Glow emerged from stealth this week with a $180 million Series A at a $1.2 billion valuation, backed by Sequoia Capital, Cyberstarts, Greenoaks and Redpoint Ventures -- another cybersecurity startup reaching unicorn status before disclosing a single public revenue figure. The company was founded by Roi Tiger, a former Meta vice president of engineering; Omer Singer, former head of cybersecurity strategy at Snowflake; Ophir Arie, former VP of R&D at industrial-security firm Claroty; and Arnon Joseph, another former Meta engineering leader.
Glow's premise is that endpoint security -- protecting laptops, servers and other connected devices -- was built for a threat model that no longer matches reality. Enterprises are increasingly running AI agents directly on employee devices, and attackers are using generative AI to automate phishing campaigns, write malware variants, and orchestrate more sophisticated attacks at a speed and scale legacy endpoint detection tools weren't designed to catch.
“Investors underwriting a $1.2 billion valuation without disclosed revenue are, again, betting on operators as much as on product.”
The founding team's pedigree is doing real work in this round: Tiger and Joseph both built engineering organizations at Meta's scale, Singer ran security strategy at one of the most consequential enterprise data platforms of the last decade, and Arie's industrial-security background at Claroty adds operational-technology credibility. Investors underwriting a $1.2 billion valuation without disclosed revenue are, again, betting on operators as much as on product.
The launch lands in an unusually dense week for AI-native security funding: Neo raised $100 million to secure agentic software the same week, and Empirical Security closed a $25 million round for predictive vulnerability management. Together they reinforce a theme gathering real momentum -- "AI securing AI" pulling investor attention decisively away from generic "AI-powered" security marketing.
What to watch: whether Glow ships a public product and discloses real customer traction to justify the pre-revenue unicorn mark, and whether legacy endpoint incumbents like CrowdStrike respond by acquiring into this specific sub-category rather than building competing features in-house.