We explore how AI systems can automatically mutate and refine their own prompts to bypass defenses more effectively over time, showing how repeated adversarial testing dramatically increases jailbreak success rates. Through this process, it becomes clear why static guardrails and fixed policy layers quickly collapse when faced with recursive, adaptive probing. Finally, we examine what this means for modern agentic AI systems that have access to tools, APIs, and privileged permissions and why their expanding capabilities demand a fundamentally different approach to security and oversight.
