the experts setting the standards for how blocking software mandates will work are then left with a complex choice. Requiring systems that are both actually effective at detecting guns and technically feasible to introduce in the near future will necessarily mean some non-guns get caught in the crossfire. Pretty quickly, that starts limiting how makers, hobbyists, and artists can express themselves.“If you’re going to try and block all of those wonderfully creative humans, you’re going to make it very hard to print props or make social commentary,” Braun said.Blackford says making the Gundle was relatively straightforward. He first went online and did a simple search for “free gun model,” which turned up the blueprints for the gun shell part of the case. He then uploaded that to Fusion 360, his preferred modeling program, and added the e-reader on top and built the case around it. The Xteink X4 is one of the cheaper e-readers on the market, and though it has limited functionality, its devoted community regularly works to improve it. With the digital design finalized, Blackford sent it off to his Bambu Lab H2D printer. The entire process, from initial idea to printed product, took less than 24 hours.Even though the device doesn’t shoot, Blackford says he still hasn’t taken it out in public. He’s since published the files on his website, where anyone with a 3D printer can download them and make their own. Blackford admits he did this with some hesitation. The case isn’t a gun, but it looks enough like one that someone brandishing it in the open, or revealing it during a confrontation with law enforcement, could find themselves in a seriously dangerous misunderstanding. He talked things over with his wife before publishing, and ultimately decided to avoid larger marketplaces like Thingiverse or Printables so it wouldn’t spread too widely. This way, he says, people can still find it if they are interested but won’t randomly stumble upon it.“I didn’t want it to be so publicly available,” Blackford says. “I just didn’t want tons of them out there.”“If you’re going to try and block all of those wonderfully creative humans, you’re going to make it very hard to print props or make social commentary.”There’s also some question as to whether walking around with the case would violate already existing federal laws requiring toys or other “look-alike firearms” to have distinctive markings. These so-called “orange tip laws” are why fake guns and airsoft guns have blaze-orange plastic tips attached to their muzzles when they are manufactured and sold. But the e-reader case isn’t really a toy or a fake gun, but an art project.Regardless, Blackford says if he ever did take it out in public, he’d print a version in a different color to make clear it isn’t imitating a real weapon. That’s not an overreaction. Walking around in public with something that resembles a gun, even if it is functionally useless, can make interactions with police and other gun owners dangerous, or even deadly. In 2014, Cleveland police shot and killed a 12-year-old boy named Tamir Rice after he reached for a toy gun. A 2016 Washington Post report estimated that over the span of two years, police shot and killed 86 people who were holding realistic-looking toy weapons and pellet and airsoft guns.Supporters of blueprint scanning mandates say it’s necessary to close an enforcement gap that’s giving those with felony convictions and others access to guns when they shouldn’t have them. Various laws prohibiting the manufacture and sale of 3D-printed ghost guns (untraceable firearms without serial numbers) already exist across the country. But people print in the privacy of their own homes, making enforcing those laws nearly impossible. Hochul has called this dynamic the “plastic pipeline” and warns of criminals printing guns on their kitchen tables. Mandating scanning software would shift the responsibility onto printer manufacturers, stopping the illegal guns before they are ever made.Whether the threat posed by 3D-printed guns actually justifies such a transformative change to how printers work remains up for debate. The guns are certainly getting better in terms of performance. There are also more of them. In 2024, the NYPD said it recovered 109 mostly 3D-printed guns from crime scenes. That’s up from just one recorded three years prior. A separate 2024 report from the gun control advocacy group Everytown found similar results in 20 other cities.All of that is a drop in the bucket compared to conventional guns collected at crime scenes. In 2025 alone, then-Mayor Eric Adams claimed the NYPD seized more than 5,200 illegal guns. The total number of firearms in the country more broadly has been estimated to outnumber people.But Blackford says he wasn’t convinced 3D-printed guns pose an especially immediate danger. In his view, they are still primarily made by tinkerers and gun enthusiasts with a passion for the process and plenty of time on their hands. In most cases, he’s convinced, getting a real gun is still much easier than printing one.3D printing, Blackford says, “is too much of a pain in the ass.”And if legislation like New York’s or California’s ever reaches Kentucky, Blackford says he’s ready to get creative, either by using VPNs or figuring out some other workaround. He’s likely not alone.“Some companies are going to be putting those locks in place, but I think open-source software is always going to prevail,” Blackford says.Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.Mack DeGeurinCloseMack DeGeurinPosts from this author will be added to your daily email digest and your homepage feed.FollowFollowSee All by Mack DeGeurinTechCloseTechPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All Tech#ereader #case #gunTech

Is this e-reader case a gun?

Is an e-reader case as dangerous as a Glock 19?

Last month, Louisville, Kentucky-based creator Luke The Maker showed off a bizarre, 3D-printed, pistol-shaped case design for the popular minimalist Xteink X4 e-reader. The X4 lies vertically atop the plastic gun’s slide, with a cutout on the side to access its buttons. Though the frame was digitally modeled after a real gun, this “case” can’t shoot bullets. Squeezing the trigger does nothing at all. He calls his contraption the “Gundle.”

In a post showing off the wacky accessory, Luke (whose last name is Blackford) can be seen flipping through Cormac McCarthy’s Blood Meridian and J.D. Salinger’s The Catcher in the Rye before tossing the gun e-reader case in his car’s center console.

“The perfect e-reader for public reading,” text reads over the clip.

But even though this internet experiment is clearly intended as a joke or commentary, it’s possible future 3D printers won’t see it that way. Lawmakers in multiple states are pushing for laws mandating gun-blocking software on all new printers sold. This still-evolving technology would, in theory, scan every file before it’s physically printed and try to algorithmically determine whether it’s a firearm or firearm part. If the software decides that the thing being printed looks enough like a gun, it stops the printer from completing the job. That is, if it even works. Lawmakers in New York and California are leaving it up to a panel of industry experts to weigh whether the proposed vision is even technically feasible. Despite that cloud of uncertainty, legislation mandating this blocking tech has already become law in New York and passed California’s state assembly.

“I didn’t want it to be so publicly available. I just didn’t want tons of them out there.”

