AI agents cause unseen chaos engineering failures

Autonomous AI agents in production are creating infrastructure failures that enterprises are not tracking, as their actions are not categorized within existing incident response frameworks. While 79% of organizations use AI agents, many lack robust risk controls, leading to situations where agents initiate technically correct but contextually flawed actions. These actions can cascade into system-wide failures, especially when the agent's limited view doesn't account for concurrent system stresses or dependency states. This gap between agent autonomy and chaos engineering principles is a growing concern, with Gartner predicting a significant portion of AI projects may be canceled due to poor risk management.