Glow, a cybersecurity startup based by former Meta and Snowflake executives, has emerged from stealth as a unicorn, satisfied that synthetic intelligence is reshaping the best way corporations shield worker gadgets.
The Palo Alto-based startup introduced Wednesday that it has raised $180 million in an all-stock Collection A funding spherical valued at $1.2 billion, backed by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, with participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. This funding makes Glow one of many newest cybersecurity startups to realize unicorn standing earlier than releasing income metrics.
As extra corporations deploy AI instruments and attackers more and more use generated AI to automate phishing, develop malware, and launch extra subtle cyberattacks, corporations are rethinking how they shield endpoints, from worker laptops to servers and different linked gadgets. Considerations have intensified since Anthropic introduced its Mythos AI mannequin, which the corporate says has demonstrated superior capabilities for figuring out and exploiting software program vulnerabilities, sparking a broader dialogue about AI-powered cyberattacks. At Glow, we consider this transformation requires a brand new strategy to endpoint safety.
Based in 2025, Glow builds an endpoint safety platform that allows enterprises to observe and management the software program, AI brokers, and developer instruments operating on worker gadgets. In keeping with the corporate, the platform makes use of specialised AI brokers to repeatedly map enterprise environments, assess dangers and implement safety insurance policies in real-time.
“For those who look again on the final 10 years, every thing was shifting to the cloud and SaaS, and immediately AI was reaching the endpoint in a manner we had by no means seen earlier than,” co-founder and CEO Roy Tiger (pictured above, heart) stated in an interview.
Tiger, a former Meta vice chairman of engineering, co-founded Glow with former Snowflake head of cybersecurity technique Omar Singer (pictured above, left), former Claroti vice chairman of analysis and growth Ofir Ali (pictured above, proper), and former Meta engineering lead Arnon Joseph. The startup’s management group additionally consists of chief working officer Emily Heath, who beforehand served as chief data safety officer at United Airways and DocuSign, served on the board of Wiz by Google’s $32 billion acquisition, and was beforehand a associate at CyberStarts.
Regardless of simply popping out of stealth, Develop stated it already has paying clients throughout industries together with healthcare, retail and monetary companies. Nonetheless, the corporate refused to reveal the client’s identify and quantity. Tiger stated the startup’s typical deployment spans tens of 1000’s of worker gadgets throughout a world group.
To energy the platform, Glow makes use of AI fashions from Anthropic and Google’s Gemini through Amazon Bedrock, whereas additionally constructing its personal software program to supply enterprise context to the fashions and enhance reliability of safety duties, Tiger instructed newsweblatest.
Tiger stated Glow’s platform has already stopped malicious npm packages (third-party software program elements used to construct functions) from being put in in buyer environments, recognized AI brokers making an attempt to ingest such software program, and detected worker gadgets that have been lacking or working in a degraded method with endpoint detection and response instruments.
Glow enters a crowded endpoint safety market dominated by corporations like CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger stated that whereas present endpoint detection and response merchandise primarily deal with detecting threats after they emerge, Glow is designed to stop dangerous software program, AI brokers, and developer instruments from coming into enterprise environments within the first place.
The startup has almost 100 workers, about 70% of whom are in Israel and the remainder in the US. It stays to be seen whether or not AI-native endpoint safety platforms will change into a definite class, as enterprises are simply starting to grapple with the safety implications of more and more succesful AI fashions.
For those who purchase by hyperlinks in our articles, we might earn a small fee. This doesn’t have an effect on editorial independence.
