The ex-Meta VP behind a notorious spy tool just raised $180M for AI security

The business move

Glow, an AI security startup founded by Roi Tiger, just raised a $180 million funding round. Tiger is known for co-creating Onavo, an app Meta used to secretly monitor competitors, which tainted his reputation in Silicon Valley. Glow is now emerging from stealth mode with a focus on defending enterprise laptops and endpoints using AI-driven security tools. The company aims to reverse Tiger’s previous association with invasive surveillance by securing devices rather than exploiting them.

Why it matters

Glow’s sizable funding signals strong investor confidence in AI-powered endpoint security, a space under growing pressure from increasingly sophisticated cyber threats. Enterprises face the challenge of trusting AI to protect their laptops, which often serve as major attack vectors. Glow’s approach leverages AI to detect and mitigate risks automatically at the device level, shifting endpoint security from reactive to proactive.

Tiger’s history raises skepticism about privacy and surveillance trade-offs. Companies weighing Glow as a security partner will want clear guarantees on data handling and transparency. The startup’s success depends not just on cutting-edge AI, but on restoring trust that enterprise customers need to allow software deep access to their devices.

Who gains and who gets squeezed

Enterprises stand to gain more adaptive and intelligent endpoint security that promises to catch threats faster and with less manual oversight. This could reduce breach risks and lower management costs. Legacy security vendors relying heavily on signature-based detection and static rules face pressure to innovate or lose business.

Investors betting on cyber defense innovation win as Glow stakes a claim in a hot AI niche where customers demand better protection against persistent attacks. Conversely, companies slow to adopt AI in endpoint security risk falling behind on threat detection capabilities, potentially facing higher breach risks and compliance costs.

What to watch next

The real test for Glow will be early adoption by major enterprises willing to trust AI to guard critical endpoints. Watch how Tiger’s team addresses privacy concerns tied to their past. Also track Glow’s technical advances and ability to integrate with existing enterprise security stacks without adding friction.

Finally, this raises a wider industry question about how AI reshapes endpoint security economics, competition, and risk models. Glow’s growth and approach could accelerate AI adoption but also stress test enterprise comfort zones on data access and trust in autonomous security agents.

AI Quick Briefs Editorial Desk