Behavioral privacy leakage allows adversaries to infer private constraints from negotiation trajectories and timing. Researchers at Apple developed randomized policies to mitigate these inference attacks in autonomous systems. This approach protects sensitive data that standard cryptography misses. Practitioners must now account for behavioral signals when deploying negotiation agents in high-stakes procurement or insurance settings.