Behavioral privacy leakage allows adversaries to infer private constraints from negotiation dynamics like concession trajectories. Apple researchers formalized these inference attacks and proposed randomized policies to mitigate the risk. This approach protects sensitive data that standard cryptography misses. Practitioners must now weigh the trade-off between negotiation efficiency and behavioral anonymity in autonomous systems.