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Glow emerges from stealth with a $1.2 billion valuation to challenge endpoint security in the AI ​​era | TechCrunch

Julie Bort by Julie Bort
July 22, 2026
in General, Startup
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Shinea cybersecurity startup founded by former Meta and Snowflake executives, has emerged from stealth like a unicorn, betting that artificial intelligence is reshaping the way companies secure employee devices.

The Palo Alto-based startup announced Wednesday that it raised $180 million in an all-stock Series A funding round that valued it at $1.2 billion, with backing from Sequoia Capital, Cyberstarts, Greenoaks and Redpoint Ventures, as well as participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective and Holly Ventures. The investment made Glow one of the last cybersecurity startups to achieve unicorn status before publicly disclosing its revenue figures.

As more companies deploy AI tools and attackers increasingly use generative AI to automate phishing, develop malware, and launch more sophisticated cyberattacks, companies are rethinking how they secure endpoints, from employee laptops to servers and other connected devices. Concerns have intensified from Anthropic unveiled its Mythos AI modelwhich the company says has demonstrated advanced capabilities in identifying and exploiting software vulnerabilities, sparking broader debate about AI-assisted cyberattacks. Glow is betting that this change requires a new approach to endpoint security.

Founded in 2025, Glow creates an endpoint security platform that helps businesses 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 enterprise environments, assess risks in real time and enforce security policies.

“If you think about the last decade, everything has moved to the cloud and SaaS. Suddenly AI is landing on the endpoint in a way that we’ve never seen,” co-founder and CEO King Tiger (pictured above, center) said in an interview.

Tiger, Meta’s former VP of Engineering, co-founded Glow alongside former Snowflake Head of Cybersecurity Strategy 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 COO Emily Heath, former chief information security officer at United Airlines and DocuSign, who served on Wiz’s board of directors during its $32 billion acquisition by Google and was previously a partner at Cyberstarts.

Even though it’s only just emerging from stealth, Glow said it already has paying customers in industries such as healthcare, retail and financial services. However, he refused to release 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, identified AI agents attempting to extract such software, and detected employee devices where endpoint detection and response tools were missing or operating with reduced functionality.

Glow is entering a crowded endpoint security market, dominated by companies such as CrowdStrike, Microsoft, SentinelOne and Palo Alto Networks. Tiger said existing endpoint detection and response products primarily focus on detecting threats after they occur, while Glow is designed to prevent risky software, AI agents and developer tools from entering enterprise environments in the first place.

The startup employs nearly 100 people, around 70% of whom are in Israel and the rest in the United States. It remains to be seen whether AI-native endpoint security platforms will become a separate category, as businesses are only beginning to understand the security implications of increasingly capable AI models.

When you purchase through links in our articles, we may earn a small commission. This does not affect our editorial independence.

Jagmeet covers startups, technology policy updates and all other major technology developments in India for TechCrunch. He previously worked as a senior correspondent at NDTV.

You can contact or check Jagmeet’s outreach by sending an email mail@journalistjagmeet.com.

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Tags: AIcyberstartsGlowGreenoaks CapitalMetaredpoint venturesSecuritySequoia CapitalStartups
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