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AI

Glow emerges from stealth with $1.2B valuation, $180M funding for AI-first endpoint security

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The cybersecurity startup, founded by former Meta and Snowflake executives, secured a $1.2 billion valuation in an all-equity Series A round led by Sequoia, Cyberstarts, Greenoaks, and Redpoint, betting that AI-driven threats require a prevention-first approach to securing employee devices.

Glow, a cybersecurity startup founded in 2025 by former Meta and Snowflake executives, emerged from stealth Wednesday with $180 million in Series A funding at a $1.2 billion valuation, joining a wave of AI-security companies that have reached unicorn status before publicly disclosing revenue.

The Palo Alto and Tel Aviv-based company is building an endpoint security platform that uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies. The goal is to prevent risky software, AI agents, and developer tools from entering employee devices, rather than detecting threats after they emerge.

The round was led by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, with participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. Glow employs nearly 100 people, about 70% in Israel and the rest in the U.S.

The team

Glow was founded by Roi Tiger, a former Meta vice president of engineering who spent nine years at the company; Omer Singer, former head of cybersecurity strategy at Snowflake; and Ophir Arie, former vice president of R&D at Claroty. Chief product officer Arnon Joseph was a senior director of product at Meta for eight years. Chief operating officer Emily Heath served as CISO at United Airlines and DocuSign, was a board member of Wiz through its $32 billion acquisition by Google, and was a partner at Cyberstarts.

The AI shift

The startup argues that the rise of AI on corporate devices has fundamentally changed the endpoint security landscape. According to Glow, regular usage of AI on corporate devices, authorized or not, has jumped from 15% to 45% in a single year. Security teams, the company says, should assume attackers have access to advanced AI capabilities, such as Anthropic's Mythos model, which the company demonstrated can identify and exploit software vulnerabilities.

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

The platform

Glow's platform uses AI models from Anthropic and Google's Gemini through Amazon Bedrock, layered with its own reasoning engine to provide enterprise context and improve reliability. The system is designed to block unapproved software before it is installed, rather than reacting after the fact.

The company said it already has paying customers in healthcare, retail, and financial services, though it declined to name them. Typical deployments span tens of thousands of employee devices across global organizations. Glow said the platform has prevented malicious npm packages from being installed, identified AI agents attempting to pull in such software, and detected devices where endpoint detection and response tools were missing or operating with reduced functionality.

Founder's past

Tiger's background includes a controversial chapter that may complicate customer trust, according to a report by The Next Web. Tiger co-founded Onavo, a data-analytics app that Meta acquired in 2013. Court documents unsealed in 2024 showed Meta repurposed Onavo's VPN to intercept and decrypt rivals' encrypted traffic, targeting Snapchat, YouTube, and Amazon, in a program described as "Project Ghostbusters." The filings described the conduct as criminal, the outlet reported. Glow's launch materials do not mention Onavo.

Market context

Glow enters a crowded endpoint security market dominated by 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 from entering in the first place.

The startup's valuation is notable for a company that has disclosed no revenue metrics. It joins a string of AI-security startups, many from the Israeli cyber ecosystem, that have crossed the billion-dollar mark before proving a business model. Several of Glow's investors also backed Wiz.

Next steps

The funding will be used to accelerate the growth of the go-to-market team in the United States and expand Glow Labs, the company's research arm. Glow plans to showcase its solution at the Black Hat USA Conference in Las Vegas from August 3 to 5.

Whether enterprises will trust an AI agent to autonomously block software on employee devices remains an open question, particularly given the founder's past. For Glow, the challenge is as much about credibility as it is about technology.

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Acerca de Daniel Pryce

Technology & Innovation Reporter. Covers technology companies, venture funding, and the software and security issues that affect financial institutions and markets. He reports on product launches, funding rounds, and cyber incidents with market relevance. Startups and established tech firms both appear on his beat.

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