That may sound reasonable enough, but makers and industry experts previously told The Verge that the tech is underdeveloped and risks introducing false positives where non-guns that look gun-like get unnecessarily blocked. Blackford’s e-reader case falls directly in that detection gray area. Blackford says he didn’t explicitly make the Gundle to challenge the proposed laws, but he also didn’t shy away from expressing his opinion about them.

“I’m not for that kind of thing because I’m big into open software,” Blackford says. “It’s just a wild frontier right now, so I definitely don’t trust [gun blueprint scanning tech] now.”

“If people want to 3D print a gun, they’re going to do it,” he adds. “I don’t think it’s up to the people making the slicers to control that kind of thing.”

Those pushing for these mandates, meanwhile, wouldn’t say whether their proposed tech would stop Blackford from making a harmless case. New York Gov. Kathy Hochul’s office didn’t respond to questions about Blackford’s device specifically, or the implications false positives could have for a maker’s ability to freely express themself.

“Governor Hochul is laser-focused on improving public safety and reducing gun violence in New York,” deputy communications director at the Office of Governor Kathy Hochul and spokesperson Jess D’Amelia tells The Verge. “This law relies on the expertise of leading subject matter experts to evaluate and harness emerging technologies while addressing the real and growing threat of ghost guns and illegally manufactured weapons of war. The Governor is confident these measures will make all New York communities safer.”

“The intent of the law is not to block prints like this, but I think this print is a really good example of why that’s hard.”

Cliff Braun, associate director of technology policy and research at the Electronic Frontier Foundation, who has spoken critically of California’s proposal, says it’s unclear whether the proposed system would flag Blackford’s design. While the technology exists, Braun says it’s currently in a “limited form.” Critics say a more cautious detection system that relies on hashes to flag known firearms and parts from a database could be trivially easy to sidestep by simply making small changes to a file’s design. A more expansive approach using AI to analyze a file’s geometry and predict if it’s a gun, by contrast, may be more prone to mistakes. Things that look gun-ish but aren’t, in other words, might get swept up. Lawmakers in both states are leaving it to expert panels to iron out the details of implementation, but the final result, Braun says, will have to grapple with an unavoidable tradeoff between false positives and false negatives.

“The intent of the law is not to block prints like this, but I think this print is a really good example of why that’s hard,” Braun says.

Handguns like the one Blackford modeled his design on are particularly problematic. In 2022, the ATF updated its rules clarifying that the only parts of a firearm that legally require a serial number are those that provide the housing or structure for the weapon’s “primary fire control component.” In AR-15s and other long guns, that’s the receiver. Braun notes that the shapes of receivers are relatively unique and distinguishable, as are machine gun conversion devices. That’s not quite the same with a handgun. There, the part that requires a serial number is the frame. And unlike receivers, frames are visually far more ambiguous. Water hoses, toy guns, and power tools all share somewhat similar shapes.

Dartmouth College associate professor of engineering Solomon Diamond tells The Verge that whether Blackford’s e-reader case gets blocked really depends on the type of technology that particular printer deploys. A more conservative hashing approach would fall flat because Blackford’s device wouldn’t match one of the exact hashes on a database of prohibited files. A different system using computer vision and AI to evaluate where an object likely resembles a gun, however, could flag it by mistake.

“Basing blocking tech on visual resemblance is where the false positive concerns arise because a prop and a real functional firearm resemble one another,” Diamond told The Verge. “The technical challenge here is that depending on training data and algorithms used, setting decision thresholds that have acceptably low false positive rates might have unacceptably high false negative rates and vice versa.”

“Visual resemblance might be fooled by [the] gun-shaped e-reader case,” he added.

Diamond noted a third option, “geometric identification,” could potentially thread the needle. This approach, which is currently being deployed to guide quality control in manufacturing, can be fine-tuned for what Diamond refers to as “exact geometric match,” where a zero false-positive rate is at least theoretically possible. This approach is still relatively new when it comes to 3D print blocking tech.

“Geometric Identification would not be fooled by your gun-shaped e-reader case,” he said.

3D printer manufacturers and the experts setting the standards for how blocking software mandates will work are then left with a complex choice. Requiring systems that are both actually effective at detecting guns and technically feasible to introduce in the near future will necessarily mean some non-guns get caught in the crossfire. Pretty quickly, that starts limiting how makers, hobbyists, and artists can express themselves.

“If you’re going to try and block all of those wonderfully creative humans, you’re going to make it very hard to print props or make social commentary,” Braun said.

Blackford says making the Gundle was relatively straightforward. He first went online and did a simple search for “free gun model,” which turned up the blueprints for the gun shell part of the case. He then uploaded that to Fusion 360, his preferred modeling program, and added the e-reader on top and built the case around it. The Xteink X4 is one of the cheaper e-readers on the market, and though it has limited functionality, its devoted community regularly works to improve it. With the digital design finalized, Blackford sent it off to his Bambu Lab H2D printer. The entire process, from initial idea to printed product, took less than 24 hours.

Even though the device doesn’t shoot, Blackford says he still hasn’t taken it out in public. He’s since published the files on his website, where anyone with a 3D printer can download them and make their own. Blackford admits he did this with some hesitation. The case isn’t a gun, but it looks enough like one that someone brandishing it in the open, or revealing it during a confrontation with law enforcement, could find themselves in a seriously dangerous misunderstanding. He talked things over with his wife before publishing, and ultimately decided to avoid larger marketplaces like Thingiverse or Printables so it wouldn’t spread too widely. This way, he says, people can still find it if they are interested but won’t randomly stumble upon it.

“I didn’t want it to be so publicly available,” Blackford says. “I just didn’t want tons of them out there.”

“If you’re going to try and block all of those wonderfully creative humans, you’re going to make it very hard to print props or make social commentary.”

There’s also some question as to whether walking around with the case would violate already existing federal laws requiring toys or other “look-alike firearms” to have distinctive markings. These so-called “orange tip laws” are why fake guns and airsoft guns have blaze-orange plastic tips attached to their muzzles when they are manufactured and sold. But the e-reader case isn’t really a toy or a fake gun, but an art project.

