Cybersecurity startup Glow has exited stealth with a $180 million Series A funding round, immediately achieving unicorn status at a $1.2 billion valuation. The round is backed by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, with participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures.
Notably, Glow has not disclosed public revenue metrics – a pattern increasingly common among young cybersecurity startups where valuations rest on market potential and team pedigree rather than proven traction.
Quick Facts
- Founded 2025 by former leaders from Meta and Snowflake – CEO Roi Tiger was VP of Engineering at Meta; co-founder Omer Singer led Cybersecurity Strategy at Snowflake
- Funding: $180M Series A, $1.2B valuation – unicorn without disclosed revenue
- Focus: Endpoint security for the AI agent era – monitoring and controlling software, AI agents, and developer tools on employee devices
- Early customers already in place across Healthcare, Retail, and Financial Services; typical deployments span tens of thousands of devices per organization
The Problem: Endpoint Security in the AI Era
While the past decade was dominated by cloud and SaaS migration, enterprises now face a new shock: AI agents and developer tools are landing massively on endpoints – laptops, servers, connected devices. This fundamentally reshapes the threat landscape.
"If you think of the past decade, everything was moving to the cloud and SaaS. Suddenly, AI lands on the endpoint in a way we've never seen," says CEO Roi Tiger.
Simultaneously, attackers themselves leverage generative AI to automate phishing, develop malware, and launch more sophisticated cyberattacks. Particularly concerning: Anthropic unveiled its Mythos AI model, which the company says demonstrated advanced capabilities in identifying and exploiting software vulnerabilities – a signal that AI-assisted cyberattacks are becoming real.
Glow's Approach: AI Agents as Security Guardians
Glow's platform deploys specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies. The startup uses models from Anthropic and Google Gemini (via Amazon Bedrock), but combines them with proprietary software to provide models with enterprise context and improve their reliability for security tasks.
In practice, Glow's platform has already:
- Blocked malicious npm packages (third-party software components) before installation
- Detected AI agents attempting to pull in such packages
- Identified devices where endpoint detection and response tools were missing or operating with reduced functionality
The Team Behind Glow
Beyond CEO Roi Tiger (Meta) and co-founder Omer Singer (Snowflake), the founding team includes Ophir Arie (former VP of R&D at Claroty) and Arnon Joseph (former engineering leader at Meta). COO Emily Heath brings CISO experience from United Airlines and DocuSign, and served on the board of Wiz during its $32 billion acquisition by Google.
What This Means for Enterprise Security
For mid-market and large enterprises globally, endpoint security in the AI context is rapidly becoming a compliance and risk imperative. When AI agents run on employee devices – whether for development, automation, or support – a new attack surface emerges that traditional endpoint solutions often miss. Glow's approach signals the market sees a genuine gap. Whether enterprises adopt specialized tools like Glow or established players like CrowdStrike adapt will become clear in coming months.
Sources
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