Eve Security Files Patent for Interrogation-as-a-Service to Govern AI Agent Risk

New updates have been reported about Eve Security.

Eve Security has filed a patent for what it calls Interrogation-as-a-Service, positioning the Austin-based company at the center of a new control layer for autonomous and agentic AI in production systems. The technology shifts AI security from simple permission checks to a “reasoning-before-execution” model, giving enterprises a way to evaluate why an AI agent wants to perform high-risk actions such as data exports, configuration changes, or sensitive system queries.

According to CEO and co-founder Nadav Cornberg, the model is designed to be SDK-free and vendor-neutral, making it easier for large organizations to plug the capability into existing AI clients, gateways, and orchestrators over standard HTTP and JSON. When Eve’s platform flags a request as high or critical risk, it automatically issues a structured interrogation of five reasoning prompts—covering intent, necessity, potential harm, data exposure, and alternatives—before authorizing or blocking the operation.

This interrogation workflow integrates language-model-based risk analysis, dynamic challenge generation, and secure retry authorization tokens, creating a policy-enforced checkpoint that operates independently of the underlying AI agent. For CISOs, risk leaders, and compliance teams, the system generates a verifiable, replay-protected audit trail that documents agent decisions and the rationale behind approvals, supporting governance, incident response, and regulatory scrutiny.

Strategically, the patent underpins Eve Security’s push to become core infrastructure for organizations scaling autonomous AI, internal copilots, and automation pipelines across critical business systems. By embedding runtime risk control directly into AI workflows, the company aims to help enterprises prevent costly AI-driven failures before execution, reduce legal and reputational exposure, and align AI behavior with evolving security and ethical policies without slowing adoption. As agentic AI spreads across regulated and data-sensitive industries, Eve’s approach is designed to remove security as a primary blocker and enable controlled, auditable expansion of AI capabilities.