Glow raises $180M at $1.2B valuation for AI-era endpoint security

Glow, a cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth as a unicorn, betting that artificial intelligence is reshaping how enterprises secure employee devices.

The Palo Alto-headquartered startup said Wednesday it raised $180 million in an all-equity Series A round that valued it at $1.2 billion, with backing from Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, alongside participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. The round made Glow one of the latest cybersecurity startups to reach unicorn status before publicly disclosing revenue metrics.

As more enterprises deploy AI tools and attackers increasingly use generative AI to automate phishing, develop malware, and launch more sophisticated attacks, companies are rethinking how they secure endpoints — from employee laptops to servers and other connected devices. Concerns have intensified since Anthropic unveiled its Mythos AI model, which the company said demonstrated advanced capabilities in identifying and exploiting software vulnerabilities, feeding a broader debate over AI-assisted cyberattacks. Glow is betting that this shift demands a new approach to endpoint security.

Founded in 2025, Glow is building a platform that helps enterprises monitor and control the software, AI agents, and developer tools running on employee devices, using specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies. “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,” co-founder and CEO Roi Tiger told TechCrunch. Tiger, a former Meta vice president of engineering, co-founded Glow with former Snowflake cybersecurity strategy head Omer Singer and two other co-founders; the leadership team also includes COO Emily Heath, a former chief information security officer at United Airlines and Docusign.

Even fresh out of stealth, Glow already has paying customers across healthcare, retail, and financial services, though it declined to disclose names or numbers. Typical deployments, Tiger said, span tens of thousands of employee devices across global organizations, using AI models from Anthropic and Google’s Gemini through Amazon Bedrock, with Glow’s own software layered on for enterprise context and reliability. The platform has already blocked malicious npm packages from installing, flagged AI agents pulling in such software, and detected devices with missing or degraded endpoint detection and response tools, Tiger said. Glow enters a crowded market dominated by CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks; where those products focus mainly on detecting threats after they emerge, Tiger said, Glow is designed to keep risky software, agents, and tools from entering enterprise environments in the first place. The startup employs nearly 100 people, about 70% in Israel and the rest in the U.S.

Why it matters

Whether AI-native endpoint security becomes its own category remains to be seen, but Glow’s unicorn valuation — reached before it disclosed any revenue — shows investors betting big that AI has changed what securing a device means, even as enterprises are only beginning to grapple with what increasingly capable AI models mean for their defenses.