Glow Raises $180M to Secure AI Agents on Endpoints

A cybersecurity startup just skipped the usual slow climb to unicorn status entirely, launching straight out of stealth mode already worth $1.2 billion. Glow, an AI-powered endpoint security company based in Tel Aviv, emerged from stealth with $180 million in Series A funding, according to SecurityWeek's reporting on the launch. The round was led by Sequoia, Cyberstarts, Greenoaks, and Redpoint Ventures, with additional backing from Index Ventures, Lux Capital, and Swish Ventures.

Glow was founded in 2025 by CEO Roi Tiger, who spent nine years at Meta most recently as VP of engineering, CTO Omer Singer, formerly head of cybersecurity strategy at Snowflake, and VP of R&D Ophir Arie, previously VP of R&D at Claroty.

Glow's core argument is that the explosion of AI tools running directly on employee devices has fundamentally changed what endpoint security needs to defend against. Traditional endpoint security focused primarily on protecting servers, networks, and cloud services, but AI tools, autonomous agents, and new software are now entering organizations mainly through employees' personal work computers, according to Globes' reporting on the launch. Tiger estimated the addressable market at roughly $40 billion.

The platform uses specialized AI agents that continuously map an organization's environment, security policies, and employee usage patterns, then automatically determine which AI software and tools can operate safely and which pose enough risk to be blocked or removed, according to TechCrunch's coverage of the launch. Glow describes this as a prevention-first approach, aiming to stop risky AI activity before it happens rather than reacting after a breach, a distinction worth understanding alongside our what are AI agents guide on how autonomous AI systems operate differently from traditional software.

Despite launching from stealth this week, Glow isn't starting from zero. The company said it already works with dozens of enterprises, including Fortune 500 companies across healthcare, retail, and financial services, with some as active paying customers and others in the implementation stage, according to SiliconANGLE's reporting on the raise. The funding will accelerate the growth of Glow's go-to-market team in the United States and expand Glow Labs, the company's dedicated research arm.

Tiger, a veteran of Israel's cybersecurity industry as co-founder of Onavo, framed his ambitions for the company in long-term terms rather than a quick exit: "We want to build a major company that will lead a large market over time, and not just another one-off solution," he told Globes.

In my four years in sales at a research and advisory firm, I heard directly from CMOs and CEOs about what they wanted from AI, and increasingly the conversation shifted from "how do we adopt AI faster" to "how do we adopt AI without losing control of our own environment." Glow's rapid unicorn status and existing Fortune 500 customer base reflects exactly that shift. Companies are realizing that employees adopting AI tools independently, often without IT's knowledge, creates genuine security exposure that traditional endpoint tools were never designed to catch.

For businesses without a clear policy on what AI tools employees can install and use on company devices, Glow's traction is a useful signal that this gap is now considered a serious, fundable security category, not a hypothetical concern.

Glow, an AI-powered endpoint security startup, emerged from stealth with $180 million in Series A funding at a $1.2 billion valuation. The company uses AI agents to continuously monitor employee devices and automatically block risky AI tools before they cause harm. Glow already works with Fortune 500 companies across healthcare, retail, and financial services, addressing what its founders estimate is a $40 billion market.