A cybersecurity startup most people outside the industry have never heard of just became a unicorn before shipping a public product roadmap. On July 22, 2026, Glow emerged from stealth mode with $180 million in Series A funding at a $1.2 billion valuation, betting that the way enterprises secure employee devices needs to be rebuilt from the ground up for an era where both workers and attackers are using artificial intelligence.
A Big Bet on a Familiar Problem
Endpoint security, the practice of protecting laptops, servers, and other devices that connect to a corporate network, is not a new category. Companies like CrowdStrike and SentinelOne have built massive businesses around it. What's changed, according to Glow's founders, is the nature of what's actually happening on those devices. Employees are installing AI copilots, connecting autonomous agents, and adopting new software faster than most security teams can evaluate it, and attackers are using generative AI of their own to automate phishing campaigns and build more capable malware. Glow's founding team believes the tools built for the pre AI endpoint were never designed for this.
Who Is Glow
Glow was founded in 2025 and operates with dual headquarters in Tel Aviv, Israel, and Palo Alto, California. The company kept a low profile for most of its early life, only surfacing briefly in February 2026 when initial reports revealed it had already secured more than $100 million at a valuation north of $1 billion while still largely in stealth. That early signal turned out to be a preview of a much bigger announcement.
Even before this week's launch, Glow had quietly signed enterprise customers in industries including financial services, healthcare, and retail, giving the company real deployments to point to rather than just a pitch deck.
Inside the $180 Million Round
The Series A round that took Glow out of stealth was structured as an all equity raise and valued the company at $1.2 billion. It was led by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, with additional participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. That's a notably deep investor bench for a company that had barely spoken publicly about its technology until now, and it reflects how much appetite there currently is among venture firms for AI native security bets.
The Team Behind Glow
Glow's leadership team draws heavily from some of the biggest names in tech and cybersecurity, which is part of why the round attracted so much investor interest so quickly.
| Name | Role at Glow | Prior Background |
|---|---|---|
| Roi Tiger | CEO and Co-founder | Nine years at Meta, most recently VP of Engineering |
| Omer Singer | CTO and Co-founder | Former Head of Cybersecurity Strategy at Snowflake, Unit 8200 |
| Ophir Arie | VP of R&D and Co-founder | Former VP of R&D at Claroty, Talpiot program graduate |
| Arnon Joseph | Chief Product Officer | Eight years at Meta, led Meta Israel's product group |
| Emily Heath | Chief Strategy Officer | Former CISO at United Airlines and DocuSign, board member at Wiz, former partner at Cyberstarts |
That mix of hyperscaler engineering experience, cybersecurity strategy know how, and a founding team that includes a former CISO gives Glow a leadership bench that looks as much like a seasoned enterprise security vendor as a young startup.
Why AI Is Forcing Endpoint Security to Change
Glow's core argument is that the corporate endpoint has quietly become the place where AI adoption actually happens. Employees download AI coding assistants, connect autonomous agents to internal systems, and integrate new AI powered software into their daily workflows, often well before a security team has had a chance to review any of it. At the same time, attackers are using generative AI to automate phishing, write more convincing lures, and develop malware faster than defenders can respond. Glow's own materials reference the risk of attacks that draw on frontier, Mythos class AI capabilities capable of exploiting weaknesses at machine speed, underscoring how quickly the threat landscape is evolving alongside the technology itself.
CEO Roi Tiger has described this shift bluntly, noting that AI is arriving at the endpoint in a way the industry hasn't seen before. That's the gap Glow is trying to fill.
How Glow's Technology Works
Rather than relying purely on detecting threats after they've already landed, Glow is built around a prevention first model. The company describes its approach as adaptive prevention, built on three connected capabilities.
Environment Mapping
Specialized AI agents continuously map what's actually running across an organization's endpoints, giving security teams real time visibility into the software, tools, and AI agents employees are using, rather than relying on periodic audits or self reported inventories.
