Building an AI Detection Engine That Understands Agent Intent

AI agents in production environments can have their goals manipulated through poisoned inputs, causing them to drift from their intended purpose and potentially cause security breaches. Unlike traditional software, AI agents reason through problems and adapt their approach, so security teams must monitor their full reasoning process and execution path, not just their final outputs, to detect when an agent's intent has been hijacked or shifted maliciously.