Glow raises $180M at $1.2B valuation to tackle AI endpoint security with prevention-first approach

Glow emerges from stealth at $1.2B valuation to challenge endpoint security in the AI era

Glow, a cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth as a unicorn, betting that artificial intelligence is reshaping how enterprises secure employee devices. The Palo Alto-headquartered startup on Wednesday said it raised $180 million in an all-equity Series A funding round that valued it at $1.2 billion, with backing from Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, alongside participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. The investment made Glow one of the latest cybersecurity startups to achieve unicorn status before publicly disclosing revenue metrics. As more enterprises deploy AI tools and attackers increasingly use generative AI to automate phishing, develop malware, and launch more sophisticated cyberattacks, companies are rethinking how they secure endpoints -- from employee laptops to servers and other connected devices. Concerns have intensified since Anthropic unveiled its Mythos AI model, which the company said demonstrated advanced capabilities in identifying and exploiting software vulnerabilities, prompting broader debate over AI-assisted cyberattacks. Glow is betting that this shift requires a new approach to endpoint security. Founded in 2025, Glow is building an endpoint security platform that helps enterprises monitor and control the software, AI agents, and developer tools running on employee devices. The startup said the platform uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies. "If you think of the past decade, everything was moving to the cloud and SaaS. Suddenly, AI lands on the endpoint in a way we've never seen," co-founder and chief executive Roi Tiger (pictured above, center) said in an interview. Tiger, a former Meta vice president of engineering, co-founded Glow alongside former Snowflake cybersecurity strategy head Omer Singer (pictured above, left), former Claroty vice president of research and development Ophir Arie (pictured above, right), and former Meta engineering leader Arnon Joseph. The startup's leadership team also includes chief operating officer Emily Heath, a former chief information security officer at United Airlines and DocuSign who served on the board of Wiz through its $32 billion acquisition by Google and was previously a partner at Cyberstarts. Even though it has only just emerged from stealth, Glow said it already has paying customers across industries including healthcare, retail, and financial services. However, it declined to disclose customer names and numbers. The startup's typical deployments, Tiger said, span tens of thousands of employee devices across global organizations. To power the platform, Glow uses AI models from Anthropic and Google's Gemini through Amazon Bedrock, while building its own software to provide the models with enterprise context and improve their reliability for security tasks, Tiger told TechCrunch. Glow's platform, Tiger said, has already prevented malicious npm packages, third-party software components used to build applications, from being installed in customer environments, identified AI agents attempting to pull in such software, and detected employee devices where endpoint detection and response tools were missing or operating with reduced functionality. Glow enters a crowded endpoint security market dominated by companies including CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger said existing endpoint detection and response products focus primarily on detecting threats after they emerge, whereas Glow is designed to prevent risky software, AI agents, and developer tools from entering enterprise environments in the first place. The startup employs nearly 100 people, about 70% of whom are in Israel and the remainder in the U.S. Whether AI-native endpoint security platforms become a distinct category remains to be seen, as enterprises are only beginning to grapple with the security implications of increasingly capable AI models.

Ex-Meta founder's Glow raises $180M for AI endpoint security

Glow has come out of stealth at a $1.2bn valuation, backed by Sequoia and the Wiz backer Cyberstarts, with a prevention-first pitch: let AI agents block risky software before it reaches a device. Whether enterprises hand that decision to an agent is the open question. The founder now asking enterprises to trust AI with their laptops once built one of Silicon Valley's most notorious surveillance tools. Roi Tiger co-created Onavo, the app Meta turned into a scheme to spy on its rivals. His new company, Glow, wants to do something close to the opposite. Glow has emerged from stealth with $180m in funding at a $1.2bn valuation. Sequoia, Cyberstarts, Greenoaks and Redpoint Ventures led the round, with Index Ventures, Lux Capital and others joining. Founded in 2025 and split between Tel Aviv and Palo Alto, the startup already employs close to 100 people. Prevention over detection Its pitch inverts how most security works. Today's tools mostly spot threats and respond after the fact. Glow wants to prevent them, using AI agents that map everything running on a device, judge the risk, and block unapproved software before it lands. "Prevention was always the right answer in security. It just never worked at enterprise scale without blocking the business," said Tiger. "AI solves that." His case rests on a shift he says AI forced. By Glow's own count, regular AI use on corporate devices has jumped from 15% to 45% in a year, much of it unapproved. That widens the attack surface just as attackers gain frontier models of their own. Glow argues teams should assume adversaries wield Mythos-class AI, able to exploit any overlooked gap at machine speed. Its agents run on Anthropic and Google Gemini models, via Amazon Bedrock, layered with Glow's own reasoning engine. The firm says the system has already stopped malicious code packages from installing on customer devices. The founder's shadow That is where Tiger's past complicates the sell. He co-founded Onavo, a data-analytics app Meta bought in 2013, and stayed nine years, rising to VP of engineering. As Tech Funding News noted, Onavo became the basis of "Project Ghostbusters." Court documents unsealed in 2024 showed Meta repurposed Onavo's VPN to intercept and decrypt rivals' encrypted traffic, targeting Snapchat, YouTube and Amazon. Apple pulled the app in 2018 and Meta shut it in 2019. The filings described the conduct as criminal. Tiger has not spoken publicly about his role, and Glow's launch does not mention it. The irony is hard to miss. Onavo watched and reported in secret. Glow promises to control what runs on a device and keep the risk out in the open. A billion before revenue The valuation is striking for a company that has disclosed no revenue. Glow has named no customers beyond broad sectors: healthcare, retail and financial services. It joins a run of AI-security startups that crossed the billion-dollar mark before proving a business, a pattern familiar from the Israeli cyber scene that produced Wiz. Several of Glow's backers funded Wiz too. Its rivals are entrenched. CrowdStrike, Microsoft and SentinelOne dominate the endpoint, and they built their empires on detection. The open question is whether enterprises will trust an AI agent to block software on its own, with no human in the loop. For a founder whose last act eroded exactly that kind of trust, it is a fitting test.