Risk Analysis
Glow's reasoning engine evaluates that mapped environment for risk in real time, using context about how software behaves and interacts with sensitive systems to flag what actually matters instead of drowning security teams in generic alerts.
Automated Policy Enforcement
Based on that risk analysis, the platform can automatically allow, restrict, or remove software on the endpoint, adapting policy enforcement to the environment rather than requiring security teams to manually approve or block every new tool an employee wants to use.
Taking Aim at a Fragmented $40 Billion Market
Endpoint security is already a roughly $40 billion market, dominated by large, established players. Tiger has argued that the space is nonetheless fragmented, with most vendors solving one narrow piece of the problem rather than offering a single comprehensive layer of protection.
"We offer a broad solution for the entire endpoint market, not just AI," Tiger told Calcalist, describing the space as one dominated by point solutions rather than comprehensive protection.
That framing puts Glow in direct, if early, competition with giants like CrowdStrike and SentinelOne, companies with far larger customer bases and long track records. Glow's bet is that none of them were built with today's AI driven endpoint in mind, and that a newer architecture designed around AI from day one can out maneuver incumbents that have to retrofit AI capabilities onto older platforms.
From a Quiet Signal to a Full Unicorn Launch
Glow's path to this moment wasn't a single dramatic announcement. The company first drew attention in February 2026, when early reporting revealed it had raised more than $100 million at a valuation already above $1 billion, all while still largely operating in stealth. That earlier round set the stage for this week's fuller unveiling: a $180 million Series A at a $1.2 billion valuation, alongside the company's first real public explanation of what it actually does.
In between those two moments, Glow used its stealth period productively, signing enterprise customers in financial services, healthcare, and retail rather than spending all of its time on marketing. That gives the company a small base of real world deployments to point to as it starts competing more openly.
Where the New Funding Is Headed
Glow says the fresh capital will go toward two main priorities.
- Expanding U.S. go to market operations. Despite its Israeli roots, Glow is positioning itself as a Palo Alto headquartered company as it builds out its American sales and customer success teams.
- Growing Glow Labs. The company's cybersecurity research division is expected to expand, continuing to study how attackers are using AI and feeding that research back into the product.
Fair Questions the Market Will Ask
Reaching a $1.2 billion valuation before publicly detailing much about performance naturally invites scrutiny. Much of what's known about Glow's effectiveness so far comes from the company's own early customer relationships, and there are no independent benchmarks yet confirming how well its prevention approach holds up against real attackers at scale. Glow is expected to attend Black Hat USA 2026, which should give the wider security research community its first real opportunity to test the company's claims in a more public setting rather than relying on vendor supplied numbers alone.
Part of a Bigger Wave in AI Security Funding
Glow's launch lands amid a broader surge of funding into companies trying to secure the AI layer of the enterprise. Around the same period, other security startups have raised notable rounds of their own aimed at controlling how enterprises adopt AI software and agents, while established players in identity and infrastructure security have also pulled in large investments tied to AI and next generation threats. Investors appear to be treating AI driven security as one of the more urgent categories in enterprise technology right now, and Glow's unicorn debut is one of the clearer signals of just how much capital is chasing that thesis.
What Comes Next for Glow
With funding secured and a public story to tell, Glow's next test is execution: converting its stealth period customer relationships into a broader base of paying enterprise accounts, proving its prevention first approach holds up against real attackers, and doing all of that while competing against far larger, well established endpoint security vendors. The company's leadership, many of whom have already scaled security products inside large organizations, seem aware that the real work is only just beginning now that the stealth phase is over.
Final Thoughts
Glow's emergence from stealth captures something bigger happening across enterprise security right now: a race to rebuild foundational tools for a world where AI sits on nearly every employee's device, and where attackers are just as capable of using that same technology. A $1.2 billion valuation buys attention and runway, not proof. Whether Glow's prevention first approach actually holds up against real world attackers, and against entrenched competitors like CrowdStrike and SentinelOne, will be the story worth watching over the next year.
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