Peer pressure drives AI agents to break their own rules

Check Point Research measures that an AI agent jumps from 44% to 98% rule violations when eight of its teammates reverse their decision to comply, without any of them asking it to. The lesson: in multi-agent systems, guardrails must sit outside the model, judging actions rather than explanations.