❯ HiddenLayer Raises $100 Million to Protect AI Agents

Purpose-Built AI ProtectionAI-security company HiddenLayer announced a $100 million Series B led by Delta-v Capital. It discovers enterprise AI assets, tests attacks and blocks threats while models and agents run. Ten Eleven Ventures, M12, Booz Allen Ventures and Morgan Stanley participated. Crunchbase lists total funding of $156.2 million; the round’s valuation was not disclosed.

From Models to AgentsFounded in 2022, the company raised a $50 million Series A in September 2023 led by M12 and Moore Strategic Ventures. The focus then was protecting machine-learning models, monitoring inputs and outputs, and identifying adversarial attacks. Three years later, the new financing is twice as large, while the protection extends to agents that write code, call tools and execute sequences of tasks. A bad output can now lead to an actual operation. Enterprises therefore need checks during execution, beyond a test before deployment. The financing supports that product evolution.

Securing ExecutionHiddenLayer’s website brings discovery, AI supply-chain checks, attack simulation and runtime protection into one product suite. This can connect pre-deployment testing with production monitoring and track the same asset through different stages. The new funding will strengthen agent runtime defenses and execution-environment security for autonomous coding agents. In its financing announcement, the company says annual recurring revenue grew more than tenfold over the past year and it added more than 50 platform customers. It did not publish the revenue base alongside that growth figure, so revenue cannot be inferred from the multiple alone. Commercial validation also requires knowing which capabilities new customers use and whether they keep paying.

Testing a Standalone CategoryTo command a separate budget, AI security must demonstrate capabilities that existing security products do not adequately provide. Model inputs can change system behavior, while agents connect that behavior to enterprise tools, making task and permission awareness necessary. Yet scanning, testing and runtime protection could also be absorbed into established platforms. HiddenLayer’s opportunity is to deliver hard-to-replace detection while keeping integration and response straightforward. More operating disclosure is needed before assessing valuation. For now, renewals and expansion keeping pace with the product scope would validate the business more convincingly than the AI-security label alone.

▪ SIGNALAs AI moves from answering questions to executing tasks, security products must protect execution to earn independent, recurring budgets.