Glow Emerges From Stealth as $1.2 Billion AI Cybersecurity Unicorn

Glow Emerges From Stealth as $1.2 Billion AI Cybersecurity Unicorn

Glow emerged from stealth today after announcing a $180 million all-equity Series A that values the endpoint security startup at $1.2 billion. The funding round, led by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, makes the Palo Alto-based company a unicorn before it has publicly disclosed any revenue metrics. Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures also participated in the financing.

Founded in 2025, Glow is building an endpoint security platform designed for workplaces where AI agents increasingly operate alongside human employees. Rather than focusing solely on threats after they appear, the company says its platform continuously monitors enterprise devices with AI agents, evaluates risk in real time, and enforces security policies before software, developer tools, or AI agents are installed.

Glow was founded by a team with senior cybersecurity and engineering backgrounds. Chief executive Roi Tiger previously served as a vice president of engineering at Meta. Co-founder Omer Singer led cybersecurity strategy at Snowflake, while Ophir Arie previously oversaw research and development at Claroty. Co-founder Arnon Joseph also held an engineering leadership role at Meta. Chief operating officer Emily Heath was chief information security officer at United Airlines and DocuSign, served on the board of Wiz through its acquisition by Google, and was previously a partner at Cyberstarts.

The company's approach reflects its view that enterprise endpoints have evolved beyond traditional software environments. Employee devices now run AI coding assistants, autonomous agents, developer tools, and open-source packages that can be introduced on demand, creating a broader attack surface than earlier generations of endpoint security products were designed to protect.

Glow is entering a market already dominated by CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger told TechCrunch that existing endpoint detection and response platforms are primarily designed to identify threats after they have entered an environment, while Glow is built to stop risky software, AI agents, and developer tools before they are introduced onto enterprise devices.

The startup said it already has paying customers across the healthcare, retail, and financial services sectors, although it declined to identify those customers or disclose how many it serves. According to Tiger, typical deployments cover tens of thousands of employee devices, indicating the platform is already being used across large enterprise environments.

Glow's platform is built on Anthropic's Claude and Google's Gemini models through Amazon Bedrock, with the company adding its own software to provide enterprise-specific context and improve reliability for security workloads. Tiger said the platform has blocked malicious npm packages from being installed, detected AI agents attempting to introduce those packages, and identified employee devices where endpoint detection and response software was either missing or operating with reduced functionality.

The company employs nearly 100 people, with roughly 70% of its workforce based in Israel and the remainder in the United States. Glow said the all-equity financing provides capital to expand its team and grow its business following its public debut.

This analysis is based on reporting from TechCrunch & Globe Newswire.

Image courtesy of Glow.

This article was generated with AI assistance and reviewed for accuracy and quality.

Last updated: July 22, 2026

About this article: This article was generated with AI assistance and reviewed by our editorial team to ensure it follows our editorial standards for accuracy and independence. We maintain strict fact-checking protocols and cite all sources.

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