Adversaries can infer private constraints from a negotiation agent's concession trajectories and timing. Apple researchers formalized these behavioral privacy leaks and proposed randomized policies to mitigate inference attacks. This approach protects sensitive data that standard cryptography misses. Developers must now account for behavioral leakage when deploying autonomous agents in high-stakes procurement or insurance.