Regardless, Blackford says if he ever did take it out in public, he’d print a version in a different color to make clear it isn’t imitating a real weapon. That’s not an overreaction. Walking around in public with something that resembles a gun, even if it is functionally useless, can make interactions with police and other gun owners dangerous, or even deadly. In 2014, Cleveland police shot and killed a 12-year-old boy named Tamir Rice after he reached for a toy gun. A 2016 Washington Post report estimated that over the span of two years, police shot and killed 86 people who were holding realistic-looking toy weapons and pellet and airsoft guns.

Supporters of blueprint scanning mandates say it’s necessary to close an enforcement gap that’s giving those with felony convictions and others access to guns when they shouldn’t have them. Various laws prohibiting the manufacture and sale of 3D-printed ghost guns (untraceable firearms without serial numbers) already exist across the country. But people print in the privacy of their own homes, making enforcing those laws nearly impossible. Hochul has called this dynamic the “plastic pipeline” and warns of criminals printing guns on their kitchen tables. Mandating scanning software would shift the responsibility onto printer manufacturers, stopping the illegal guns before they are ever made.

Whether the threat posed by 3D-printed guns actually justifies such a transformative change to how printers work remains up for debate. The guns are certainly getting better in terms of performance. There are also more of them. In 2024, the NYPD said it recovered 109 mostly 3D-printed guns from crime scenes. That’s up from just one recorded three years prior. A separate 2024 report from the gun control advocacy group Everytown found similar results in 20 other cities.

All of that is a drop in the bucket compared to conventional guns collected at crime scenes. In 2025 alone, then-Mayor Eric Adams claimed the NYPD seized more than 5,200 illegal guns. The total number of firearms in the country more broadly has been estimated to outnumber people.

But Blackford says he wasn’t convinced 3D-printed guns pose an especially immediate danger. In his view, they are still primarily made by tinkerers and gun enthusiasts with a passion for the process and plenty of time on their hands. In most cases, he’s convinced, getting a real gun is still much easier than printing one.

3D printing, Blackford says, “is too much of a pain in the ass.”

And if legislation like New York’s or California’s ever reaches Kentucky, Blackford says he’s ready to get creative, either by using VPNs or figuring out some other workaround. He’s likely not alone.

“Some companies are going to be putting those locks in place, but I think open-source software is always going to prevail,” Blackford says.

Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.
#ereader #case #gunTech

Is an e-reader case as dangerous as a Glock 19?

Last month, Louisville, Kentucky-based creator Luke The Maker showed off a bizarre, 3D-printed, pistol-shaped case design for the popular minimalist Xteink X4 e-reader. The X4 lies vertically atop the plastic gun’s slide, with a cutout on the side to access its buttons. Though the frame was digitally modeled after a real gun, this “case” can’t shoot bullets. Squeezing the trigger does nothing at all. He calls his contraption the “Gundle.”

In a post showing off the wacky accessory, Luke (whose last name is Blackford) can be seen flipping through Cormac McCarthy’s Blood Meridian and J.D. Salinger’s The Catcher in the Rye before tossing the gun e-reader case in his car’s center console.

“The perfect e-reader for public reading,” text reads over the clip.

But even though this internet experiment is clearly intended as a joke or commentary, it’s possible future 3D printers won’t see it that way. Lawmakers in multiple states are pushing for laws mandating gun-blocking software on all new printers sold. This still-evolving technology would, in theory, scan every file before it’s physically printed and try to algorithmically determine whether it’s a firearm or firearm part. If the software decides that the thing being printed looks enough like a gun, it stops the printer from completing the job. That is, if it even works. Lawmakers in New York and California are leaving it up to a panel of industry experts to weigh whether the proposed vision is even technically feasible. Despite that cloud of uncertainty, legislation mandating this blocking tech has already become law in New York and passed California’s state assembly.

“I didn’t want it to be so publicly available. I just didn’t want tons of them out there.”

That may sound reasonable enough, but makers and industry experts previously told The Verge that the tech is underdeveloped and risks introducing false positives where non-guns that look gun-like get unnecessarily blocked. Blackford’s e-reader case falls directly in that detection gray area. Blackford says he didn’t explicitly make the Gundle to challenge the proposed laws, but he also didn’t shy away from expressing his opinion about them.

“I’m not for that kind of thing because I’m big into open software,” Blackford says. “It’s just a wild frontier right now, so I definitely don’t trust [gun blueprint scanning tech] now.”

“If people want to 3D print a gun, they’re going to do it,” he adds. “I don’t think it’s up to the people making the slicers to control that kind of thing.”

Those pushing for these mandates, meanwhile, wouldn’t say whether their proposed tech would stop Blackford from making a harmless case. New York Gov. Kathy Hochul’s office didn’t respond to questions about Blackford’s device specifically, or the implications false positives could have for a maker’s ability to freely express themself.

“Governor Hochul is laser-focused on improving public safety and reducing gun violence in New York,” deputy communications director at the Office of Governor Kathy Hochul and spokesperson Jess D’Amelia tells The Verge. “This law relies on the expertise of leading subject matter experts to evaluate and harness emerging technologies while addressing the real and growing threat of ghost guns and illegally manufactured weapons of war. The Governor is confident these measures will make all New York communities safer.”

“The intent of the law is not to block prints like this, but I think this print is a really good example of why that’s hard.”

Cliff Braun, associate director of technology policy and research at the Electronic Frontier Foundation, who has spoken critically of California’s proposal, says it’s unclear whether the proposed system would flag Blackford’s design. While the technology exists, Braun says it’s currently in a “limited form.” Critics say a more cautious detection system that relies on hashes to flag known firearms and parts from a database could be trivially easy to sidestep by simply making small changes to a file’s design. A more expansive approach using AI to analyze a file’s geometry and predict if it’s a gun, by contrast, may be more prone to mistakes. Things that look gun-ish but aren’t, in other words, might get swept up. Lawmakers in both states are leaving it to expert panels to iron out the details of implementation, but the final result, Braun says, will have to grapple with an unavoidable tradeoff between false positives and false negatives.

“The intent of the law is not to block prints like this, but I think this print is a really good example of why that’s hard,” Braun says.

