When AI Goes Off-Script

Traditional software is predictable: same input, same output. AI-native applications don’t play by those rules. Even under identical conditions, they can respond differently with each execution, a property known as non-determinism that fundamentally challenges traditional AppSec practices. When an AI model’s outputs evolve or vary, instability ripples across every layer of security. Validation pipelines lose reliability, compliance testing becomes inconsistent, and attackers exploit the gaps between variations that human reviewers or automated scanners couldn’t anticipate. Download this guide to discover why AI-native systems require a new approach, one that acknowledges unpredictability as a feature and focuses on managing it rather than eliminating it.