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Intruder says rigid methodology hampers AI pentesting agents

Intruder, the company behind an AI-driven pentesting tool, reports that early attempts to assign AI agents strict, narrowly defined vulnerability-hunting tasks caused them to miss issues outside their assigned scope or misclassify findings. Giving agents no structure at all also failed, as unguided agents couldn't properly manage large applications despite occasionally finding interesting issues. The company says it settled on a middle ground: broad roles with freedom to explore, paired with guardrails to prevent damage.