Beyond Encryption: Securing the Hidden Channels of Multi-Agent AI

While standard encryption secures data in transit, multi-agent AI networks remain vulnerable to metadata leaks and internal communication exposures that traditional models overlook. Adopting specialized frameworks and multi-layered trust boundaries is critical to preventing sensitive data leakage in increasingly distributed autonomous systems.