Cybersecurity startup Glow emerges from stealth with $1.2 billion valuation
Founded by former Meta and Snowflake executives, Glow utilises models from Anthropic and Google to monitor enterprise devices, targeting a sector currently dominated by CrowdStrike and Microsoft.
Glow, a cybersecurity startup founded by former executives from Meta and Snowflake, has emerged from stealth with a $1.2 billion valuation following an $180 million Series A funding round. The all-equity investment round was backed by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, alongside participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. The Palo Alto-headquartered company now joins the ranks of unicorns in the cybersecurity sector, aiming to secure enterprise endpoints against risks posed by the rapid adoption of AI agents and developer tools.
The startup was established in 2025 and currently employs nearly 100 people, with approximately 70 per cent based in Israel and the remainder in the United States. The leadership team comprises co-founders Roi Tiger, former Meta vice president of engineering; Omer Singer, former Snowflake cybersecurity strategy head; Ophir Arie, former Claroty vice president of research and development; and Arnon Joseph, a former Meta engineering leader. Chief Operating Officer Emily Heath, a former chief information security officer at United Airlines and DocuSign, also joins the executive team.
Glow’s platform utilises AI models from Anthropic and Google’s Gemini, accessed via Amazon Bedrock, supplemented by the company’s own software to provide enterprise context. The system is designed to continuously map enterprise environments, assess risk in real time, and enforce security policies. According to the company, the 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 tools were missing or operating with reduced functionality.
The company reports having paying customers across healthcare, retail, and financial services sectors, with typical deployments spanning tens of thousands of employee devices. However, Glow declined to disclose specific customer names or revenue figures. Co-founder and chief executive Roi Tiger noted that the shift toward AI on the endpoint requires a new approach to security, distinct from the cloud and SaaS migrations of the previous decade.
Glow enters a crowded market currently dominated by firms such as CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger stated that existing endpoint detection and response products primarily focus on detecting threats after they emerge, whereas Glow is designed to prevent risky software and AI agents from entering enterprise environments in the first place. The startup’s emergence comes amid growing concerns over AI-assisted cyberattacks, particularly following the unveiling of Anthropic’s Mythos AI model, which demonstrated advanced capabilities in identifying and exploiting software vulnerabilities.
