Glow emerges from stealth at $1.2B valuation to challenge endpoint security in the AI era
Glow is targeting a new class of endpoint risks created by the rapid adoption of AI agents and developer tools inside enterprises. Glow , a cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth as a unicorn, betting that artificial intelligence is reshaping how enterprises secure employee devices. The Palo Alto-headquartered startup on Wednesday said it raised $180 million in an all-equity Series A funding round that valued it at $1.
Key Takeaways
- 2 billion, with backing from Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, alongside participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures.
The investment made Glow one of the latest cybersecurity startups to achieve unicorn status before publicly disclosing revenue metrics.
- Glow is betting that this shift requires a new approach to endpoint security.
Founded in 2025, Glow is building an endpoint security platform that helps enterprises monitor and control the software, AI agents, and developer tools running on employee devices.
- Suddenly, AI lands on the endpoint in a way we've never seen," co-founder and chief executive Roi Tiger (pictured above, center) said in an interview.
- However, it declined to disclose customer names and numbers.
The startup's typical deployments, Tiger said, span tens of thousands of employee devices across global organizations.
- Tiger said existing endpoint detection and response products focus primarily on detecting threats after they emerge, whereas Glow is designed to prevent risky software, AI agents, and developer tools from entering enterprise environments in the first place.
Stats & Key Facts
- #The Palo Alto-headquartered startup on Wednesday said 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, alongside participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures.
- #Founded in 2025, Glow is building an endpoint security platform that helps enterprises monitor and control the software, AI agents, and developer tools running on employee devices.
- #The startup's leadership team also includes chief operating officer Emily Heath, a former chief information security officer at United Airlines and Docusign who served on the board of Wiz through its $32 billion acquisition by Google and was previously a partner at Cyberstarts.
2 billion, with backing from Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, alongside participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. The investment made Glow one of the latest cybersecurity startups to achieve unicorn status before publicly disclosing revenue metrics. As more enterprises deploy AI tools and attackers increasingly use generative AI to automate phishing, develop malware, and launch more sophisticated cyberattacks, companies are rethinking how they secure endpoints - from employee laptops to servers and other connected devices.
Concerns have intensified since Anthropic unveiled its Mythos AI model , which the company said demonstrated advanced capabilities in identifying and exploiting software vulnerabilities, prompting broader debate over AI-assisted cyberattacks. Glow is betting that this shift requires a new approach to endpoint security. Founded in 2025, Glow is building an endpoint security platform that helps enterprises monitor and control the software, AI agents, and developer tools running on employee devices.
The startup said the platform uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies. "If you think of the past decade, everything was moving to the cloud and SaaS. Suddenly, AI lands on the endpoint in a way we've never seen," co-founder and chief executive Roi Tiger (pictured above, center) said in an interview.
For more details please read the original article at TechCrunch AI.
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