Pomegra
Israeli endpoint security startup Glow emerged from stealth on July 22, 2026 with $180 million in Series A funding at a $1.2 billion valuation, backed by Sequoia, Cyberstarts, Greenoaks, and Redpoint.
Key Takeaways
- Glow raised $180M at a $1.2B valuation - unicorn status on day one of public existence
- Sequoia, Cyberstarts, Greenoaks, and Redpoint led the round; Index Ventures, Lux Capital, and others joined
- Platform deploys AI agents to monitor corporate endpoints where employee-used AI tools now run
Lead
Glow, an AI-native endpoint security company founded in 2025 and headquartered in Tel Aviv, came out of stealth on July 22, 2026 with $180 million in Series A funding and a $1.2 billion valuation. The round was led by Sequoia, Cyberstarts, Greenoaks, and Redpoint Ventures, with Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures also participating. The company launched with a commercial product already in market - rare for a firm of this vintage entering at unicorn pricing.
What Does Glow Actually Do?
Glow builds an endpoint security platform designed around the assumption that corporate devices now run AI agents alongside human workers. Its platform deploys its own specialized AI agents to continuously map an organization's digital environment, identify risk in real time, and enforce security policies automatically. The practical problem it addresses: when employees run AI coding assistants, autonomous agents, or third-party developer tools on company laptops, traditional endpoint detection and response products offer little visibility into what those tools are doing or what data they can access.
The platform targets IT and security teams at enterprises facing a specific gap - the existing stack of EDR and mobile device management tools was built for a world where software behaved predictably and humans controlled the keyboard. That assumption is now outdated. Glow's bet is that the endpoint itself has to be reconceived when an AI agent on a developer's machine can autonomously read files, call APIs, and exfiltrate data without a human decision in the chain.
Why Did Investors Price This at $1.2 Billion Before Public Launch?
The valuation reflects the founding team as much as the product. CEO Roi Tiger spent nine years at Meta, finishing as VP of Engineering. CTO Omer Singer was Head of Cybersecurity Strategy at Snowflake. VP of R&D Ophir Arie previously held the same title at Claroty, an industrial security firm that itself reached a multi-billion-dollar valuation. The executive bench extends to Chief Product Officer Arnon Joseph, a former senior director of product at Meta, and Chief Strategy Officer Emily Heath, who served as CISO at both United Airlines and DocuSign.
That combination - infrastructure-scale engineering experience, security strategy depth, and enterprise go-to-market credibility - is what Series A investors at this price are actually buying. The endpoint security market has entrenched incumbents in CrowdStrike and SentinelOne, both of whom have been extending their own AI capabilities aggressively. A $1.2 billion entry valuation tells investors they expect Glow to find a wedge where those platforms are slow to move, specifically the AI agent attack surface.
How Does Glow Fit Into the Broader Endpoint Security Market?
The timing is not accidental. Enterprise adoption of AI coding tools, autonomous agents, and AI-assisted workflows accelerated sharply in 2025 and 2026, and most security teams have no structured answer to how those tools are governed on endpoints. Glow is positioning itself in that gap - not as a replacement for EDR, but as a layer above it that specifically handles AI agent governance, software inventory, and developer tool risk.
The competitive risk is obvious: CrowdStrike and SentinelOne are both sufficiently capitalized and motivated to ship directly into this category. Whether Glow can establish customer relationships and product differentiation before those incumbents catch up is the central question. The company has indicated that Glow Labs, its internal research arm, will be a key source of differentiation - developing proprietary detection and analysis methods for AI-generated activity on endpoints.
Glow will deploy a significant portion of the $180 million toward US go-to-market expansion, a clear signal that initial commercial traction is the immediate priority over additional research.
Outlook
Glow enters the market with an unusually strong balance sheet, a credible founding team, and a product thesis that addresses a real and underserved problem. The next test is customer conversion at scale, against incumbents that are well-funded and watching. The $1.2 billion valuation sets a high bar for the next round - Glow will need to show that AI agent security is a durable category, not a feature that gets absorbed into existing platforms within 18 months.
