Glow emerges from stealth at $1.2B; AI-native endpoint security for enterprise devices
<cite index="52-2">Glow, the AI-powered endpoint security company, emerged from stealth with $180 million in funding at a $1.2 billion valuation to redefine how enterprises secure the modern endpoint with a prevention-first approach. The round was led by Sequoia, Cyberstarts, Greenoaks, and Redpoint Ventures, with participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures.</cite> <cite index="52-2">Glow was founded by Roi Tiger, CEO, who spent nine years at Meta as VP of Engineering; CTO Omer Singer, formerly Snowflake's Head of Cybersecurity Strategy; and VP of R&D Ophir Arie, formerly VP R&D at Claroty.</cite> COO Emily Heath was previously CISO at United Airlines and Docusign.
<cite index="54-4">CEO Tiger argues the endpoint security market is fragmented with point solutions, and that he is targeting a $40 billion market dominated by CrowdStrike and SentinelOne. Glow's core argument is that AI has fundamentally changed the endpoint, as corporate devices have become the place where employees introduce new AI tools, connect AI agents and integrate new software into daily workflows, often faster than security teams can evaluate them.</cite> <cite index="54-5">Regular usage of AI tools on corporate devices, whether authorized or unauthorized, has increased from 15% to 45% in one year. Glow's platform uses specialized AI agents to continuously map an organization's endpoint environment, analyze risks and automatically enforce security policies.</cite>
<cite index="53-2">Glow is among the latest cybersecurity startups to achieve unicorn status before publicly disclosing revenue metrics.</cite> <cite index="53-3">Glow has already signed paying customers in healthcare, retail, and financial services, with typical deployments spanning tens of thousands of employee devices across global organizations.</cite> For practitioners, Glow positions itself as an AI-native challenger to legacy EDR vendors built for a pre-AI paradigm, relying on adaptive prevention rather than reactive detection. <cite index="59-3">Glow's metrics are self-reported from early customer interactions, and no independent benchmarks exist yet; the company is slated to attend Black Hat USA 2026.</cite> The thesis—that endpoint security must shift from detection to AI-powered prevention—is compelling, but unproven at scale against established vendors like CrowdStrike.
Sources
- Primary source
- techcrunch.com
“Glow, a cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth as a unicorn”
- globenewswire.com
“Regular usage of AI tools on corporate devices...has increased from 15% to 45% in one year”
- cryptobriefing.com
“Traditional EDR vendors like CrowdStrike, SentinelOne, and Microsoft Defender were built for a pre-AI paradigm...Glow's $180 million raise at a billion-dollar-plus valuation reflects the urgency the market is placing on the AI security problem”