Behavioral privacy leakage allows adversaries to infer private constraints from negotiation dynamics like concession trajectories. Apple researchers developed randomized policies to mitigate these inference attacks. This framework prevents opponents from guessing hidden values through observable patterns. The approach secures high-stakes procurement and insurance workflows where traditional cryptography fails to protect behavioral data.