Glow Emerges from Stealth with $1.2B Valuation, $180M to Reinvent Endpoint Security for AI Era

Glow, a cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth on Wednesday, unveiling a $180 million all-equity Series A funding round that values the company at $1.2 billion. The Palo Alto-headquartered firm is betting that artificial intelligence is reshaping how enterprises secure employee devices, requiring a new approach to endpoint security.

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. The investment makes Glow one of the latest cybersecurity startups to achieve unicorn status before publicly disclosing revenue metrics — a pattern familiar from the Israeli cyber scene that produced Wiz, multiple of whose backers also funded Glow.

Founded in 2025 and split between Tel Aviv and Palo Alto, Glow employs nearly 100 people, about 70% of whom are in Israel and the remainder in the U.S. The startup said it already has paying customers across healthcare, retail, and financial services, though it declined to disclose customer names or numbers. Deployments typically span tens of thousands of employee devices, according to co-founder and chief executive Roi Tiger.

**Prevention-First Approach**

Glow’s core pitch inverts the traditional endpoint security model. Most existing tools, from companies like CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks, focus on detecting threats after they emerge. Glow aims to prevent risky software, AI agents, and developer tools from entering enterprise environments in the first place.

“Prevention was always the right answer in security. It just never worked at enterprise scale without blocking the business,” Tiger said in a statement. “AI solves that.”

The platform uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies automatically. It runs on AI models from Anthropic and Google’s Gemini through Amazon Bedrock, layered with Glow’s own context and reasoning engine to improve reliability for security tasks, according to the company.

Glow argues that the rise of AI on corporate devices has made the problem urgent. Regular usage of AI on corporate devices — authorized or not — has jumped from 15% to 45% in just one year, the company said. At the same time, attackers are gaining access to increasingly capable AI models. The startup’s threat model assumes adversaries wield so-called Mythos-class capabilities, a reference to Anthropic’s recently unveiled Mythos AI model, which the company said demonstrated advanced capabilities in identifying and exploiting software vulnerabilities, as reported by TechCrunch.

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

**Founder Background and Team**

Tiger, a former Meta vice president of engineering, co-founded Glow alongside Omer Singer, former Snowflake head of cybersecurity strategy; Ophir Arie, former vice president of research and development at Claroty; and former Meta engineering leader Arnon Joseph. Chief operating officer Emily Heath previously served as chief information security officer at United Airlines and DocuSign, was a member of the board of Wiz through its $32 billion acquisition by Google, and was a partner at Cyberstarts.

Tiger’s past includes co-founding Onavo, a data-analytics app Meta acquired in 2013 that he stayed at for nine years. According to The Next Web, Onavo became the basis of “Project Ghostbusters,” with court documents unsealed in 2024 showing Meta repurposed Onavo’s VPN to intercept and decrypt rivals’ encrypted traffic targeting Snapchat, YouTube, and Amazon. Apple pulled the app in 2018 and Meta shut it in 2019. Glow’s launch materials did not mention Onavo.

**Market Context and Spending Plans**

Glow enters a crowded endpoint security market, and the question of whether enterprises will trust an AI agent to block software without human oversight remains open. The funding will be used to accelerate growth of the go-to-market team in the United States and expand Glow Labs, the research arm of the company, according to the press release.

Glow is scheduled to showcase its solution at the Black Hat USA Conference in Las Vegas, the company said.