Handguns like the one Blackford modeled his design on are particularly problematic. In 2022, the ATF updated its rules clarifying that the only parts of a firearm that legally require a serial number are those that provide the housing or structure for the weapon’s “primary fire control component.” In AR-15s and other long guns, that’s the receiver. Braun notes that the shapes of receivers are relatively unique and distinguishable, as are machine gun conversion devices. That’s not quite the same with a handgun. There, the part that requires a serial number is the frame. And unlike receivers, frames are visually far more ambiguous. Water hoses, toy guns, and power tools all share somewhat similar shapes.

Dartmouth College associate professor of engineering Solomon Diamond tells The Verge that whether Blackford’s e-reader case gets blocked really depends on the type of technology that particular printer deploys. A more conservative hashing approach would fall flat because Blackford’s device wouldn’t match one of the exact hashes on a database of prohibited files. A different system using computer vision and AI to evaluate where an object likely resembles a gun, however, could flag it by mistake.

“Basing blocking tech on visual resemblance is where the false positive concerns arise because a prop and a real functional firearm resemble one another,” Diamond told The Verge. “The technical challenge here is that depending on training data and algorithms used, setting decision thresholds that have acceptably low false positive rates might have unacceptably high false negative rates and vice versa.”

“Visual resemblance might be fooled by [the] gun-shaped e-reader case,” he added.

Diamond noted a third option, “geometric identification,” could potentially thread the needle. This approach, which is currently being deployed to guide quality control in manufacturing, can be fine-tuned for what Diamond refers to as “exact geometric match,” where a zero false-positive rate is at least theoretically possible. This approach is still relatively new when it comes to 3D print blocking tech.

“Geometric Identification would not be fooled by your gun-shaped e-reader case,” he said.

3D printer manufacturers and the experts setting the standards for how blocking software mandates will work are then left with a complex choice. Requiring systems that are both actually effective at detecting guns and technically feasible to introduce in the near future will necessarily mean some non-guns get caught in the crossfire. Pretty quickly, that starts limiting how makers, hobbyists, and artists can express themselves.

“If you’re going to try and block all of those wonderfully creative humans, you’re going to make it very hard to print props or make social commentary,” Braun said.

Blackford says making the Gundle was relatively straightforward. He first went online and did a simple search for “free gun model,” which turned up the blueprints for the gun shell part of the case. He then uploaded that to Fusion 360, his preferred modeling program, and added the e-reader on top and built the case around it. The Xteink X4 is one of the cheaper e-readers on the market, and though it has limited functionality, its devoted community regularly works to improve it. With the digital design finalized, Blackford sent it off to his Bambu Lab H2D printer. The entire process, from initial idea to printed product, took less than 24 hours.

Even though the device doesn’t shoot, Blackford says he still hasn’t taken it out in public. He’s since published the files on his website, where anyone with a 3D printer can download them and make their own. Blackford admits he did this with some hesitation. The case isn’t a gun, but it looks enough like one that someone brandishing it in the open, or revealing it during a confrontation with law enforcement, could find themselves in a seriously dangerous misunderstanding. He talked things over with his wife before publishing, and ultimately decided to avoid larger marketplaces like Thingiverse or Printables so it wouldn’t spread too widely. This way, he says, people can still find it if they are interested but won’t randomly stumble upon it.

“I didn’t want it to be so publicly available,” Blackford says. “I just didn’t want tons of them out there.”

“If you’re going to try and block all of those wonderfully creative humans, you’re going to make it very hard to print props or make social commentary.”

There’s also some question as to whether walking around with the case would violate already existing federal laws requiring toys or other “look-alike firearms” to have distinctive markings. These so-called “orange tip laws” are why fake guns and airsoft guns have blaze-orange plastic tips attached to their muzzles when they are manufactured and sold. But the e-reader case isn’t really a toy or a fake gun, but an art project.

Regardless, Blackford says if he ever did take it out in public, he’d print a version in a different color to make clear it isn’t imitating a real weapon. That’s not an overreaction. Walking around in public with something that resembles a gun, even if it is functionally useless, can make interactions with police and other gun owners dangerous, or even deadly. In 2014, Cleveland police shot and killed a 12-year-old boy named Tamir Rice after he reached for a toy gun. A 2016 Washington Post report estimated that over the span of two years, police shot and killed 86 people who were holding realistic-looking toy weapons and pellet and airsoft guns.

Supporters of blueprint scanning mandates say it’s necessary to close an enforcement gap that’s giving those with felony convictions and others access to guns when they shouldn’t have them. Various laws prohibiting the manufacture and sale of 3D-printed ghost guns (untraceable firearms without serial numbers) already exist across the country. But people print in the privacy of their own homes, making enforcing those laws nearly impossible. Hochul has called this dynamic the “plastic pipeline” and warns of criminals printing guns on their kitchen tables. Mandating scanning software would shift the responsibility onto printer manufacturers, stopping the illegal guns before they are ever made.

Whether the threat posed by 3D-printed guns actually justifies such a transformative change to how printers work remains up for debate. The guns are certainly getting better in terms of performance. There are also more of them. In 2024, the NYPD said it recovered 109 mostly 3D-printed guns from crime scenes. That’s up from just one recorded three years prior. A separate 2024 report from the gun control advocacy group Everytown found similar results in 20 other cities.

All of that is a drop in the bucket compared to conventional guns collected at crime scenes. In 2025 alone, then-Mayor Eric Adams claimed the NYPD seized more than 5,200 illegal guns. The total number of firearms in the country more broadly has been estimated to outnumber people.

But Blackford says he wasn’t convinced 3D-printed guns pose an especially immediate danger. In his view, they are still primarily made by tinkerers and gun enthusiasts with a passion for the process and plenty of time on their hands. In most cases, he’s convinced, getting a real gun is still much easier than printing one.

3D printing, Blackford says, “is too much of a pain in the ass.”

And if legislation like New York’s or California’s ever reaches Kentucky, Blackford says he’s ready to get creative, either by using VPNs or figuring out some other workaround. He’s likely not alone.

“Some companies are going to be putting those locks in place, but I think open-source software is always going to prevail,” Blackford says.

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What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?  

