Glow, an AI-powered endpoint security company, emerged from stealth today with $180 million in funding at a $1.2 billion valuation to address a security crisis created by rapid AI adoption in enterprises. 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 company plans to use the funding to expand its go-to-market team in the United States and grow Glow Labs, its research division.

Why Is Endpoint Security Suddenly a Crisis?

The problem Glow is solving is straightforward but urgent: employees are adopting AI tools faster than security teams can evaluate them. Regular usage of AI on corporate devices, whether authorized or not, has skyrocketed from 15% to 45% in just one year. This shift has fundamentally changed what "the endpoint" means. The endpoint is no longer just a laptop or phone; it is now the entry point where AI agents and tools enter an organization, often without security review.

Traditional endpoint security tools were never designed for this reality. They were built to react to threats after they appeared, not to prevent them before they enter the network. In an AI era where attackers can exploit vulnerabilities at machine speed, this reactive approach is no longer sufficient. Security teams now face a choice: either slow down AI adoption with restrictive policies, or accept higher risk. Glow's founders believe there is a third path.

"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," said Roi Tiger, CEO and co-founder of Glow.

Roi Tiger, CEO and co-founder, Glow

Who Built This Company and Why Should Enterprises Trust Them?

Glow's founding team brings deep experience from some of the world's largest technology and security organizations. Roi Tiger spent nine years at Meta, most recently as VP of Engineering. CTO and co-founder Omer Singer served as Snowflake's Head of Cybersecurity Strategy. VP of R&D and co-founder Ophir Arie held the same title at Claroty, a critical infrastructure security company. Chief Product Officer Arnon Joseph spent eight years at Meta as Senior Director of Product.

The team's operational experience extends to the C-suite. Chief Operating Officer Emily Heath previously served as Chief Information Security Officer (CISO) at United Airlines and DocuSign, and was a board member for Wiz through its $32 billion acquisition by Google. Her perspective on the problem is particularly valuable because she has sat in the role of the security leader trying to balance protection with business velocity.

"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," said Emily Heath, Chief Operating Officer at Glow.

Emily Heath, Chief Operating Officer, Glow

How Does Glow's Prevention-First Approach Work?

Glow's core innovation is a shift from detection and response to prevention and control. The platform uses specialized AI agents to continuously map the endpoint environment, analyze risk in real time, and enforce security policies automatically. Rather than waiting for a threat to be detected and then responding, Glow proactively decides which software is allowed to run and which should be removed, all without slowing down legitimate business operations.

The company's context and reasoning engine makes prevention adaptive, meaning policies can adjust based on the specific circumstances of each situation. This is a departure from traditional endpoint security, which typically relies on static rules that either block too much (frustrating employees) or allow too much (creating risk). Glow's approach aims to find the middle ground by using AI to understand nuance.

• Real-Time Risk Analysis: Specialized AI agents continuously monitor the endpoint environment and assess risk as it emerges, rather than waiting for incidents to occur.
• Adaptive Policy Enforcement: The platform automatically decides which software is allowed and which should be removed, adjusting policies based on context and reasoning rather than static rules.
• Reduced Attack Surface: By controlling everything that runs on the endpoint, Glow significantly shrinks the number of potential entry points attackers can exploit.
• Business Velocity Preservation: The system is designed to enable employees to adopt and use AI securely without the friction of traditional security tools that block legitimate work.

What Do Early Customers Say About the Solution?

Since its founding in 2025, Glow has already signed enterprise customers across healthcare, retail, and financial services sectors. These early adopters are proving that the premise underlying Glow's mission is correct: organizations can accelerate AI adoption while maintaining strong security posture. This is a significant finding because it challenges the conventional wisdom that speed and security are inherently at odds.

The company will showcase its solution at the Black Hat USA Conference in Las Vegas from August 3 through August 5, 2026, at the House of Glow in the House of Blues Courtyard. This venue is significant because Black Hat is where security professionals, researchers, and enterprise leaders gather to evaluate cutting-edge security solutions. Glow's presence there signals that the company is confident in its technology and ready to engage with the security community directly.

Why Did Sequoia Capital Back This Company?

Sequoia's decision to lead the funding round reflects the firm's conviction that endpoint security in the AI era represents a massive market opportunity. The venture capital firm has been increasingly focused on AI infrastructure and enterprise security, recognizing that as AI adoption accelerates, the security challenges will become more acute and more valuable to solve.

"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," said Shaun Maguire, Partner at Sequoia Capital.

Shaun Maguire, Partner, Sequoia Capital

Gili Raanan, founder of Cyberstarts, echoed this sentiment, emphasizing the importance of the team itself. "Great companies are ultimately defined by the people who build them," Raanan noted, highlighting the caliber of talent Glow has assembled. This focus on team quality over product alone reflects a broader trend in venture capital: when the problem is large enough and the team is strong enough, investors are willing to bet big.

The $180 million funding round at a $1.2 billion valuation positions Glow as one of the most well-capitalized security startups to emerge in recent years. This capital will allow the company to scale rapidly and establish itself as the standard-bearer for endpoint security in the AI era, at a moment when enterprises are desperate for solutions that let them move fast without taking on unacceptable risk.