Glow exits stealth with $180m to rewrite endpoint security

Glow

Glow has come out of stealth armed with $180m in funding and a valuation of $1.2bn, promising to change how large organisations protect their devices in the age of AI.

Sequoia, Cyberstarts, Greenoaks and Redpoint Ventures led the round, joined by Index Ventures, Swish Ventures, Lux Capital, Operator Collective and Holly Ventures. The capital will go towards scaling the firm’s US go-to-market operation and building out Glow Labs, its dedicated research division.

The leadership bench draws heavily on big-tech and cybersecurity pedigree. CEO and co-founder Roi Tiger spent close to a decade at Meta, latterly as VP of engineering, while CTO and co-founder Omer Singer previously headed cybersecurity strategy at Snowflake. Fellow co-founder Ophir Arie, now VP of R&D, held the equivalent post at Claroty.

They are joined by chief product officer Arnon Joseph, another Meta veteran of eight years, and chief operating officer Emily Heath, whose CV spans CISO roles at United Airlines and DocuSign, a partnership at Cyberstarts, and a board seat at Wiz during its $32bn sale to Google.

Glow’s pitch rests on the argument that AI has fundamentally altered the endpoint. Devices are now the gateway through which employees pull new AI tools and agents into their daily workflows, typically outpacing any security review process.

According to figures cited by the firm, the share of staff regularly using AI on work devices, sanctioned or otherwise, has tripled from 15% to 45% within a single year. The company also contends that adversaries can now weaponise long-tolerated weaknesses at machine speed, and that legacy tooling was never designed to cope, demanding a shift from reactive detection towards blocking risk before it reaches the organisation.

The platform hands security teams oversight of everything running on a device. Specialised AI agents map the environment on a continuous basis, weigh up risk as it develops, and apply policies automatically, determining which software gets in and which is stripped out, all without holding up day-to-day operations. Underpinned by a context and reasoning engine, the approach shrinks the endpoint attack surface and lets staff embrace AI safely.

Since launching, Glow has already brought on board enterprise clients across healthcare, retail and financial services, sectors it says are demonstrating that AI adoption and tighter security need not pull in opposite directions.

Glow CEO Roi Tiger said, “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.”

Glow COO Emily Heath added, “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.”

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