The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details. 

The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there. 

This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.  

Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.  

Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?  

“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” 
 
Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.  

There are around 3,600 AI startups in London, which, together, have raised around $12.1 billion out of the $14.8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. 
 
That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.  

Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.  

Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a $3.3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.  

“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.” 

This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?  

The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details. 







The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there. 

This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.  

Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.  

Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?  

“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.”  Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.  


There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me.  That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.  

Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.  

Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.  







“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.” 

Image Credits:Phoenix Court

Top founders want to stay 

Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said.  Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.  

“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said.  Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia. 

Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said. 

Image Credits:Synthesia

Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.  

Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up. 

“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK
Image Credits:Phoenix Court

Top founders want to stay

Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. 
 
Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.  

“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. 
 
Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia. 

Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said. 

Image Credits:Synthesia

Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.  

Unsurprisingly, London’s AI boom is also causing a talent war.

U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up. 

“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK">This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?  

The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details. 







The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there. 

This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.  

Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.  

Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?  

“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.”  Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.  


There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me.  That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.  

Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.  

Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.  







“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.” 

Image Credits:Phoenix Court

Top founders want to stay 

Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said.  Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.  

“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said.  Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia. 

Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said. 

Image Credits:Synthesia

Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.  

Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up. 

“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK

European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.  

Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.  

Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?  

“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” 
 
Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.  

There are around 3,600 AI startups in London, which, together, have raised around $12.1 billion out of the $14.8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. 
 
That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.  

Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.  

Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a $3.3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.  

“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.” 

This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?  

The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details. 







The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there. 

This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.  

Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.  

Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?  

“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.”  Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.  


There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me.  That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.  

Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.  

Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.  







“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.” 

Image Credits:Phoenix Court

Top founders want to stay 

Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said.  Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.  

“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said.  Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia. 

Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said. 

Image Credits:Synthesia

Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.  

Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up. 

“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK
Image Credits:Phoenix Court

Top founders want to stay

Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. 
 
Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.  

“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. 
 
Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia. 

Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said. 

Image Credits:Synthesia

Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.  

Unsurprisingly, London’s AI boom is also causing a talent war.

U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up. 

“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK">This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch

What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?  

The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details. 

The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there. 

This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.  

Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.  

Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?  

“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” 
 
Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.  

There are around 3,600 AI startups in London, which, together, have raised around $12.1 billion out of the $14.8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. 
 
That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.  

Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.  

Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a $3.3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.  

“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.” 

This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?  

The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details. 







The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there. 

This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.  

Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.  

Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?  

“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.”  Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.  


There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me.  That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.  

Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.  

Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.  







“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.” 

Image Credits:Phoenix Court

Top founders want to stay 

Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said.  Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.  

“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said.  Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia. 

Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said. 

Image Credits:Synthesia

Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.  

Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up. 

“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK
Image Credits:Phoenix Court

Top founders want to stay

Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. 
 
Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.  

“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. 
 
Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia. 

Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said. 

Image Credits:Synthesia

Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.  

Unsurprisingly, London’s AI boom is also causing a talent war.

U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up. 

“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK
Why Remote Server Access Is a Common Attack Vector

Every cloud server exposes at least one remote access point – usually SSH on port 22 – and that port is scanned constantly by bots looking for weak credentials. Password-based login is the most common way a system can be attacked by brute force, and it is quite common with a standard setup that the system is left in a state where an admin/user of that system – “root user” – can log in directly by guessing the user ID and the password combination. Add in shared team credentials, forgotten firewall rules from old projects, and staging servers left publicly reachable, and it’s clear why misconfigured remote access – not zero-day exploits – is behind most cloud server compromises. The fix is simple, though you’ll need to do some setup yourself instead of trusting the default setting.

How to lock down SSH access in the right way

The best way to secure remote access is through a series of small improvements rather than one major overhaul. The following is a real working method:

  1. Switch to SSH key authentication, then turn off password login completely in the same location: sshd_config. Keys are far harder to brute-force than passwords.
  2. Disable root login over SSH and require a non-root user with sudo privileges instead; this is a security advantage that even without any change, one key compromising would limit the impact.
  3. Change the default SSH port away from 22 to cut down on automated scanning noise (not a security measure on its own, but it reduces log clutter).
  4. Restrict access by IP using your firewall or security group, allowing SSH only from known office or VPN IP ranges rather than the entire internet.
  5. Add a VPN as a connection layer for anyone accessing servers from outside a trusted network – a VPN like Planet VPN’s free VPN service can encrypt the connection between a remote worker’s laptop and the server before SSH traffic ever leaves their device, which matters especially on public wi-fi or shared networks.

Every step you take closes the doors that the attacker may open slightly, and when you combine everything, you would have a door to a series of locked gates.

Why Do I Need a Bastion Host?

When it comes to teams working with many servers, deploying a bastion host (jump box) may be a clean and effective way to solve the long-term problem. With this method, you only expose SSH to the bastion, and the other servers accept it only when it’s from the bastion’s internal IP. This centralizes logging and makes auditing access far simpler.

Using a virtual private network (VPN) and a bastion host together is perfectly fine – and many solutions use both: a safe way to access the private network via a VPN, followed by use of a bastion host to restrict which servers can be accessed. Some teams may decide to forgo the bastion because they don’t have the manpower to manage one, and so use a combination of a VPN and a set of firewall rules that still quite a bit lowers the exposure, but without the extra effort.

Mistakes Leading to Leaving Cloud Servers Open

The Mistakes That Cause Leaving Cloud Servers Open: Even the safest development teams may have slip-ups from time to time. One of the most frequent is leaving staged, or test servers with relaxed firewall rules equivalent to those of the production environment – hackers don’t concern themselves with which environment they first land on. Another frequent error is reusing the same SSH key on several servers and clients, causing one hacked laptop to compromise all servers that key has access to.

Another common human error is not removing or changing access when someone leaves the team, so stale credentials remain valid and accessible. At last, putting trust in the strategy of “security through obscurity” – meaning one thinks that setting up the unusual port or hiding the hostname from the public is actually sufficient security – creates a wrong impression of security. This is mostly true; in reality, modern-day attackers scan all ports anyway, and there is no way to hide from them.

