- Glow, an AI-focused endpoint security startup, has come out of stealth mode with $180 million in funding and a $1.2 billion valuation.
- The funding round was led by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures. Glow’s founders previously held leadership roles at Meta, Snowflake, and Claroty.
- Glow aims to tackle the growing problem of unauthorised AI use on corporate devices, which jumped from 15% to 45% over the past year.
Before Roi Tiger spent nine years climbing the engineering ranks at Meta, he co-founded the company whose product would become one of Silicon Valley’s most cited examples of corporate surveillance. Now he is saying that experience, and $180 million in fresh funding, will help him convince enterprises to trust an AI agent with their endpoint security.
Tiger’s new startup, Glow, emerged from stealth with a Series A round that values the company at $1.2 billion. The round was led by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, joined by Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures.
“Prevention was always the right answer in security. It just never worked at enterprise scale without blocking the business. AI solves that. The moment we saw what AI made possible, we knew the endpoint could finally be protected the way it always should have been,” Tiger says.
The deal adds Glow to a growing line of cybersecurity startups, Wiz among them, that have crossed the billion-dollar mark before ever putting a revenue figure on the table, a sequencing that has become increasingly common in Israeli cybersecurity funding rounds.
From Onavo to endpoint security
Founded in 2025 and based in Tel Aviv and Palo Alto, Glow was built by Tiger, Omer Singer, and Ophir Arie. Tiger’s history in the industry starts fifteen years earlier, when he co-founded Onavo alongside Guy Rosen in Tel Aviv, building a mobile app that helped users compress and monitor their data usage. Meta acquired Onavo in 2013 for a reported $120 million to $200 million, and Tiger stayed on for nine years, eventually becoming vice president of engineering.
What happened to Onavo after the acquisition is the part of Tiger’s résumé that follows Glow into this launch. According to court documents unsealed in 2024, Meta chief executive Mark Zuckerberg directed staff in 2016 to find a way to gather analytics on Snapchat after its encrypted traffic blocked Meta’s usual tracking methods.
Meta’s engineers repurposed Onavo’s VPN software to intercept and decrypt competitors’ app traffic, a scheme internally called Project Ghostbusters that also targeted YouTube and Amazon. Apple pulled Onavo from the App Store in 2018 over the practice, Meta shut the service down entirely in 2019, and the unsealed filings later described the program’s conduct as not merely anticompetitive, but criminal.
Onavo has also drawn scrutiny from EU antitrust regulators over its role in Meta’s decision to acquire WhatsApp. Tiger has not spoken publicly about his role in Project Ghostbusters, and Glow’s announcement makes no reference to it.
Singer led cybersecurity strategy at Snowflake, and Arie ran research and development at industrial security firm Claroty. Chief product officer Arnon Joseph spent eight years at Meta as a senior product director, and chief operating officer Emily Heath was chief information security officer at United Airlines and DocuSign and sat on Wiz’s board through its $32 billion acquisition by Google.
Prevention over detection
Glow’s current pitch centres on a specific number: unauthorised AI use on corporate devices has climbed from 15% to 45% in a year, by the company’s own account. Its AI agents map what is running on a device, assess risk in real time, and block unapproved software before it lands, rather than flagging it after the fact, a reversal of the surveillance-and-report model Tiger’s earlier company was built on.
According to Tiger, the platform has already stopped malicious npm packages, the small, reusable code components developers pull into their software, which attackers increasingly use to smuggle in malware, from installing in customer environments, and has flagged devices where endpoint detection tools were missing or degraded.
The system runs on Anthropic and Google Gemini models via Amazon Bedrock, layered with Glow’s own context engine.
Glow’s main competitors are CrowdStrike, Microsoft, and SentinelOne, which focus more on quickly detecting and responding to threats instead of blocking them in advance. In 2026, SentinelOne is trying to close a $1.4 billion revenue gap with CrowdStrike by focusing on offline, autonomous remediation, which is different from Glow’s prevention-first strategy. It is still unclear whether companies will trust AI agents to make automatic prevention decisions instead of relying on human analysts.
Glow has signed enterprise customers in healthcare, retail, and financial services, though it has not disclosed names, customer counts, or revenue.
Part of a broader AI-security funding trend
Glow is one of several AI-security startups getting major investment before revealing any revenue.
In April 2026, Florida-based Tenex reached a valuation of over $1 billion with a $250 million round for its AI-managed detection and response. Seattle’s XBOW, started by GitHub Copilot creator Oege de Moor, became a unicorn with $120 million, focusing on AI systems that find software vulnerabilities. Barcelona’s NeuralTrust raised $20 million in seed funding to manage enterprise AI agents.
While this is lower than Glow’s figure, it shows the same issue: AI agents are advancing faster than the tools meant to monitor them.
The endpoint security market is large but not growing quickly. Mordor Intelligence predicts it will increase from $23.34 billion in 2026 to $39.41 billion by 2031, with an annual growth rate of 11%, mainly due to cloud deployment and AI-based behavioural analytics. This is the area where Glow is concentrating its efforts.
“Partnering with Roi, Omer, and Ophir was one of the easiest decisions we’ve made. This is a team that has built and operated at a massive scale, going after a problem that will define the industry. We couldn’t be more excited to work with them from day one,” adds Shaun Maguire, Partner at Sequoia Capital.
The team has done this before at smaller scale: Glow had already raised roughly $80 million at a valuation near $400 million before this round, and many of its backers, including Greenoaks and Cyberstarts, previously bet on Wiz, a company that Tech Funding News tracked from a $300 million raise at a $10 billion valuation to its $1 billion Series E and eventual sale to Google. Glow now employs close to 100 people, roughly 70% of them in Israel, and plans to use the new funding to grow its US go-to-market team and expand Glow Labs, its research arm.
In 10 years, prevention-first endpoint security could become as common as cloud-native detection is today, or it might turn out to be a premature investment if companies do not trust AI-driven decisions. How many enterprises adopt Glow in the next year will help answer this question.
