Glow stepped out of stealth on Wednesday, revealing a $180 million all‑equity Series A that pushes its valuation to $1.2 billion. The funding round drew support from Sequoia Capital, Cyberstarts, Greenoaks, Redpoint Ventures and a slate of other investors, making the Palo Alto‑headquartered startup a unicorn before it disclosed any revenue figures.

Founded in 2025 by former Meta vice president of engineering Roi Tiger, former Snowflake cybersecurity strategist Omer Singer, former Claroty R&D leader Ophir Arie and ex‑Meta engineering manager Arnon Joseph, Glow targets a market that is rapidly feeling the impact of generative AI. As enterprises embed AI tools into daily workflows, attackers are using the same technology to automate phishing, craft malware and hunt for software vulnerabilities. The company’s co‑founder and CEO, Tiger, said the shift demands a new kind of endpoint security—one that stops risky software, AI agents and developer tools before they reach corporate devices.

Glow’s platform relies on AI models from Anthropic and Google’s Gemini, accessed through Amazon Bedrock, while the startup builds proprietary software to give those models enterprise context. According to Tiger, the system continuously maps an organization’s environment, evaluates risk in real time and enforces policies that block malicious npm packages, flag AI agents attempting to pull in unsafe code, and identify devices missing or operating with reduced endpoint detection and response (EDR) capabilities.

The company already counts paying customers across healthcare, retail and financial services, though it declined to name specific firms or disclose deployment numbers. Typical installations span tens of thousands of devices worldwide, with a workforce of nearly 100 employees—about 70 % based in Israel and the remainder in the United States.

Glow enters a crowded field dominated by established players such as CrowdStrike, Microsoft, SentinelOne and Palo Alto Networks. Tiger argues that most existing EDR solutions focus on detecting threats after they appear, whereas Glow’s AI‑native approach is designed to prevent threats from entering the endpoint ecosystem in the first place.

The funding round not only supplies the capital to scale the platform but also signals strong investor confidence in AI‑centric security solutions. With venture firms like Index Ventures, Swish Ventures, Lux Capital, Operator Collective and Holly Ventures joining the round, Glow joins a growing list of AI‑focused cybersecurity startups that have achieved unicorn status in record time.

This article was written with the assistance of AI.
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