GlowA cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth as a unicorn, betting that artificial intelligence is changing the way companies protect employee devices.
The Palo Alto-based startup said Wednesday it raised $180 million in an all-equity Series A funding round that valued it at $1.2 billion, with backing from Sequoia Capital, Cyberstarts, Greenoaks and Redpoint Ventures, along with participation from Index Ventures, Swish Ventures, Lux Capital, Operador Collective and Holly Ventures. The investment made Glow one of the last cybersecurity companies to achieve unicorn status before publicly disclosing revenue metrics.
As more companies deploy AI tools and attackers increasingly use generative AI to automate phishing, develop malware, and launch more sophisticated cyberattacks, companies are rethinking how to protect endpoints, from employee laptops to servers and other connected devices. The concerns have intensified from anthropic presented its Mythos AI modelwhich the company said demonstrated advanced capabilities to identify and exploit software vulnerabilities, sparking broader debate about AI-assisted cyberattacks. Glow is betting that this change requires a new approach to endpoint security.
Founded in 2025, Glow is building an endpoint security platform that helps companies monitor and control software, AI agents, and development tools running on employee devices. The startup said the platform uses specialized AI agents to continuously map enterprise environments, assess risks in real time, and enforce security policies.
“If you think about the last decade, everything was moving towards cloud and SaaS. All of a sudden, AI lands on the endpoint in a way we’ve never seen before,” co-founder and CEO Roi Tiger (pictured above, center) said in an interview.
Tiger, former VP of engineering at Meta, co-founded Glow alongside former Snowflake head of cybersecurity strategy Omer Singer (pictured above, left), former VP of research and development at Claroty Ophir Arie (pictured above, right), and former Meta engineering lead Arnon Joseph. The startup’s leadership team also includes COO Emily Heath, former chief information security officer at United Airlines and Docusign, who served on Wiz’s board during its $32 billion acquisition by Google and was previously a partner at Cyberstarts.
Although it just came out of stealth, Glow said it already has paying customers in industries including healthcare, retail and financial services. However, he refused to reveal the names and numbers of the clients. The startup’s typical deployments, Tiger said, span tens of thousands of employee devices at global organizations.
To power the platform, Glow uses AI models from Anthropic and Google’s Gemini through Amazon Bedrock, while creating its own software to provide the models with business context and improve their reliability for security tasks, Tiger told TechCrunch.
Glow’s platform, Tiger said, has already prevented malicious npm packages, third-party software components used to build applications, from being installed in customer environments, identified AI agents attempting to introduce such software, and detected employee devices where endpoint detection and response tools were missing or were operating with reduced functionality.
Glow enters a crowded endpoint security market dominated by companies such as CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger said existing endpoint detection and response products primarily focus on detecting threats after they arise, while Glow is designed to prevent risky software, AI agents and development tools from entering enterprise environments in the first place.
The startup employs nearly 100 people, about 70% of whom are in Israel and the rest in the US. It remains to be seen whether AI-native endpoint security platforms will become a distinct category, as companies are just beginning to grapple with the security implications of increasingly capable AI models.
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