Deterministic + Agentic AI: The Architecture Exposure Validation Requires

Organizations are rapidly adopting AI for security testing, but fully agentic AI systems (where AI makes all decisions from start to finish) create a problem: they produce different results each time they run, making it impossible to tell if security actually improved or if the AI just tried a different approach. The source argues that a hybrid model works better, where deterministic logic (fixed, repeatable sequences) defines how security tests execute, while AI enhances specific parts like adapting payloads and interpreting what it finds.