Glow Breaks Cover with $1.2B Valuation, Set to Disrupt Endpoint Security in the Age of AI

Glow, a new cybersecurity startup founded by former executives from Meta and Snowflake, has emerged from behind the scenes as a unicorn, focusing on the impact of artificial intelligence on enterprise security for employee devices.

Based in Palo Alto, the company announced on Wednesday that it secured $180 million in an all-equity Series A funding round, achieving a valuation of $1.2 billion. The round attracted investments from Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, along with support from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. This funding marks Glow as one of the newest cybersecurity firms to reach unicorn status prior to revealing any revenue information.

With more businesses adopting AI tools and cybercriminals increasingly leveraging generative AI to automate phishing, create malware, and execute sophisticated attacks, organizations are revisiting their strategies for securing endpoints, which include employee laptops, servers, and other connected devices. This need for reevaluation has grown, especially after Anthropic previewed its Mythos AI model—known for its advanced ability to identify and exploit software vulnerabilities—sparking discussions about AI-driven cyber threats. Glow is positioning itself to address the need for a fresh approach to endpoint security amidst these changes.

Established in 2025, Glow is developing an endpoint security platform that enables enterprises to monitor and manage the software, AI agents, and development tools operating on employee devices. The platform reportedly uses specialized AI agents to continually map enterprise settings, assess risks in real-time, and enforce security measures.

“In the last decade, the trend shifted toward cloud-based solutions and SaaS. Now, AI is infiltrating endpoints in unprecedented ways,” co-founder and CEO Roi Tiger noted during an interview.

Tiger, who previously worked as vice president of engineering at Meta, co-founded Glow with Omer Singer, former head of cybersecurity strategy at Snowflake; Ophir Arie, former vice president of research and development at Claroty; and Arnon Joseph, a former engineering leader at Meta. The leadership team also features Emily Heath as COO, who has an extensive background as the chief information security officer at United Airlines and DocuSign and participated in Wiz’s $32 billion acquisition by Google, in addition to being a former partner at Cyberstarts.

Although Glow just came out of stealth mode, the company reports that it already has paying clients from sectors such as healthcare, retail, and financial services, though it chose not to disclose specific names or numbers. According to Tiger, typical deployments comprise tens of thousands of employee devices across international organizations.

To fuel its platform, Glow integrates AI models from Anthropic and Google’s Gemini via Amazon Bedrock while also creating its own software to provide enterprise context and enhance the reliability of these models for security use cases, as Tiger explained to TechCrunch.

The platform has reportedly blocked harmful npm packages—third-party software components used in application development—from being installed in client environments, identified AI agents trying to introduce such software, and pinpointed employee devices lacking endpoint detection and response tools or operating below optimal functionality.

Glow enters a competitive endpoint security market dominated by established firms such as CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. According to Tiger, traditional endpoint detection and response products tend to focus on identifying threats post-emergence, while Glow aims to prevent potentially dangerous software, AI agents, and development tools from infiltrating enterprise environments in the first place.

The startup has a workforce of nearly 100, with approximately 70% based in Israel and the rest in the U.S. Whether AI-focused endpoint security platforms will evolve into a distinct category remains uncertain, as businesses are just beginning to navigate the security challenges posed by increasingly advanced AI models.