Shinea cybersecurity startup founded by former Meta and Snowflake executives has emerged from stealth as a unicorn, betting that artificial intelligence will reshape how businesses protect employees’ devices.
The Palo Alto-based startup announced Wednesday that it raised $180 million in an all-equity Series A funding round that valued it at $1.2 billion, backed by Sequoia Capital, Cyberstarts, Greenoaks and Redpoint Ventures, along with participation from Index Ventures, Lush Ventures, Holly Ventures, and Operator. The investment made Glow one of the latest cybersecurity startups to achieve unicorn status before publicly disclosing revenue metrics.
As more businesses deploy AI tools and attackers increasingly use genetic 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. Concerns have intensified since Anthropic unveiled its Mythos AI model, which the company said demonstrated advanced capabilities in detecting and exploiting software vulnerabilities, sparking a broader debate about AI-assisted 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 control software, AI agents, and developer tools running on employee devices. The startup said the platform uses specialized AI agents to continuously map business environments, assess real-time risk and enforce security policies.
“If you think about the last decade, everything was going to the cloud and SaaS. All of a sudden, AI is landing on the endpoint in a way we’ve never seen,” co-founder and CEO Roi Tiger (pictured above, center) said in an interview.
Tiger, a former VP of engineering at Meta, co-founded Glow with former Snowflake chief cyber security strategist Omer Singer (pictured above, left), former Claroty VP of research and development Ophir Arie (pictured above right) and former Meta engineering leader Arnon Joseph. The startup’s leadership team also includes CEO Emily Heath, a former chief information security officer at United Airlines and DocuSign who served on Wiz’s board through its $32 billion Google acquisition and was previously a Cyberstarts partner.
Despite just emerging from stealth, Glow said it already has paying customers across industries, including healthcare, retail and financial services. However, he declined to reveal customer names and numbers. The startup’s typical deployments, Tiger said, cover tens of thousands of employee devices in global organizations.
To power the platform, Glow uses AI models from Anthropic and Google’s Gemini through Amazon Bedrock, while building its own software to provide the models with enterprise context and improve their reliability for security tasks, Tiger told TechCrunch.
Glow’s platform, Tiger said, has already prevented the installation of malicious npm packages, third-party software components used to build applications, in customer environments, detected AI agents trying to attract such software, and detected employee devices where they were missing or running with reduced functionality.
Glow enters a crowded endpoint security market dominated by the likes of CrowdStrike, Microsoft, SentinelOne and Palo Alto Networks. Tiger said existing endpoint detection and response products focus primarily on detecting threats after they emerge, while Glow is designed to prevent malicious software, AI agents and developer tools from entering enterprise environments in the first place.
The startup employs nearly 100 people, about 70% of whom are in Israel and the rest in the U.S. Whether AI-native endpoint security platforms will become a distinct category remains to be seen as businesses are just beginning to grapple with the security implications of increasingly capable AI models.
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