System Administrators Guide to Secure Remote Access 

Prohibit SSH password logins totally and depend exclusively on key-based authentication

  • Surely no one wants to type in the password every time; because of this, use only key-based authentication 
  • Deter the user from logging in as root by default and instead use the sudo command to do root tasks
  • A firewall or security group rule can provide great help with IP address-based restrictions on SSH logins 
  • For access that comes from untrusted sources or external networks, use a secure tunnel like a vpn or bastion host
  • Periodically change SSH keys and inspect access lists
  • Maintain records of login attempts and detect brute-force attacks as quickly as possible

Frequently Asked Questions

What is the principal means by which cloud servers suffer break-ins through remote access?

By far the biggest reason why this can happen is unauthorized password-based SSH logins that have been cracked by brute force. The scenario is most likely to develop where the administrator allows root login via password and leaves the default port open.

Sufficient security measures for the server via SSH keys: Do you think it is safe to rely only on key authentication? 

It is true that SSH keys drastically decrease the danger of a successful brute-force attack. However, if there is only key authentication on the server, there are still risks – the server administrator can always enable root login or disable the IP-based login restrictions. So it is recommended to always have these three in the server configuration: disabled root login, restricted access to known IPs, and rotating the keys regularly as the main components of meaningful protection. 

Is it really necessary to set up a separate VPN network while I am able to connect via SSH keys? 

A VPN gives extra security by first encrypting your computer traffic before it reaches your network, where the SSH connection will be used. This is mostly important when working on untrusted networks – like public wi-fi – where there is a threat of a potential hacker in your local network looking at your data.

Bastion host vs VPN as methods of accessing the server? 

The bastion host works by funneling SSH sessions from many users through a single, carefully monitored server point while the rest of the network (and mostly the servers) remains protected from the internet. At the same time, a vpn will fully encrypt the communication between the user and the corporate network or servers. The combination is very common among larger security teams as a part of the defense-in-depth principle. 

How often should SSH keys be rotated? 

The ideal period to change your SSH keys depends on the security practices of your organization, but generally a good practice is to change SSH keys between 90 and 180 days, or in the case that the user who had access with the key leaves or is no longer able to be contacted, such as when a team member leaves.

Why is only changing the port number for SSH enough to secure that port?

Changing the port reduces automated scanning noise in your logs but isn’t a real security control on its own — port scanners check all ports, so it should never replace key-based auth and firewall rules.

#Secure #Remote #Access #Cloud #ServerCloud,remote access">How to Secure Remote Access to Your Cloud Server in 2026
	
Protection against unauthorized remote logins to your cloud server is a matter of SSH key-based authentication, a strict security policy on the firewall, two-factor authentication, and a secure communication channel – no individual component will give adequate protection by itself. The major risk point in breaches is not the server but the open door to remote login. To patch that vulnerability, you need a series of countermeasures, not a magical setting.





Why Remote Server Access Is a Common Attack Vector



Every cloud server exposes at least one remote access point – usually SSH on port 22 – and that port is scanned constantly by bots looking for weak credentials. Password-based login is the most common way a system can be attacked by brute force, and it is quite common with a standard setup that the system is left in a state where an admin/user of that system – “root user” – can log in directly by guessing the user ID and the password combination. Add in shared team credentials, forgotten firewall rules from old projects, and staging servers left publicly reachable, and it’s clear why misconfigured remote access – not zero-day exploits – is behind most cloud server compromises. The fix is simple, though you’ll need to do some setup yourself instead of trusting the default setting.



How to lock down SSH access in the right way



The best way to secure remote access is through a series of small improvements rather than one major overhaul. The following is a real working method:




Switch to SSH key authentication, then turn off password login completely in the same location: sshd_config. Keys are far harder to brute-force than passwords.



Disable root login over SSH and require a non-root user with sudo privileges instead; this is a security advantage that even without any change, one key compromising would limit the impact.



Change the default SSH port away from 22 to cut down on automated scanning noise (not a security measure on its own, but it reduces log clutter).



Restrict access by IP using your firewall or security group, allowing SSH only from known office or VPN IP ranges rather than the entire internet.



Add a VPN as a connection layer for anyone accessing servers from outside a trusted network – a VPN like Planet VPN’s free VPN service can encrypt the connection between a remote worker’s laptop and the server before SSH traffic ever leaves their device, which matters especially on public wi-fi or shared networks.




Every step you take closes the doors that the attacker may open slightly, and when you combine everything, you would have a door to a series of locked gates.



Why Do I Need a Bastion Host?



When it comes to teams working with many servers, deploying a bastion host (jump box) may be a clean and effective way to solve the long-term problem. With this method, you only expose SSH to the bastion, and the other servers accept it only when it’s from the bastion’s internal IP. This centralizes logging and makes auditing access far simpler.



Using a virtual private network (VPN) and a bastion host together is perfectly fine – and many solutions use both: a safe way to access the private network via a VPN, followed by use of a bastion host to restrict which servers can be accessed. Some teams may decide to forgo the bastion because they don’t have the manpower to manage one, and so use a combination of a VPN and a set of firewall rules that still quite a bit lowers the exposure, but without the extra effort.



Mistakes Leading to Leaving Cloud Servers Open



The Mistakes That Cause Leaving Cloud Servers Open: Even the safest development teams may have slip-ups from time to time. One of the most frequent is leaving staged, or test servers with relaxed firewall rules equivalent to those of the production environment – hackers don’t concern themselves with which environment they first land on. Another frequent error is reusing the same SSH key on several servers and clients, causing one hacked laptop to compromise all servers that key has access to.



Another common human error is not removing or changing access when someone leaves the team, so stale credentials remain valid and accessible. At last, putting trust in the strategy of “security through obscurity” – meaning one thinks that setting up the unusual port or hiding the hostname from the public is actually sufficient security – creates a wrong impression of security. This is mostly true; in reality, modern-day attackers scan all ports anyway, and there is no way to hide from them.



