Adversaries can infer private constraints from an agent's concession trajectories and timing. Apple researchers formalized these behavioral privacy leaks and proposed randomized policies to mitigate inference attacks. This framework protects sensitive data in high-stakes procurement and insurance settings. Practitioners must now balance negotiation efficiency against the risk of strategic data leakage.