Israeli Cybersecurity Startup Glow Launches with $180M Unicorn Round

What happened

Glow emerged from stealth on July 22, 2026 with $180 million in all-equity Series A funding, achieving a post-money valuation of $1.2 billion. The round was led by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, with participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. Founded in February 2025 by former Meta VP of engineering Roi Tiger, former Snowflake cybersecurity head Omer Singer, former Claroty VP Ophir Arie, and former Meta engineering leader Arnon Joseph, Glow is building an endpoint security platform that uses specialised AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies. The company says it already has paying customers across healthcare, retail, and financial services, with deployments spanning tens of thousands of employee devices, though it has not disclosed customer names or revenue metrics. Glow employs nearly 100 people, with roughly 70% based in Israel and the remainder in the U.S.

Why it matters

For Palo Alto Networks and other endpoint security incumbents, Glow represents a well-funded, AI-native competitor targeting a rapidly evolving attack surface. As enterprises adopt AI tools - including coding assistants, productivity agents, and autonomous developer tools - the traditional endpoint detection and response (EDR) model is being challenged. Glow argues that legacy EDR platforms focus on detecting threats after they emerge, whereas its approach is designed to prevent risky software and AI agents from entering the environment in the first place. The company claims early success in blocking malicious npm packages, identifying AI agents attempting to pull in risky software, and detecting gaps in existing EDR coverage. The $180 million raise and $1.2 billion valuation signal that top-tier investors believe the AI-driven endpoint security market is large enough - and urgent enough - to support a new category leader. For Palo Alto Networks, this means heightened competition in a space where it already competes with CrowdStrike, Microsoft, and SentinelOne, and where customer expectations around AI-driven automation and policy enforcement are shifting rapidly.

Bigger picture

The endpoint security market is undergoing a structural shift driven by the proliferation of AI agents and autonomous software tools on employee devices. Research cited in the funding coverage indicates that 30% of AI agents in enterprise environments operate without adequate controls, while 67% of software in an average organisation remains completely unmonitored. Concerns have intensified following the unveiling of Anthropic's Mythos AI model, which demonstrated advanced capabilities in identifying and exploiting software vulnerabilities, prompting broader debate over AI-assisted cyberattacks. At the same time, attackers are increasingly using generative AI to automate phishing, develop malware, and launch more sophisticated campaigns. This convergence is creating a new layer of risk that traditional EDR vendors were not designed to address. Glow's emergence as a unicorn before disclosing revenue metrics reflects a broader pattern in venture capital: investors are concentrating capital into companies that can own a mission-critical workflow or control point in a market already under budget pressure. The round also highlights the growing investor appetite for AI-native security platforms that can autonomously enforce policies, remediate issues, and scale security operations without expanding headcount - capabilities that are becoming table stakes as enterprises grapple with accelerating AI adoption and increasingly capable threat actors.

What to watch

Investors and industry observers will be monitoring whether Glow can translate early customer traction into disclosed revenue metrics and publicly referenceable deployments. The company is scheduled to attend Black Hat USA 2026, which should provide the first major opportunity for the security community to pressure-test its technology and claims in a public setting. Another key signal will be whether Glow can displace or complement incumbents like CrowdStrike, Microsoft, and Palo Alto Networks in large enterprise accounts - or whether it becomes a niche layer that enterprises deploy alongside existing EDR tools. For Palo Alto Networks specifically, the competitive question is whether Glow's prevention-first, AI-native architecture resonates with enterprises in ways that force incumbents to accelerate their own AI capabilities or risk losing control of the policy and orchestration layer that Glow is targeting. Finally, the broader market will be watching whether AI-native endpoint security platforms become a distinct category or whether incumbents successfully integrate similar capabilities into their existing stacks, potentially limiting Glow's long-term differentiation and growth trajectory.