Glow lands at $1.2B with $180M to secure AI-era endpoints

Glow has emerged from stealth with a $180 million all-equity Series A that values the cybersecurity startup at $1.2 billion, making it one of the latest security companies to reach unicorn status before disclosing revenue.

The Palo Alto-headquartered company is betting that AI is changing endpoint security fast, as enterprises roll out new AI tools and attackers use generative AI for phishing, malware development, and more advanced cyberattacks. Concern around that shift has grown since Anthropic unveiled its Mythos model, which the company said showed advanced ability to identify and exploit software vulnerabilities.

Founded in 2025, Glow is building an endpoint security platform aimed at helping enterprises monitor and control the software, AI agents, and developer tools running on employee devices. The company says its platform uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies.

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“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.”

Glow was founded by Roi Tiger, a former Meta vice president of engineering; Omer Singer, former head of cybersecurity strategy at Snowflake; Ophir Arie, former vice president of research and development at Claroty; and former Meta engineering leader Arnon Joseph. Its leadership team also includes COO Emily Heath, the former CISO 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.

Backers in the round include Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, with participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures.

Glow says it already has paying customers in healthcare, retail, and financial services, though it declined to name them or say how many it has. According to Tiger, typical deployments span tens of thousands of employee devices at global organizations.

To run the platform, Glow uses models from Anthropic and Google Gemini through Amazon Bedrock, while adding its own software layer to give those models enterprise context and improve reliability for security tasks. Tiger told TechCrunch the product has already:

• blocked malicious npm packages from being installed
• identified AI agents attempting to pull in those packages
• detected devices where endpoint detection and response tools were missing or running with reduced functionality

Crowded endpoint security market

Glow is entering a market already dominated by CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger said those products are largely focused on detecting threats after they appear, while Glow is trying to stop risky software, AI agents, and developer tools before they get inside enterprise environments.

The startup employs nearly 100 people. About 70% are in Israel, with the rest in the U.S.