AI-native endpoint security startup Glow is born a unicorn after raising $180M

Glow Security Inc. said today it's exiting stealth mode today as an instant unicorn after closing on a massive $180 million Series A funding. The round catapults the startup's valuation to a stunning $1.2 billion right out of the gate. Venture capital firms Sequoia, Cyberstarts, Greenoaks and Redpoint Ventures co-led the round, which also saw the participation of Index Ventures, Lux Capital, Swish Ventures and Holly Ventures. The funds will enable Glow to expand Glow Labs, its dedicated research organization, launch its first products and accelerate its go-to-market operations. Glow said it's trying to fix what is fast becoming a major crisis for enterprise security teams. It's trying to address the massive explosion of artificial intelligence applications, tools and systems running on corporate endpoints, which has created an unprecedented cybersecurity challenge. As businesses eagerly embrace AI chatbots, assistants and autonomous agents and use them to perform increasing amounts of work, they're leaving themselves exposed to all kinds of risks. The problem is that their security teams simply can't keep up, and have no way to vet all of these AI tools fast enough. The startup offers a single, but compelling, datapoint to back up its claims, saying that regular AI usage on corporate devices has increased from 15% to more than 45% in less than a year. Glow believes that this explosive rate of adoption is leaving organizations at the mercy of an entirely new class of endpoint risks that they're totally unprepared for. Their existing endpoint security tools were never designed for AI, as they're more focused on reacting to threats when they pop up. But with cyberattackers now having access to powerful AI tools themselves, they can create systems that can potentially discover vulnerabilities and design ways to exploit them almost instantly. "AI has created an entirely new attack surface that security teams are just beginning to understand," Glow Chief Operating Officer Emily Heath told SiliconANGLE. "AI has changed how technology enters the enterprise in ways we haven't seen before, because employees can now start using new tools and connecting agents, plugins and packages to company data much faster than traditional approval process were designed to handle." Heath said enterprises face three broad categories of risk that simply didn't exist before. These include the threat of "shadow AI," which is when employees use personal or free AI tools that live outside of corporate governance controls, leaving to uncertainty over where sensitive data might be stored and how it might be used. A second major risk pertains to the configuration of AI systems. Though most AI applications do have security controls such as permission settings, execution restrictions and isolation features, most organizations lack a way to manage them consistently at scale across thousands of endpoints. "There's also the connected ecosystem risk," Heath revealed. "Modern AI tools rarely operate alone, connecting to plugins, packages, MCP servers and other services to expand what they can access and do, and this ecosystem is evolving faster than what most security teams can track manually." A new approach to endpoint security There are so many risks surrounding AI that in the event something goes wrong, most businesses probably won't even know what hit them. And this is precisely why a new kind of endpoint security operating model is so badly needed, Heath said. Instead of being reactive, security teams must become proactive and shut down threats before they're ever identified and exploited. This is where Glow comes in. It has created an AI-native endpoint security platform that's designed for proactive risk prevention. It gives security teams full control over everything that executes on corporate endpoints by deploying specialized AI agents that continuously map their environments and analyze risk in real time. The startup's co-founder and Chief Executive Roi Tiger stressed that prevention has always been the best way to secure endpoints, but it hasn't really been possible before. "Prevention never worked at enterprise scale without blocking the business," he explained. "But AI solves that. The moment we saw what AI made possible, we knew the endpoint could finally be protected in the way it always should have been." Rather than wait for a threat to emerge, Glow relies on its advanced reasoning engine to automatically enforce security policies across every endpoint. The agents proactively decide which applications and tools should be allowed to run on an endpoint, and which should be shut down. What's especially important is the speed at which its agents operate. According to Heath, they're able to make these complex decisions at lightning speed, so they don't slow down employees' work or disrupt business processes. Heath explained that the secret to this speed is the lightweight design of its AI agents. Rather than run on the endpoint itself, which would likely impact the performance of user's devices, they instead run on Glow's centralized servers. "Endpoint data is pulled into Glow, where all of the analysis, reasoning and policy decisions are made by over a hundred different specialized agents," she explained. "That architecture minimizes the impact on end-user devices." It also helps address the plague of false positives that is prevalent on legacy endpoint security tools, Heath said. She explained that the problem with legacy tools is that they tend to evaluate individual events in isolation, because they lack broader context of the endpoint's history. Glow's agents work differently, she said, creating a continuously updated understanding of the endpoint, the software running on it, the owner of the devices, the people who use it, what programs they're using, how they're using those tools and the other devices and services it's connected to. This information is stored in Glow's cloud and enriched with external intelligence about the reputation of software vendors, known risks and user's and organization's privacy practices. "We also reconcile the data from multiple enterprise systems into a single view," Heath said. "Because our agent's decisions are based on that broader context rather than a single signal or rule, Glow can make much more informed recommendations and reduce the false positives that have historically made prevention so difficult." Glow said its platform has been a big hit with early adopters in industries spanning retail, healthcare and financial services. The confidence of Glow's impressive roster of backers is primarily a testament to the pedigree of its founders and executive team. Tiger's co-founders include Chief Technology Officer Omer Singer and Vice President of Research and Development Ophir Arie. Singer is the former head of cybersecurity strategy at Snowflake Inc., while Arie previously served in the same role at Claroty Inc. As for Tiger, he spent nine years at Meta Platforms Inc., most recently serving as its vice president of engineering, prior to starting Glow. Other top executives include Chief Product Officer Arnon Joseph, who is a former senior director of product at Meta and a two-time founder himself, and Heath, who previously served as the chief information security officer at United Airlines Inc. and DocuSign Inc., and also sat on the board of Wiz Inc. prior to its acquisition by Google LLC. "I sat in the CISO seat for a long time, and I can tell you that the tools available to us were never built for what enterprises face today," Heath said. "There is now an entirely new class of risk to manage."

