Glow exits stealth with $180 million and a $1.2 billion valuation to secure endpoints for the AI agent era
On July 22, 2026, Israeli startup Glow exited stealth mode with a $180 million funding round and a $1.2 billion valuation, according to TechCrunch, SecurityWeek and the company's official announcement via GlobeNewswire. Based in Tel Aviv, the company proposes an AI driven prevention approach to protect corporate devices from malware, risky AI agents and unauthorized applications.
Glow exits stealth with $180 million and a $1.2 billion valuation to secure endpoints for the AI agent era
Israeli startup Glow, an AI native endpoint security company, announced on July 22, 2026 that it had exited stealth mode with a $180 million funding round and a $1.2 billion valuation. The news was confirmed by TechCrunch, SecurityWeek, SiliconANGLE, Help Net Security, BankInfoSecurity and FinSMEs, along with the company's official statement distributed via GlobeNewswire. Headquartered in Tel Aviv and founded in 2025, Glow enters the market with a mission to protect corporate devices, computers, laptops and connected hardware, from malware, risky AI agents and unauthorized applications, using an artificial intelligence driven prevention approach.
Who is behind the $180 million
The round was led by four heavyweight funds in the Israeli and Silicon Valley technology ecosystem: Sequoia, Cyberstarts, Greenoaks and Redpoint Ventures. Index Ventures, Swish Ventures, Lux Capital, Operator Collective and Holly Ventures also participated, according to the GlobeNewswire announcement and coverage from TechCrunch and SiliconANGLE. The size of the check and the roster of investors, many of whom have backed some of the most relevant AI security and infrastructure startups of recent years, signal strong venture capital appetite for solutions built specifically to protect corporate environments already running AI agents.
A founding team with roots in Meta, Snowflake and Claroty
Glow was founded by three executives with backgrounds at large technology and security companies. CEO Roi Tiger previously served as VP of engineering at Meta. CTO Omer Singer was formerly head of cybersecurity strategy at Snowflake. VP of R&D Ophir Arie came from Claroty, a company focused on securing industrial systems and connected devices, where he also served as VP of R&D. That mix of product scale experience, cloud data security strategy and connected device protection shaped the company's technical approach, according to reporting from BankInfoSecurity and Help Net Security.
The core thesis: traditional endpoint security was not built for AI agents
Glow's founding argument, echoed in coverage from SecurityWeek and FinSMEs, is straightforward: endpoint security tools built over the past decade were designed for a world of human users operating predictable applications, not for an environment where autonomous AI agents execute tasks, access systems and make decisions on behalf of employees. Those agents expand the attack surface in ways that antivirus software, EDR (Endpoint Detection and Response) platforms and traditional application control tools were never designed to see: a misconfigured, compromised or simply unsupervised AI agent can become an entry point as dangerous as classic malicious software.
How the product works: AI driven prevention across three layers
Glow's approach prioritizes prevention rather than only detecting and responding to incidents already underway. The product uses artificial intelligence to map the corporate environment, identifying devices, installed applications and running AI agents. It then analyzes the risk of each element in that map, cross referencing observed behavior against security policies defined by the organization. Finally, it applies those policies automatically, blocking or restricting malicious software, AI agents deemed risky and unauthorized applications before they cause harm, according to the product description reported by SiliconANGLE and Help Net Security.
Why this matters for Brazilian agencies and SMEs deploying AI agents
Glow's launch comes just weeks after another episode already covered on this site: the breach at Hugging Face carried out by an autonomous AI agent, a reminder that production systems connected to agents are no longer a theoretical risk. For Brazilian agencies and small and medium businesses that today deploy chatbots, customer service assistants and marketing automation powered by AI for their own clients, the message is direct: every agent connected to a production system, a customer database or a corporate device widens the surface that can be exploited. A $180 million investment in a security category built specifically for the agent era signals that major funds already treat this risk as a market priority, not a niche. Companies selling AI automation to clients in Brazil also need to take seriously the security layer of the very agents they deploy: access control, behavior monitoring and clear policies on what an agent can and cannot do are no longer a differentiator, they are becoming a basic requirement of any serious commercial proposal.