HiddenLayer Raises $100 Million Series B as Enterprises Race to Secure AI Agents
HiddenLayer Raises $100 Million Series B as Enterprises Race to Secure AI Agents
HiddenLayer, an Austin-based AI security company, has raised $100 million in a Series B funding round led by Delta-v Capital. The round brings the company's total funding to more than $155 million and follows a $50 million Series A round completed three years earlier. Participating investors include Booz Allen Ventures, Microsoft's M12, Morgan Stanley, and Ten Eleven Ventures.
Founded in 2022, HiddenLayer has positioned itself as a specialist in securing AI systems, and the company says it now counts the U.S. Department of Defense and intelligence community among its customers.
Reported Growth and Business Momentum
HiddenLayer says its annual recurring revenue grew more than tenfold over the past year. This figure is self-reported by the company and has not been independently verified. Many observers note that this kind of growth trajectory, if sustained, would reflect a broader surge in enterprise demand for tools that secure AI deployments, including autonomous and agentic AI systems. The company points to its existing government contracts as one signal of traction, though the underlying scale of that business has not been publicly detailed.
What the Funding Will Support
According to the company, the new capital will go toward expanding what it calls "agentic runtime security" capabilities. This includes tools aimed at securing AI coding agents and monitoring the behavior of autonomous agents operating in production environments. HiddenLayer's platform emphasizes runtime protection, visibility into agent behavior, and detection of anomalous or unexpected actions taken by AI systems once deployed.
Why Investors Are Betting on AI Security Now
The funding arrives amid growing industry attention to AI security as a distinct market category. Gartner has forecast that spending on securing AI will reach approximately $2.83 billion in 2026 and grow to $4.78 billion in 2027. These figures are third-party market projections rather than confirmed outcomes, and actual spending could differ from forecasts. Still, a recurring theme across industry commentary is that the pace of agentic AI adoption inside enterprises may be outstripping the security oversight built around it, which several market watchers cite as a key driver of investor interest in this space.
Context: Risks Driving Enterprise Urgency
A recurring concern among enterprises centers on AI agents operating with reduced human oversight, particularly as organizations grant these systems more autonomy in production environments. Industry voices, including AI security vendors, have raised the possibility that autonomous agents could be manipulated, misused, or take unauthorized actions if left inadequately monitored. It's worth noting that this risk narrative is largely advanced by vendors and industry participants with a commercial stake in AI security tooling, and public, independently documented incidents of AI agents causing significant real-world harm remain limited. As agentic AI systems see broader deployment, the debate over how much oversight and tooling is necessary is likely to continue.