The Patience Attack: Why LLM Guards Fail Over Time

AI security isn't about blocking one exploit—it's about designing systems that don't degrade over time. This analysis reveals that while individual prompt injections are largely patched, systematic guardrail decay succeeds against 67% of models through multi-turn conversations, proving that attackers need patience, not perfection. For any team deploying conversational AI, this means defensive strategy must evolve from protecting against isolated attacks to monitoring and maintaining conversation-level resilience.