The company’s platform relies on specialized AI agents to map enterprise environments, assess real-time risks, and enforce security policies across employee devices. By integrating models from Anthropic and Google’s Gemini via Amazon Bedrock, Glow positions itself as a preventive layer. Chief Executive Roi Tiger emphasizes that while traditional endpoint detection systems react to threats, Glow focuses on blocking risky software, unauthorized AI agents, and malicious developer tools before they integrate into a network.
Glow Secures $1.2 Billion Valuation to Automate Endpoint Security
Palo Alto-based startup Glow has emerged from stealth with a $180 million Series A funding round, hitting a $1.2 billion valuation. Founded by former Meta and Snowflake executives, the company aims to overhaul enterprise endpoint security as AI tools and automated cyber threats redefine corporate risk profiles.
Despite its recent debut, the startup has already secured paying clients in healthcare, retail, and finance, with deployments reaching tens of thousands of devices. The leadership team includes veterans from Meta, Snowflake, and Claroty, alongside former DocuSign CISO Emily Heath. With a workforce of nearly 100 people split between Israel and the U.S., the company now prepares to compete against established industry giants like CrowdStrike, Microsoft, and SentinelOne.
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