System Administrators Guide to Secure Remote Access 



Prohibit SSH password logins totally and depend exclusively on key-based authentication




Surely no one wants to type in the password every time; because of this, use only key-based authentication 



Deter the user from logging in as root by default and instead use the sudo command to do root tasks



A firewall or security group rule can provide great help with IP address-based restrictions on SSH logins 



For access that comes from untrusted sources or external networks, use a secure tunnel like a vpn or bastion host



Periodically change SSH keys and inspect access lists



Maintain records of login attempts and detect brute-force attacks as quickly as possible




Frequently Asked Questions



What is the principal means by which cloud servers suffer break-ins through remote access? By far the biggest reason why this can happen is unauthorized password-based SSH logins that have been cracked by brute force. The scenario is most likely to develop where the administrator allows root login via password and leaves the default port open.  Sufficient security measures for the server via SSH keys: Do you think it is safe to rely only on key authentication?  It is true that SSH keys drastically decrease the danger of a successful brute-force attack. However, if there is only key authentication on the server, there are still risks – the server administrator can always enable root login or disable the IP-based login restrictions. So it is recommended to always have these three in the server configuration: disabled root login, restricted access to known IPs, and rotating the keys regularly as the main components of meaningful protection.   Is it really necessary to set up a separate VPN network while I am able to connect via SSH keys?  A VPN gives extra security by first encrypting your computer traffic before it reaches your network, where the SSH connection will be used. This is mostly important when working on untrusted networks – like public wi-fi – where there is a threat of a potential hacker in your local network looking at your data.  Bastion host vs VPN as methods of accessing the server?  The bastion host works by funneling SSH sessions from many users through a single, carefully monitored server point while the rest of the network (and mostly the servers) remains protected from the internet. At the same time, a vpn will fully encrypt the communication between the user and the corporate network or servers. The combination is very common among larger security teams as a part of the defense-in-depth principle.   How often should SSH keys be rotated?  The ideal period to change your SSH keys depends on the security practices of your organization, but generally a good practice is to change SSH keys between 90 and 180 days, or in the case that the user who had access with the key leaves or is no longer able to be contacted, such as when a team member leaves.  Why is only changing the port number for SSH enough to secure that port? Changing the port reduces automated scanning noise in your logs but isn’t a real security control on its own — port scanners check all ports, so it should never replace key-based auth and firewall rules.  





#Secure #Remote #Access #Cloud #ServerCloud,remote access

  1. free VPN service can encrypt the connection between a remote worker’s laptop and the server before SSH traffic ever leaves their device, which matters especially on public wi-fi or shared networks.

Every step you take closes the doors that the attacker may open slightly, and when you combine everything, you would have a door to a series of locked gates.

Why Do I Need a Bastion Host?

When it comes to teams working with many servers, deploying a bastion host (jump box) may be a clean and effective way to solve the long-term problem. With this method, you only expose SSH to the bastion, and the other servers accept it only when it’s from the bastion’s internal IP. This centralizes logging and makes auditing access far simpler.

Using a virtual private network (VPN) and a bastion host together is perfectly fine – and many solutions use both: a safe way to access the private network via a VPN, followed by use of a bastion host to restrict which servers can be accessed. Some teams may decide to forgo the bastion because they don’t have the manpower to manage one, and so use a combination of a VPN and a set of firewall rules that still quite a bit lowers the exposure, but without the extra effort.

Mistakes Leading to Leaving Cloud Servers Open

The Mistakes That Cause Leaving Cloud Servers Open: Even the safest development teams may have slip-ups from time to time. One of the most frequent is leaving staged, or test servers with relaxed firewall rules equivalent to those of the production environment – hackers don’t concern themselves with which environment they first land on. Another frequent error is reusing the same SSH key on several servers and clients, causing one hacked laptop to compromise all servers that key has access to.

Another common human error is not removing or changing access when someone leaves the team, so stale credentials remain valid and accessible. At last, putting trust in the strategy of “security through obscurity” – meaning one thinks that setting up the unusual port or hiding the hostname from the public is actually sufficient security – creates a wrong impression of security. This is mostly true; in reality, modern-day attackers scan all ports anyway, and there is no way to hide from them.

System Administrators Guide to Secure Remote Access 

Prohibit SSH password logins totally and depend exclusively on key-based authentication

  • Surely no one wants to type in the password every time; because of this, use only key-based authentication 
  • Deter the user from logging in as root by default and instead use the sudo command to do root tasks
  • A firewall or security group rule can provide great help with IP address-based restrictions on SSH logins 
  • For access that comes from untrusted sources or external networks, use a secure tunnel like a vpn or bastion host
  • Periodically change SSH keys and inspect access lists
  • Maintain records of login attempts and detect brute-force attacks as quickly as possible

Frequently Asked Questions

What is the principal means by which cloud servers suffer break-ins through remote access?

By far the biggest reason why this can happen is unauthorized password-based SSH logins that have been cracked by brute force. The scenario is most likely to develop where the administrator allows root login via password and leaves the default port open.

Sufficient security measures for the server via SSH keys: Do you think it is safe to rely only on key authentication? 

It is true that SSH keys drastically decrease the danger of a successful brute-force attack. However, if there is only key authentication on the server, there are still risks – the server administrator can always enable root login or disable the IP-based login restrictions. So it is recommended to always have these three in the server configuration: disabled root login, restricted access to known IPs, and rotating the keys regularly as the main components of meaningful protection. 

Is it really necessary to set up a separate VPN network while I am able to connect via SSH keys? 

A VPN gives extra security by first encrypting your computer traffic before it reaches your network, where the SSH connection will be used. This is mostly important when working on untrusted networks – like public wi-fi – where there is a threat of a potential hacker in your local network looking at your data.

Bastion host vs VPN as methods of accessing the server? 

The bastion host works by funneling SSH sessions from many users through a single, carefully monitored server point while the rest of the network (and mostly the servers) remains protected from the internet. At the same time, a vpn will fully encrypt the communication between the user and the corporate network or servers. The combination is very common among larger security teams as a part of the defense-in-depth principle. 

How often should SSH keys be rotated? 

The ideal period to change your SSH keys depends on the security practices of your organization, but generally a good practice is to change SSH keys between 90 and 180 days, or in the case that the user who had access with the key leaves or is no longer able to be contacted, such as when a team member leaves.

Why is only changing the port number for SSH enough to secure that port?