Israeli AI cyber startup Glow launches with $180m funding at $1.2b valuation

Glow leadership Omer Singer (CTO), Emily Heath (COO), Roi Tiger (CEO), Ophir Arie (VP of R&D) and Arnon Joseph (CPO). Israeli cybersecurity startup Glow emerged from stealth on Wednesday with $180 million in funding at a $1.2 billion valuation, launching an AI-powered platform designed to prevent security threats from reaching corporate devices. Glow focuses on endpoint security, which protects the laptops, desktop computers, and other devices through which employees connect to corporate systems. The platform uses specialized AI agents to continuously map an organization's digital environment, analyze risks in real time, and automatically enforce security policies. The system determines which software should be permitted and which should be removed, seeking to prevent threats before they enter an organization. The company was founded in 2025 by CEO Roi Tiger, who previously worked at Meta; CTO Omer Singer, formerly head of cybersecurity strategy at Snowflake; and vice president of research and development Ophir Arie, who previously held the same role at Israeli cybersecurity company Claroty. Glow's leadership team also includes chief product officer Arnon Joseph, who spent eight years at Meta, and chief operating officer Emily Heath. Glow is already signing clients, addressing security threats Heath previously served as chief information security officer at United Airlines and DocuSign and was a partner at Cyberstarts. She was also a member of Wiz's board of directors through its acquisition by Google. Glow said it had already signed enterprise customers in the healthcare, retail, and financial services sectors. The company said these customers were using its platform to adopt AI technology while strengthening, rather than weakening, their security systems. "I sat in the CISO seat for a long time, and I can tell you the tools available to us were never built for what enterprises face today," Heath said. "Every enterprise wants to move faster with AI. The question isn't whether they'll adopt it; it's whether security can keep up. That's the challenge Glow is solving." The company argues that the rapid adoption of AI tools has transformed devices, such as computers and desktops, into an increasingly significant security vulnerability, as employees introduce new applications and AI agents into the workplace faster than security teams can examine and authorize them. Verizon's 2026 Data Breach Investigations Report found that regular use of AI tools on corporate devices, whether authorized or not, had risen from 15% to 45% in a single year. Glow receives $180 million in funding The funding was led by Sequoia Capital, Cyberstarts, Greenoaks and Redpoint Ventures, with participation from Index Ventures, Swish Ventures, Lux Capital and Holly Ventures. Glow plans to use the funding to expand its go-to-market team in the United States and grow Glow Labs, the company's research division. The launch further highlights the outsized importance of cybersecurity to Israel's technology sector and the country's position as a global cyber power. Israel had more than 500 active cybersecurity companies in 2024. Although those companies represented only 7% of the Israeli technology ecosystem, they attracted 38% of all tech investment, according to Startup Nation Central. Israeli cybersecurity companies raised an additional $4.1 billion in 2025, with a median funding round size of $20 million. The sector has also produced two of the largest deals in Israeli technology history: Google's $32 billion acquisition of Wiz and Palo Alto Networks' $25 billion acquisition of CyberArk.