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-based startup raised $180 million in an all-equity Series A funding round at a $1.2 billion valuation, with backing from Sequoia Capital, Cyberstarts, Greenoaks, Redpoint Ventures, Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. The investment made Glow one of the latest cybersecurity startups to achieve unicorn status without publicly disclosing revenue metrics.

As enterprises deploy more AI tools and attackers use generative AI to automate phishing, develop malware, and launch sophisticated attacks, companies are rethinking endpoint security. Concerns have intensified since Anthropic unveiled its Mythos AI model, which demonstrated advanced capabilities in identifying and exploiting software vulnerabilities. Glow is building an endpoint security platform that uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies. The platform monitors and controls the software, AI agents, and developer tools running on employee devices.

Co-founder and CEO Roi Tiger, a former Meta vice president of engineering, said: “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.” He co-founded the startup alongside former Snowflake cybersecurity strategy head Omer Singer, former Claroty R&D VP Ophir Arie, and former Meta engineering leader Arnon Joseph. COO Emily Heath, a former CISO at United Airlines and DocuSign, served on Wiz’s board through its $32 billion acquisition by Google and was previously a partner at Cyberstarts.

Despite being in stealth until now, Glow already has paying customers across healthcare, retail, and financial services. It declined to disclose customer names and numbers, but said typical deployments span tens of thousands of employee devices across global organizations. To power the platform, Glow uses AI models from Anthropic and Google’s Gemini through Amazon Bedrock, while building its own software to provide the models with enterprise context and improve reliability for security tasks. Glow’s platform has already prevented malicious npm packages from being installed, identified AI agents attempting to pull in such software, and detected devices where endpoint detection and response (EDR) tools were missing or operating with reduced functionality.

Glow enters a crowded endpoint security market dominated by CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger said existing EDR products 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, about 70% of whom are in Israel and the remainder in the U.S.

Whether AI-native endpoint security platforms become a distinct category remains to be seen, as enterprises are only beginning to grapple with the security implications of increasingly capable AI models.