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

Glow Achieves Unicorn Status With $180M Series A Funding

Glow, a cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth on Wednesday as a unicorn, announcing $180 million in Series A funding that valued the company at $1.2 billion 1

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. Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures co-led the all-equity round, with participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures 1

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The Palo Alto-headquartered company joins a growing list of Israeli AI cyber startup ventures that have crossed the billion-dollar threshold before disclosing revenue metrics 2

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. Founded in 2025, Glow already has paying customers across healthcare, retail, and financial services sectors, though it declined to name specific clients or provide customer counts 1

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AI Endpoint Security Platform Tackles Exploding Attack Surface

Glow is building an AI-native endpoint security platform that addresses what chief operating officer Emily Heath calls "an entirely new attack surface that security teams are just beginning to understand" 3

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. The AI-powered platform uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies across employee laptops, servers, and other connected devices 1

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The urgency stems from a dramatic shift in how AI tools enter the workplace. Regular AI use on corporate devices has jumped from 15% to 45% in less than a year, according to Glow's data 2

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. This explosive adoption rate creates three major risk categories: shadow AI, where employees use personal or free AI tools outside corporate governance; misconfigured AI systems with inconsistent security controls; and connected ecosystem risks from plugins, packages, and services that expand faster than security teams can track 3

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Prevention Over Detection: A New Operating Model

CEO Roi Tiger, a former Meta vice president of engineering, argues that traditional endpoint detection and response products focus on identifying threats after they emerge, while Glow prevents risky software, AI agents, and developer tools from entering enterprise environments in the first place 1

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. "Prevention was always the right answer in security. It just never worked at enterprise scale without blocking the business," Tiger said. "AI solves that" 2

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The platform has already demonstrated its capabilities by preventing malicious npm packages from being installed in customer environments, identifying AI agents attempting to pull in problematic software, and detecting corporate devices where endpoint detection and response tools were missing or operating with reduced functionality . Glow's system runs on AI models from Anthropic and Google Gemini through Amazon Bedrock, layered with the company's own reasoning engine to provide enterprise context and improve reliability for security tasks 1

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Founder's Controversial Past Complicates Trust Equation

Tiger co-founded Glow alongside Omer Singer, former head of cybersecurity strategy at Snowflake, Ophir Arie, former vice president of research and development at Claroty, and Arnon Joseph, a former Meta engineering leader 1

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. But Tiger's history with Onavo, the data-analytics app Meta acquired in 2013, adds complexity to the company's pitch 2

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Court documents unsealed in 2024 revealed that Meta repurposed Onavo's VPN to intercept and decrypt rivals' encrypted traffic, targeting Snapchat, YouTube, and Amazon in what was called "Project Ghostbusters" 2

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. Apple pulled the app in 2018 and Meta shut it down in 2019. The irony is stark: Onavo watched and reported in secret, while Glow promises to control what runs on a device and keep risk visible 2

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. Tiger has not spoken publicly about his role in Onavo, and Glow's launch materials do not mention it 2

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Market Entry and Future Outlook

Glow enters a crowded market dominated by CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks 1

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. The company employs nearly 100 people, with approximately 70% based in Israel and the remainder in the United States 1

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. The startup plans to use its funding to expand Glow Labs, its dedicated research organization, launch its first products, and accelerate go-to-market operations 3

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The critical question facing Glow is whether enterprises will trust AI agents to block software autonomously, with no human in the loop 2

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. This challenge intensifies as concerns mount over AI-assisted cyberattacks, particularly since Anthropic unveiled its Mythos AI model, which demonstrated advanced capabilities in identifying and exploiting software vulnerabilities 1

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. Glow argues that teams should assume adversaries wield Mythos-class AI, able to exploit any overlooked gap at machine speed 2

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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 1

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. For a founder whose last venture eroded trust through surveillance, convincing enterprises to hand control to proactive security threats prevention represents a fitting test 2

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