Last Updated: 22 July 2026
Glow, a cybersecurity startup built around a simple bet, that AI can finally make prevention work at enterprise scale, has emerged from stealth this week. The company was founded by three executives with deep roots in engineering and security leadership: CEO Roi Tiger, who spent nine years at Meta, most recently as VP of Engineering; CTO Omer Singer, formerly Snowflake's Head of Cybersecurity Strategy; and VP of R&D Ophir Arie, who served as VP R&D at Claroty.
The timing is not a coincidence. Employees are adopting AI tools inside their companies faster than security teams can review them, often without asking permission first. That shift has turned the ordinary work laptop into the front line of a new kind of risk, one that traditional antivirus tools were never built to catch. The endpoint security market reflects that pressure directly. It is projected to grow from $17.76 billion in 2026 to $28.06 billion by 2031, a compound annual growth rate of 9.6 percent, according to MarketsandMarkets.
Glow raised $180 million at a $1.2 billion valuation in a round led by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures. Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures also participated.
"Prevention was always the right answer in security. It just never worked at enterprise scale without blocking the business," said Tiger. "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."
Roi Tiger, CEO and co-founder of Glow
Security teams have spent years reacting to threats after they already reached company devices. That approach worked reasonably well when the biggest risk was an employee clicking a bad link. It works far less well now that employees are installing AI browser extensions, connecting AI agents to internal systems, and experimenting with tools that were never vetted by IT. According to Glow, regular use of AI on corporate devices, whether sanctioned or not, jumped from 15 percent to 45 percent in a single year.
That kind of growth outpaces what most security teams can realistically review one tool at a time. It also explains why investors are pouring money into AI-focused security platforms more broadly. The AI security platforms market alone was valued at $3.50 billion in 2025 and is expected to reach $31.19 billion by 2036, with endpoint security platforms already holding roughly 48 percent of that market in 2026, according to Future Market Insights.
Investors backing Glow see the same shift. Shaun Maguire, a partner at Sequoia Capital, framed the opportunity in terms of the team's track record as much as the market itself.
"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."
Shaun Maguire, Partner at Sequoia Capital
Glow plans to put the $180 million toward two main priorities. The first is growing its go to market team in the United States, where the company intends to build out sales and customer success functions to support enterprise adoption. The second is expanding Glow Labs, the company's internal research arm focused on studying how attackers and employees alike are using AI inside corporate environments.
The company has already signed customers across healthcare, retail, and financial services, industries where the tension between adopting AI quickly and keeping systems secure tends to run highest. Glow will also use part of its post launch visibility to introduce the product publicly for the first time at the Black Hat USA Conference in Las Vegas, where it plans to host a dedicated space called the House of Glow from August 3 through August 5.
Founded in 2025, Glow builds software that gives security teams direct control over everything running on a company's laptops and devices. In plain terms, the product uses specialized AI agents to continuously scan what is installed on an employee's machine, judge whether it poses a risk, and automatically decide whether it should be allowed to stay or removed, all without requiring a person to manually review every tool. The goal is to catch risky software before it causes damage rather than cleaning up after an incident has already happened.
The founding team is joined by Chief Product Officer Arnon Joseph, who spent eight years at Meta as Senior Director of Product, and Chief Operating Officer Emily Heath. Heath previously served as chief information security officer at United Airlines and DocuSign, sat on the board of Wiz through its $32 billion acquisition by Google, and worked as a partner at Cyberstarts before joining Glow. Her background sitting on the other side of the table, as a security buyer rather than a vendor, shapes how she describes the problem Glow is trying to solve.
"I sat in the CISO seat for a long time, and I can tell you the tools available to us were never built for what enterprises face today. Every enterprise wants to move faster with AI. The question isn't whether they'll adopt it—it's whether security can keep up. That's the challenge Glow is solving."
Emily Heath, Chief Operating Officer of Glow
What sets Glow apart, according to the company, is that its system is designed to make prevention decisions automatically and continuously, rather than flagging problems for a human to sort through later.
Gili Raanan, founder of Cyberstarts, pointed to the strength of the founding team as the deciding factor behind the firm's investment.
"Great companies are ultimately defined by the people who build them. Roi, Omer, Ophir, Arnon and Emily have assembled an extraordinary group of builders with the talent and determination to create something enduring."
Gili Raanan, founder of Cyberstarts
Alongside Cyberstarts, the round was led by Sequoia Capital, Greenoaks, and Redpoint Ventures, with additional participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures.
