Glow, a cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth as a unicorn, making a wager that man made intelligence is reshaping how enterprises bag worker devices.
The Palo Alto-headquartered startup on Wednesday stated it raised $180 million in an all-equity Series A funding spherical that valued it at $1.2 billion, with backing from Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, alongside participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. The funding made Glow surely one of many newest cybersecurity startups to assemble unicorn station sooner than publicly disclosing earnings metrics.
As extra enterprises deploy AI instruments and attackers increasingly exhaust generative AI to automate phishing, assemble malware, and inaugurate extra sophisticated cyberattacks, firms are rethinking how they bag endpoints — from worker laptops to servers and different connected devices. Considerations like intensified since Anthropic unveiled its Mythos AI model, which the company stated demonstrated superior capabilities in figuring out and exploiting software program vulnerabilities, prompting broader debate over AI-assisted cyberattacks. Glow is making a wager that this shift requires a brand new methodology to endpoint security.
Founded in 2025, Glow is building an endpoint security platform that helps enterprises video show and control the software program, AI brokers, and developer instruments running on worker devices. The startup stated the platform uses specialized AI brokers to consistently arrangement endeavor environments, assess threat in exact time, and put in power security policies.
“If you happen to recall to mind the previous decade, all the pieces became difficult to the cloud and SaaS. With out be conscious, AI lands on the endpoint in a formulation we’ve by no arrangement viewed,” co-founder and chief executive Roi Tiger (pictured above, center) stated in an interview.
Tiger, a former Meta vp of engineering, co-founded Glow alongside former Snowflake cybersecurity plan head Omer Singer (pictured above, left), former Claroty vp of learn and construction Ophir Arie (pictured above, ethical), and former Meta engineering leader Arnon Joseph. The startup’s leadership crew also contains chief working officer Emily Heath, a former chief files security officer at United Airlines and Docusign who served on the board of Wiz by arrangement of its $32 billion acquisition by Google and became previously a accomplice at Cyberstarts.
Even though it has simplest staunch emerged from stealth, Glow stated it already has paying clients across industries at the side of healthcare, retail, and monetary products and providers. Nonetheless, it declined to grunt customer names and numbers. The startup’s frequent deployments, Tiger stated, span tens of hundreds of worker devices across worldwide organizations.
To vitality the platform, Glow uses AI devices from Anthropic and Google’s Gemini by arrangement of Amazon Bedrock, while building its own software program to kind the devices with endeavor context and strengthen their reliability for security initiatives, Tiger informed TechCrunch.
Glow’s platform, Tiger stated, has already averted malicious npm packages, third-occasion software program parts used to assemble functions, from being set in in customer environments, recognized AI brokers trying to pull in such software program, and detected worker devices where endpoint detection and response instruments like been missing or working with diminished functionality.
Glow enters a crowded endpoint security market dominated by firms at the side of CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger stated existing endpoint detection and response merchandise focal point basically on detecting threats after they emerge, whereas Glow is designed to end unhealthy software program, AI brokers, and developer instruments from coming into endeavor environments in the first station.
The startup employs in relation to 100 other folks, about 70% of whom are in Israel and the rest in the U.S. Whether or now no longer AI-native endpoint security platforms become a obvious category remains to be viewed, as enterprises are simplest initiating to grapple with the safety implications of increasingly succesful AI devices.
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Jagmeet covers startups, tech coverage-connected updates, and all different most predominant tech-centric trends from India for TechCrunch. He previously worked as a main correspondent at NDTV.
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