Shinethe cybersecurity startup founded by former Meta and Snowflake executives has emerged from stealth as a unicorn, betting that artificial intelligence will reshape how enterprises protect employees’ devices.
On Wednesday, the Palo Alto-headquartered startup said it raised $180 million in a Series A funding round valued at $1.2 billion, backed by Sequoia Capital, Cyberstarts, Greenoaks and Redpoint Ventures, with participation from Index Ventures, Swish Ventures, Operax Ventures and Luxury Ventures. The investment made Glow one of the latest cybersecurity startups to achieve unicorn status before publicly disclosing revenue metrics.
As more enterprises deploy AI tools and attackers increasingly use generative AI to automate phishing, develop malware and launch more sophisticated cyberattacks, companies are rethinking how they protect endpoints, from employee laptops to servers and other connected devices. There are concerns strengthened from the anthropic year Mythos introduced the AI modelsaid the company has demonstrated advanced capabilities in identifying and exploiting software vulnerabilities, sparking a broader debate over AI-powered cyberattacks. Glow is betting that this change requires a new approach to endpoint security.
Founded in 2025, Glow builds an endpoint security platform that helps enterprises monitor and manage software, AI agents and developer tools running on employee devices. The platform uses specialized artificial intelligence agents to continuously map enterprise environments, assess risk in real-time and enforce security policies, the startup said.
“If you think about the last decade, everything has moved to the cloud and SaaS. All of a sudden AI is coming down to the bottom line in a way we’ve never seen,” co-founder and CEO Roi Tiger (above, center) said in an interview.
Tiger, former vice president of engineering at Meta, co-founded Glow with Omer Singer (above, left), former head of cybersecurity strategy at Snowflake, Ophir Arie (above, right), former vice president of research and development at Claroty, and Arnon Joseph, former head of engineering at Meta. The startup’s leadership team also includes former COO Emily Heath, who was COO at United Airlines and DocuSign, served on the board of Wiz through its $32 billion acquisition by Google, and was previously a partner at Cyberstarts.
Despite just coming out of stealth, Glow said it pays customers across industries including healthcare, retail and financial services. However, he refused to disclose the names and numbers of the customers. According to Tiger, the startup’s typical deployments involve tens of thousands of employee devices in global organizations.
To power the platform, Glow uses artificial intelligence models from Amazon’s Anthropic and Google’s Gemini to power the platform, while building its own software to provide the models with enterprise context and improve their reliability for security tasks, Tiger told TechCrunch.
According to Tiger, the Glow platform already prevents the installation of malicious npm packages, third-party software components used to build applications in client environments, identifies AI agents trying to attract such software, and detects worker devices with missing or reduced endpoint detection and response tools.
Glow is entering a crowded endpoint security market dominated by companies including CrowdStrike, Microsoft, SentinelOne and Palo Alto Networks. While existing endpoint detection and response products are primarily focused on detecting threats after they occur, Glow is designed to prevent risky software, AI agents and developer tools from entering enterprise environments in the first place, Tiger said.
The startup has about 100 employees, about 70% of whom are based in Israel and the rest in the United States. As enterprises begin to grapple with the security implications of increasingly capable AI models, it remains to be seen whether AI-based endpoint security platforms will evolve into a distinct category.
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