When LLM agents communicate through shared KV caches for efficiency, you need explicit safeguards—LCGuard shows how to block sensitive information leakage at the representation level without breaking task coordination.
LCGuard is a safety framework that protects sensitive information when multiple AI agents share transformer key-value caches to coordinate tasks. It uses adversarial training to transform shared cache data so that agents can't reconstruct each other's private inputs, while keeping the information useful for task performance.