Changing the port reduces automated scanning noise in your logs but isn’t a real security control on its own — port scanners check all ports, so it should never replace key-based auth and firewall rules.

#Secure #Remote #Access #Cloud #ServerCloud,remote access">How to Secure Remote Access to Your Cloud Server in 2026

Protection against unauthorized remote logins to your cloud server is a matter of SSH key-based authentication, a strict security policy on the firewall, two-factor authentication, and a secure communication channel – no individual component will give adequate protection by itself. The major risk point in breaches is not the server but the open door to remote login. To patch that vulnerability, you need a series of countermeasures, not a magical setting.

Why Remote Server Access Is a Common Attack Vector

Every cloud server exposes at least one remote access point – usually SSH on port 22 – and that port is scanned constantly by bots looking for weak credentials. Password-based login is the most common way a system can be attacked by brute force, and it is quite common with a standard setup that the system is left in a state where an admin/user of that system – “root user” – can log in directly by guessing the user ID and the password combination. Add in shared team credentials, forgotten firewall rules from old projects, and staging servers left publicly reachable, and it’s clear why misconfigured remote access – not zero-day exploits – is behind most cloud server compromises. The fix is simple, though you’ll need to do some setup yourself instead of trusting the default setting.

How to lock down SSH access in the right way

The best way to secure remote access is through a series of small improvements rather than one major overhaul. The following is a real working method:

  1. Switch to SSH key authentication, then turn off password login completely in the same location: sshd_config. Keys are far harder to brute-force than passwords.
  2. Disable root login over SSH and require a non-root user with sudo privileges instead; this is a security advantage that even without any change, one key compromising would limit the impact.
  3. Change the default SSH port away from 22 to cut down on automated scanning noise (not a security measure on its own, but it reduces log clutter).
  4. Restrict access by IP using your firewall or security group, allowing SSH only from known office or VPN IP ranges rather than the entire internet.
  5. Add a VPN as a connection layer for anyone accessing servers from outside a trusted network – a VPN like Planet VPN’s free VPN service can encrypt the connection between a remote worker’s laptop and the server before SSH traffic ever leaves their device, which matters especially on public wi-fi or shared networks.

Every step you take closes the doors that the attacker may open slightly, and when you combine everything, you would have a door to a series of locked gates.

Why Do I Need a Bastion Host?

When it comes to teams working with many servers, deploying a bastion host (jump box) may be a clean and effective way to solve the long-term problem. With this method, you only expose SSH to the bastion, and the other servers accept it only when it’s from the bastion’s internal IP. This centralizes logging and makes auditing access far simpler.

Using a virtual private network (VPN) and a bastion host together is perfectly fine – and many solutions use both: a safe way to access the private network via a VPN, followed by use of a bastion host to restrict which servers can be accessed. Some teams may decide to forgo the bastion because they don’t have the manpower to manage one, and so use a combination of a VPN and a set of firewall rules that still quite a bit lowers the exposure, but without the extra effort.

Mistakes Leading to Leaving Cloud Servers Open

The Mistakes That Cause Leaving Cloud Servers Open: Even the safest development teams may have slip-ups from time to time. One of the most frequent is leaving staged, or test servers with relaxed firewall rules equivalent to those of the production environment – hackers don’t concern themselves with which environment they first land on. Another frequent error is reusing the same SSH key on several servers and clients, causing one hacked laptop to compromise all servers that key has access to.

Another common human error is not removing or changing access when someone leaves the team, so stale credentials remain valid and accessible. At last, putting trust in the strategy of “security through obscurity” – meaning one thinks that setting up the unusual port or hiding the hostname from the public is actually sufficient security – creates a wrong impression of security. This is mostly true; in reality, modern-day attackers scan all ports anyway, and there is no way to hide from them.

System Administrators Guide to Secure Remote Access 

Prohibit SSH password logins totally and depend exclusively on key-based authentication

  • Surely no one wants to type in the password every time; because of this, use only key-based authentication 
  • Deter the user from logging in as root by default and instead use the sudo command to do root tasks
  • A firewall or security group rule can provide great help with IP address-based restrictions on SSH logins 
  • For access that comes from untrusted sources or external networks, use a secure tunnel like a vpn or bastion host
  • Periodically change SSH keys and inspect access lists
  • Maintain records of login attempts and detect brute-force attacks as quickly as possible

Frequently Asked Questions

What is the principal means by which cloud servers suffer break-ins through remote access?

By far the biggest reason why this can happen is unauthorized password-based SSH logins that have been cracked by brute force. The scenario is most likely to develop where the administrator allows root login via password and leaves the default port open.

Sufficient security measures for the server via SSH keys: Do you think it is safe to rely only on key authentication? 

It is true that SSH keys drastically decrease the danger of a successful brute-force attack. However, if there is only key authentication on the server, there are still risks – the server administrator can always enable root login or disable the IP-based login restrictions. So it is recommended to always have these three in the server configuration: disabled root login, restricted access to known IPs, and rotating the keys regularly as the main components of meaningful protection. 

Is it really necessary to set up a separate VPN network while I am able to connect via SSH keys? 

A VPN gives extra security by first encrypting your computer traffic before it reaches your network, where the SSH connection will be used. This is mostly important when working on untrusted networks – like public wi-fi – where there is a threat of a potential hacker in your local network looking at your data.

Bastion host vs VPN as methods of accessing the server? 

The bastion host works by funneling SSH sessions from many users through a single, carefully monitored server point while the rest of the network (and mostly the servers) remains protected from the internet. At the same time, a vpn will fully encrypt the communication between the user and the corporate network or servers. The combination is very common among larger security teams as a part of the defense-in-depth principle. 

How often should SSH keys be rotated? 

The ideal period to change your SSH keys depends on the security practices of your organization, but generally a good practice is to change SSH keys between 90 and 180 days, or in the case that the user who had access with the key leaves or is no longer able to be contacted, such as when a team member leaves.

Why is only changing the port number for SSH enough to secure that port?

Changing the port reduces automated scanning noise in your logs but isn’t a real security control on its own — port scanners check all ports, so it should never replace key-based auth and firewall rules.

#Secure #Remote #Access #Cloud #ServerCloud,remote access

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