Glow Exits Stealth Mode with $180M to Revolutionize AI-Enabled Endpoint Security

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Glow has exited stealth mode after securing $180 million in funding, achieving a $1.2 billion valuation to advance AI-enabled endpoint security.

Glow’s stealth exit and funding details

Glow has exited its stealth mode after securing $180 million in funding, achieving a valuation of $1.2 billion to drive advancements in endpoint security. The company plans to allocate resources toward expanding its U.S.-based go-to-market operations and scaling Glow Labs, its cybersecurity research division.

The startup was established by CEO Roi Tiger, who previously held a leadership role at Meta as VP of Engineering, CTO Omer Singer, who led cybersecurity strategy at Snowflake, and VP of R&D Ophir Arie, who served in a similar capacity at Claroty. Chief Product Officer Arnon Joseph brings experience from Meta, where he held a senior director position in product development. Chief Operating Officer Emily Heath has a background in cybersecurity leadership, including roles as CISO at United Airlines and DocuSign, and board membership at Wiz during its $32 billion acquisition by Google.

The evolution of endpoint security in the AI era

The integration of artificial intelligence into enterprise workflows has redefined the endpoint as a critical access point for malicious actors. Employee adoption of AI tools, agent deployments, and workflow integrations has outpaced the ability of security teams to assess risks. Internal AI usage on corporate devices has surged from 15% to 45% within a single year.

This shift has not only introduced new security challenges but also intensified existing vulnerabilities. Threat actors now possess capabilities comparable to Mythos-class adversaries, and traditional security frameworks are inadequate for addressing risks that can be exploited at machine speed.

Heath, who previously served as a CISO, emphasized the urgency of adapting security strategies to modern AI demands. “The tools available to security teams were never designed for the challenges enterprises face today,” she stated. “Organizations are accelerating AI adoption, but the critical question remains whether security infrastructure can keep pace. Glow is addressing this gap.”

Glow’s platform addresses these challenges by offering a proactive security model that shifts from reactive measures to predictive risk management. The system employs specialized AI agents to continuously map endpoint environments, evaluate threats in real time, and enforce policies automatically. This approach enables automated decisions on software authorization or removal without disrupting business operations. The platform’s context-aware reasoning engine enhances this capability by providing deeper insights into potential threats.

Building a team for enterprise AI security

The leadership team behind Glow includes executives with extensive experience in scaling technology and cybersecurity operations. Gili Raanan, founder of Cyberstarts, highlighted the team’s expertise in creating scalable solutions. “Roi, Omer, Ophir, Arnon, and Emily have assembled a group of innovators capable of delivering long-term impact,” Raanan said.

Investors have also expressed confidence in the company’s vision. Shaun Maguire, a partner at Sequoia Capital, noted the team’s track record in managing large-scale operations. “Roi, Omer, and Ophir have built and operated at scale, targeting a problem that will shape the industry. We are excited to support their mission from the outset,” Maguire added.

Glow has already secured enterprise clients across healthcare, retail, and financial services sectors. These organizations are demonstrating that AI integration and robust security can coexist without compromising operational efficiency. The company’s focus on AI-driven endpoint protection aligns with growing concerns about the intersection of emerging technologies and cybersecurity.

As enterprises adopt AI at an unprecedented rate, solutions like Glow’s aim to provide the necessary safeguards to mitigate evolving threats.