James Showalter describes a pretty specific if not entirely implausible nightmare scenario. Someone drives up to your house, cracks your Wi-Fi password, and then starts messing with the solar inverter mounted beside your garage. This unassuming gray box converts the direct current from your rooftop panels into the alternating current that powers your home.
“You’ve got to have a solar stalker” for this scenario to play out, says Showalter, describing the kind of person who would need to physically show up in your driveway with both the technical know-how and the motivation to hack your home energy system.
The CEO of EG4 Electronics, a company based in Sulphur Springs, Texas, doesn’t consider this sequence of events particularly likely. Still, it’s why his company last week found itself in the spotlight when U.S. cybersecurity agency CISA published an advisory detailing security vulnerabilities in EG4’s solar inverters. The flaws, CISA noted, could allow an attacker with access to the same network as an affected inverter and its serial number to intercept data, install malicious firmware, or seize control of the whole system.
For the roughly 55,000 customers who own EG4’s affected inverter model, the episode probably felt like an unsettling introduction to a device that they little understand. What they’re learning is that modern solar inverters aren’t simple power converters anymore. They now serve as the backbone of home energy installations, monitoring performance, communicating with utility companies, and, when there’s excess power, feeding it back into the grid.
Much of this has happened without people noticing. “Nobody knew what the hell a solar inverter was five years ago,” observes Justin Pascale, a principal consultant at Dragos, a cybersecurity firm that specializes in industrial systems. “Now we’re talking about it at the national and international level.”
Security shortcomings and customers complaints
Some of the numbers highlight the degree to which individual homes in the U.S. are becoming miniature power plants. According to the U.S. Energy Information Administration, small-scale solar installations – primarily residential – grew more than fivefold between 2014 and 2022. What was once the province of climate advocates and early adopters became more mainstream owing to falling costs, government incentives, and a growing awareness of climate change.
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Each solar installation adds another node to an expanding network of interconnected devices, each one contributing to energy independence but also becoming a potential entry point for someone with malicious intent.
When pressed about his company’s security standards, Showalter acknowledges its shortcomings, but he also deflects. “This is not an EG4 problem,” he says. “This is an industry-wide problem.” Over a Zoom call and later, in this editor’s inbox, he produces a 14-page report cataloguing 88 solar energy vulnerability disclosures across commercial and residential applications since 2019.
Not all of his customers – some of whom took to Reddit to complain – are sympathetic, particularly given that CISA’s advisory revealed fundamental design flaws: communication between monitoring applications and inverters that occurred in unencrypted plain text, firmware updates that lacked integrity checks, and rudimentary authentication procedures.
“These were fundamental security lapses,” says one customer of the company, who asked to speak anonymously. “Adding insult to injury,” continues this individual, “EG4 didn’t even bother to notify me or offer suggested mitigations.”
Asked why EG4 didn’t alert customers straightaway when CISA reached out to the company, Showalter calls it a “live and learn” moment.
“Because we’re so close [to addressing CISA’s concerns] and it’s such a positive relationship with CISA, we were going to get to the ‘done’ button, and then advise people, so we’re not in the middle of the cake being baked,” says Showalter.
TechCrunch reached out to CISA earlier this week for more information; the agency has not responded. In its advisory about EG4, CISA states that “no known public exploitation specifically targeting these vulnerabilities has been reported to CISA at this time.”
Connections to China spark security concerns
While unrelated, the timing of EG4’s public relations crisis coincides with broader anxieties about the supply chain security of renewable energy equipment.
Earlier this year, U.S. energy officials reportedly began reassessing risks posed by devices made in China after discovering unexplained communication equipment inside some inverters and batteries. According to a Reuters investigation, undocumented cellular radios and other communication devices were found in equipment from multiple Chinese suppliers – components that hadn’t appeared on official hardware lists.
This reported discovery carries particular weight given China’s dominance in solar manufacturing. That same Reuters story noted that Huawei is the world’s largest supplier of inverters, accounting for 29% of shipments globally in 2022, followed by Chinese peers Sungrow and Ginlong Solis. Some 200 GW of European solar power capacity is linked to inverters made in China, which is roughly equivalent to more than 200 nuclear power plants.
The geopolitical implications haven’t escaped notice. Lithuania last year passed a law blocking remote Chinese access to solar, wind and battery installations above 100 kilowatts, effectively restricting the use of Chinese inverters. Showalter says his company is responding to customer concerns by similarly starting to move away from Chinese suppliers and toward components made by companies elsewhere, including in Germany.
But the vulnerabilities CISA described in EG4’s systems raise questions that extend beyond any single company’s practices or where it sources its components. The U.S. standards agency NIST warns that “if you remotely control a large enough number of home solar inverters, and do something nefarious at once, that could have catastrophic implications to the grid for a prolonged period of time.”
The good news (if there is any), is that while theoretically possible, this scenario faces a lot of practical limitations.
Pascale, who works with utility-scale solar installations, notes that residential inverters serve primarily two functions: converting power from direct to alternating current, and facilitating the connection back to the grid. A mass attack would require compromising vast numbers of individual homes simultaneously. (Such attacks are not impossible but are more likely to involve targeting the manufacturers themselves, some of which have remote access to their customers’ solar inverters, as evidenced by security researchers last year.)
The regulatory framework that governs larger installations does not right now extend to residential systems. The North American Electric Reliability Corporation’s Critical Infrastructure Protection standards currently apply only to larger facilities producing 75 megawatts or more, like solar farms.
Because residential installations fall so far below these thresholds, they operate in a regulatory gray zone where cybersecurity standards remain suggestions rather than requirements.
But the end result is that the security of thousands of small installations depends largely on the discretion of individual manufacturers that are operating in a regulatory vacuum.
On the issue of unencrypted data transmission, for example, which is one reason EG4 received that slap on the hand from CISA, Pascale notes that in utility-scale operational environments, plain text transmission is common and sometimes encouraged for network monitoring purposes.
“When you look at encryption in an enterprise environment, it is not allowed,” he explains. “But when you look at an operational environment, most things are transmitted in plain text.”
Put another way, the real concern isn’t an immediate threat to individual homeowners. Instead it ties to the aggregate vulnerability of a rapidly expanding network. As the energy grid becomes increasingly distributed, with power flowing from millions of small sources rather than dozens of large ones, the attack surface expands exponentially. Each inverter represents a potential pressure point in a system that was never designed to accommodate this level of complexity.
Showalter has embraced CISA’s intervention as what he calls a “trust upgrade” – an opportunity to differentiate his company in a crowded market. He says that since June, EG4 has worked with the agency to address the identified vulnerabilities, reducing an initial list of ten concerns to three remaining items that the company expects to resolve by October. The process has involved updating firmware transmission protocols, implementing additional identity verification for technical support calls, and redesigning authentication procedures.
But for those like the anonymous EG4 customer who spoke with frustration about the company’s response, the episode highlights the odd position that solar adopters find themselves in. They purchased what they understood to be climate-friendly tech, only to discover they’d become unwitting participants in a knotty cybersecurity landscape that few seem to fully comprehend.
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![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 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](https://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680)

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