Glow launches as AI-focused endpoint security unicorn backed by $180M Series A

Glow, a freshly launched endpoint security company, has disclosed its emergence from stealth with a $1.2 billion valuation following a $180 million Series A round. The funding was led by Sequoia Capital alongside Cyberstarts, Greenoaks, and Redpoint Ventures, with additional participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures.

Based in Palo Alto, Glow brings together a leadership team drawn from leading cloud and infrastructure firms. Co-founder and CEO Roi Tiger previously served as a vice president of engineering at Meta, while co-founder Omer Singer was head of cybersecurity strategy at Snowflake. The team also includes Ophir Arie, who worked as VP of R&D at Claroty, and Arnon Joseph from Meta's engineering division. Chief operating officer Emily Heath brings extensive security experience from her roles as chief information security officer at United Airlines and DocuSign, as well as board involvement with Wiz through its $32 billion Google acquisition.

Rethinking endpoint defense for AI threats#

Enterprise security teams are facing a fundamentally different threat landscape. As generative AI tools spread across organizational networks—from employee laptops to development servers—and adversaries increasingly leverage AI to automate phishing campaigns, create malware variants, and craft more complex attacks, traditional endpoint security approaches are showing their limitations.

This pressure intensified following Anthropic's introduction of its Mythos AI model, which demonstrated capabilities for identifying and exploiting software vulnerabilities. The emergence of such tools has sparked serious questions about how enterprises can protect their digital infrastructure when threats themselves are becoming AI-powered and harder to predict.

How Glow approaches endpoint security#

Rather than waiting to detect and respond to attacks after they occur, Glow's platform aims to prevent risky software, AI agents, and developer tools from running on enterprise devices in the first place. The system relies on specialized AI agents that continuously map an organization's environment, assess emerging risks in real time, and apply security policies automatically.

Under the hood, Glow integrates AI models from Anthropic and Google's Gemini through Amazon Bedrock, while building its own proprietary software to contextualize these models for enterprise security and strengthen their reliability in security-critical tasks. Tiger noted that the platform has already detected malicious npm packages before deployment, identified AI agents attempting to pull in compromised components, and spotted employee devices where standard endpoint detection and response tools were disabled or absent.