Glow, a cybersecurity startup launched by former executives from Meta and Snowflake, has come out of stealth as a unicorn, betting that artificial intelligence is fundamentally changing how companies protect employee devices. The Palo Alto-based company announced Wednesday that it raised $180 million in an all-equity Series A funding round, giving it a valuation of $1.2 billion. The round was supported by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, with additional participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. This investment makes Glow one of the latest cybersecurity startups to reach unicorn status without first disclosing revenue figures.

As more businesses adopt AI tools and attackers leverage generative AI to automate phishing, create malware, and launch more sophisticated cyberattacks, companies are rethinking how they secure endpoints—from employee laptops to servers and other connected devices. Concerns have escalated since Anthropic unveiled its Mythos AI model, which the company said demonstrated advanced abilities in identifying and exploiting software vulnerabilities, sparking wider debate about AI-assisted cyberattacks. Glow is betting that this shift demands a fresh approach to endpoint security.

Founded in 2025, Glow is developing an endpoint security platform that helps businesses monitor and control the software, AI agents, and developer tools operating on employee devices. The startup says the platform uses 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," said co-founder and CEO Roi Tiger in an interview. Tiger, a former Meta vice president of engineering, founded Glow alongside former Snowflake cybersecurity strategy head Omer Singer, former Claroty vice president of research and development Ophir Arie, and former Meta engineering leader Arnon Joseph.

The startup's leadership also includes chief operating officer Emily Heath, a former chief information security officer at United Airlines and DocuSign who served on the board of Wiz through its $32 billion acquisition by Google and was previously a partner at Cyberstarts.

Despite only recently emerging from stealth, Glow says it already has paying customers across industries such as healthcare, retail, and financial services, though it declined to disclose customer names or numbers. Tiger noted that typical deployments cover tens of thousands of employee devices across global organizations. According to Tiger, Glow's platform has already prevented malicious npm packages and third-party software components used to build applications from being installed in customer environments, identified AI agents attempting to pull in such software, and detected employee devices where endpoint detection and response tools were missing or operating with reduced functionality.

Glow enters a crowded endpoint security market dominated by companies like CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger said existing endpoint detection and response products primarily focus on detecting threats after they emerge, whereas Glow is designed to prevent risky software, AI agents, and developer tools from entering enterprise environments in the first place. The startup employs nearly 100 people, with about 70% based in Israel and the rest in the U.S.

Whether AI-native endpoint security platforms will become a distinct category remains uncertain, as companies are only beginning to address the security implications of increasingly capable AI models.