TL;DR: Traditional encryption protects data in transit but fails to secure metadata and internal communication channels, risking sensitive information leaks in multi-agent AI networks. Implementing layered frameworks like AgentCrypt's multi-level encryption, coupled with comprehensive audit coverage, trust boundary enforcement, and secure multi-cloud connectivity, is essential for safeguarding data across distributed environments. Continuous policy enforcement, mutual authentication, and secure computation protocols further strengthen security in autonomous agent systems. Encryption is standard practice, yet autonomous AI agent networks still expose sensitive data every day. The real problem is not whether you encrypt data in transit. It is whether your security model accounts for the entire surface area of a distributed, multi-agent environment.…