Cybersecurity startup Glow emerged from stealth on Wednesday (July 22) with unicorn status, raising $180 million in a Series A round at a $1.2 billion valuation — before publicly disclosing any revenue metrics. Founded by former executives from Meta, Snowflake, and Claroty, Glow is betting that artificial intelligence is fundamentally reshaping enterprise endpoint security.
Headquartered in Palo Alto with about 100 employees (70% in Israel, 30% in the U.S.), Glow has built a platform that uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies. Instead of merely detecting threats after they materialize — as CrowdStrike, SentinelOne, and Microsoft Defender do — Glow takes a prevention-first approach: stopping risky software, AI agents, and developer tools before they ever enter the corporate environment.
"If you think of the past decade, everything was moving to the cloud and SaaS. Suddenly, AI lands on the endpoint in a way we've never seen," said Roi Tiger, co-founder and CEO of Glow, a former Meta vice president of engineering.
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. The leadership team also includes Emily Heath (COO), a former CISO at United Airlines and Docusign who served on Wiz's board through its multi-billion-dollar acquisition by Google.
The market context makes the bet particularly relevant. With the advancement of models like Anthropic's Mythos — which demonstrated advanced capabilities in identifying and exploiting software vulnerabilities — the threat landscape has shifted. Autonomous AI agents now execute actions on behalf of users, rendering the traditional model of static permissions and reactive monitoring obsolete.
Glow already has paying customers across healthcare, retail, and financial services, with typical deployments spanning tens of thousands of devices. The platform uses AI models from Anthropic and Google's Gemini via Amazon Bedrock, while building proprietary software to provide enterprise context to the models.
Glow's real challenge will be convincing the market that endpoint security needs an entirely new category — not just an additional layer on top of existing solutions. With $180 million in the bank and a heavyweight team, the startup certainly has the resources to try. But CrowdStrike, Microsoft, and SentinelOne won't cede ground without a fight.
Source: TechCrunch
