Glow exits stealth as a $1.2B unicorn betting on AI-era endpoint security
Backed by Sequoia and Cyberstarts, Glow raised $180 million to build an endpoint security platform that watches the AI agents running on employee devices.
In Brief
- Glow raised $180 million in an all-equity Series A at a $1.2 billion valuation, becoming a unicorn before disclosing revenue.
- The startup, founded in 2025 by ex-Meta, Snowflake, and Claroty executives, monitors software, AI agents, and dev tools on endpoints.
- Backers include Sequoia, Cyberstarts, Greenoaks, and Redpoint—a bet that AI use is rewriting endpoint risk.
Glow didn’t creep into the market—it arrived as a unicorn. The endpoint security startup said Wednesday it raised $180 million in a Series A that valued it at $1.2 billion, with Sequoia, Cyberstarts, Greenoaks, and Redpoint co-leading the round.
That valuation landed before Glow published revenue metrics, a sign investors are pricing the problem, not the traction. The company was founded in 2025 by executives from Meta, Snowflake, and Claroty, and is led by CEO Roi Tiger—a team with both consumer-scale and industrial-security pedigree.
The pitch is timing. As Calcalistech reports, Glow argues AI has fundamentally changed the endpoint: corporate devices are now where employees bolt on new AI tools, connect autonomous agents, and wire in software faster than security teams can evaluate any of it.
What Glow’s endpoint security platform does
Glow is building a platform that helps enterprises monitor and control everything running on employee devices—software, AI agents, and developer tools alike. Its specialized AI agents continuously map the environment, assess risk, and enforce what’s allowed to execute.
The funding will accelerate U.S. go-to-market hiring and expand Glow Labs, the research arm, according to the company’s own announcement. The framing is “prevention-first” rather than the reactive detection legacy endpoint tools are known for.
The trigger for the rethink is generative AI itself. Attackers now use AI to automate phishing, craft malware, and run more sophisticated intrusions, which raises the stakes for anything sitting on a laptop or server inside a corporate network.
Why AI agents changed the endpoint
Traditional endpoint security assumed a manageable cast of approved apps. That assumption broke the moment employees started granting AI agents the ability to read files, send messages, and act on their behalf. Each agent is a new, fast-moving piece of attack surface.
Glow’s core argument is that security teams need control over everything that executes on the endpoint, not just the installed software they already approved. Get that wrong and an agent—or the prompt feeding it—becomes the weakest link in the network.
It’s a crowded market, but the investor lineup suggests conviction that AI-era endpoints need a purpose-built answer. As enterprise security teams absorb autonomous tools, prevention—not just detection—is the pitch buyers are being asked to pay unicorn prices for.
FAQ
How much did Glow raise?
$180 million in a Series A that valued the company at $1.2 billion, led by Sequoia, Cyberstarts, Greenoaks, and Redpoint.
Who founded Glow?
Former executives from Meta, Snowflake, and Claroty launched it in 2025; CEO Roi Tiger leads the company.
What problem does it solve?
Corporate devices now run employee-added AI tools and agents faster than security teams can vet them, expanding the attack surface.
