What does the security architecture of AI agents actually look like?

As agent systems move into real workflows, security concerns go beyond
simple prompt guardrails.

From what I’ve been observing, agent security tends to involve several
layers around the orchestration framework:

1 Runtime safety
2 Data protection
3 Execution integrity
4 Auditability
5 Governance

I tried sketching a simple architecture to visualize where these layers
sit relative to the agent runtime.

Curious if this matches what others are seeing in production systems.

I found this white paper to be really helpful on the topic: The Agentic AI Security Scoping Matrix: A framework for securing autonomous AI systems | AWS Security Blog

1 Like

@joy7758 Nice will have a look at it.