Glow emerges from stealth at $1.2B for AI endpoint security
Glow emerges from stealth as a $1.2 billion cybersecurity unicorn after raising $180 million in Series A funding. The Palo Alto startup, founded by former Meta and Snowflake executives, is building an AI-native endpoint security platform aimed at monitoring software, AI agents, and developer tools on employee devices before risky code enters enterprise environments.
Key Takeaways
- Glow raised $180 million in an all-equity Series A at a $1.2 billion valuation.
- Backers include Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures.
- The platform monitors software, AI agents, and developer tools on employee endpoints.
- Leadership includes former Meta, Snowflake, Claroty, and airline CISO veterans.
- Glow says it already has paying customers in healthcare, retail, and financial services.
What just happened with Glow's stealth exit?
According to TechCrunch, Glow disclosed a $180 million Series A that values the company at $1.2 billion. Lead-style backing came from Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, with Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures also participating.
Founded in 2025 and based in Palo Alto, Glow is one of the latest cybersecurity startups to hit unicorn status before publicly disclosing revenue metrics. That check size signals strong conviction that AI is rewriting how enterprises secure devices.
Why does Glow matter for enterprise AI security?
As companies deploy AI tools, attackers are also using generative AI to automate phishing, develop malware, and run more sophisticated campaigns. Glow is betting that shift requires a new approach to endpoints—from employee laptops to servers and other connected devices.
The startup said its platform uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies. Co-founder and CEO Roi Tiger, a former Meta VP of engineering, argued that AI is landing on the endpoint in a way enterprises have not seen before.
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How does Glow differ from CrowdStrike and other incumbents?
Glow enters a crowded market dominated by CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger said existing endpoint detection and response products mainly catch threats after they emerge, while Glow aims to keep risky software, AI agents, and developer tools from entering environments in the first place.
The company told TechCrunch its 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 weakened. It uses Anthropic and Google Gemini models via Amazon Bedrock, plus its own software for enterprise context.
Tiger co-founded Glow with Omer Singer, Ophir Arie, and Arnon Joseph. COO Emily Heath is a former United Airlines and Docusign CISO. Glow employs nearly 100 people—about 70% in Israel—and says typical deployments span tens of thousands of devices, though it declined to name customers or share revenue figures.