Key facts
- Glow, a cybersecurity startup, has emerged from stealth.
- The company raised $180 million in Series A funding at a $1.2 billion valuation.
- Glow's platform uses AI agents to monitor and control software and AI tools on employee devices.
- The startup was founded by former executives from Meta, Snowflake, and other tech companies.
- Glow aims to address new security challenges posed by AI in the enterprise.
Glow, a cybersecurity startup founded by former Meta and Snowflake executives, has emerged from stealth with a $1.2 billion valuation after raising $180 million in Series A funding. The company is positioning itself to address the evolving endpoint security challenges in the era of artificial intelligence, where attackers are increasingly leveraging generative AI for sophisticated cyberattacks.
Glow's platform is designed to continuously map enterprise environments, assess risks in real-time, and enforce security policies by monitoring and controlling software, AI agents, and developer tools on employee devices. The startup leverages AI models from Anthropic and Google's Gemini, accessed through Amazon Bedrock, while also developing its own software to provide enterprise context and enhance reliability for security tasks.
Founded in 2025, Glow's leadership team includes co-founders Roi Tiger (former Meta VP of engineering) and Omer Singer (former Snowflake cybersecurity strategy head), alongside Ophir Arie and Arnon Joseph. Emily Heath, COO, brings experience as a former CISO at United Airlines and DocuSign. The company claims to have paying customers across healthcare, retail, and financial services, with typical deployments covering tens of thousands of devices.
Glow's platform has reportedly prevented malicious software installations and detected issues with existing endpoint detection and response tools. The startup enters a crowded market dominated by companies like CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks, differentiating itself by focusing on preventing risky software and AI agents from entering environments, rather than solely detecting threats after they emerge.
