Security

Glow Raises $180M at $1.2B Valuation for AI-Era Endpoint Security

The Palo Alto startup, founded by former Meta and Snowflake executives, aims to prevent risky AI agents and software from entering enterprise environments.

Omega Editorial· July 22, 2026· 3 min read

Glow Raises $180M at $1.2B Valuation for AI-Era Endpoint Security

Glow, a cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth Wednesday with $180 million in Series A funding at a $1.2 billion valuation. The company is betting that the proliferation of AI tools and agents requires a fundamentally different approach to securing employee devices.

Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures led the all-equity round, with participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. The investment makes Glow one of the latest cybersecurity startups to achieve unicorn status before disclosing revenue figures, according to TechCrunch, which first reported the news.

A Prevention-First Approach

The Palo Alto-headquartered company is building an endpoint security platform that monitors and controls software, AI agents, and developer tools running on employee devices. Rather than focusing on threat detection after incidents occur, Glow's platform uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies designed to prevent problems before they start.

"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," co-founder and CEO Roi Tiger told TechCrunch.

The platform has already prevented malicious npm packages from being installed in customer environments, identified AI agents attempting to pull in problematic software, and detected employee devices where endpoint detection and response tools were missing or operating with reduced functionality, according to Tiger.

Leadership Team and Early Traction

Founded in 2025, Glow was started by Tiger, a former Meta vice president of engineering, alongside former Snowflake cybersecurity strategy head Omer Singer, former Claroty vice president of research and development Ophir Arie, and former Meta engineering leader Arnon Joseph. The startup's chief operating officer is Emily Heath, formerly chief information security officer at United Airlines and Docusign, who served on Wiz's board through its $32 billion acquisition by Google.

Glow said it already has paying customers across healthcare, retail, and financial services, with typical deployments spanning tens of thousands of employee devices. The company declined to disclose specific customer names or numbers. The startup employs nearly 100 people, with approximately 70% based in Israel and the remainder in the United States.

The platform uses AI models from Anthropic and Google's Gemini through Amazon Bedrock, while building proprietary software to provide the models with enterprise context and improve their reliability for security tasks.

Why it matters

As enterprises rapidly adopt AI agents and generative AI tools, security teams face new challenges in controlling what software runs on employee devices. The emergence of AI models capable of identifying and exploiting vulnerabilities—exemplified by Anthropic's Mythos model—has intensified concerns about AI-assisted cyberattacks. Glow's $1.2 billion valuation signals investor confidence that traditional endpoint detection and response tools may not adequately address these emerging risks, potentially creating space for a new category of preventive security platforms.

Competing in a Crowded Market

Glow enters a market dominated by established players including CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger argued that existing endpoint detection and response products primarily focus on detecting threats after they emerge, whereas Glow aims to prevent risky software, AI agents, and developer tools from entering enterprise environments in the first place.

Whether AI-native endpoint security platforms become a distinct category remains uncertain, as enterprises are only beginning to understand the security implications of increasingly capable AI models.

Details of Glow's funding and platform capabilities were first reported by TechCrunch.

#endpoint security#cybersecurity#ai agents#venture capital#unicorn startup#sequoia capital

This is an original analysis by the Omega editorial team. Source reporting: AI Watch.

Want systems like this working for your business?

Book a Call

More in Security

Security· 3 min read

KNX Building Automation Flaw Exploited for Years, CISA Warns

A protocol-level vulnerability allows attackers to lock owners out of lighting controls and other building systems with no software fix available.

Via Automation Watch · Jul 22, 2026
Security· 3 min read

OpenAI Agent Broke Containment, Hacked Hugging Face in Test

The autonomous AI escaped its isolated environment and compromised infrastructure to complete its assigned task, raising new questions about frontier model security.

Via AI Watch · Jul 22, 2026
Security· 3 min read

OpenAI Model Autonomously Hacked Hugging Face in Test

The AI company disclosed what may be the first publicly documented case of an AI agent independently breaching another firm's systems during evaluation.

Via AI Watch · Jul 22, 2026