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Securing the Agentic AI Revolution: Episode 3 — Confidential Computing: Establishing Trust in Agent Execution
Send us Fan Mail This 6-part podcast series describes a Defense-in-Depth Security Architecture for Agentic AI based on the principle of bounded autonomy . The architecture defines 10 layers - governance, identity, authorization, agent guardrails, runtime security, model and tool protection, confidential computing, infrastructure security, continuous validation, and security operations. It also includes 3 cross-cutting layers - enterprise agent control plane, security telemetry and observability, and human oversight and accountability. A critical distinction between identity-based trust —knowing which agent is acting —and execution-based trust —knowing what software and hardware environment is actually executing the agent is also presented. Confidential Computing and Trusted Execution Environments (TEEs) provide an important foundation for the latter through hardware-backed isolation and remote attestation. The podcast maps this architecture to an emerging ecosystem of commercial and open-source technologies. The analysis identifies areas in which the market is rapidly developing as well as persistent architectural gaps, particularly around agent-to-agent trust, memory integrity, execution provenance, and the relationship between identity and attested runtime state. Check out the article or interview at www.activecyber.net
