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Domain 5 · AI, RAG, Model, and Agentic Security

AI Agent Trust and Prompt-Injection Analysis


Model the agent trust graph — tool, data and model permissions, autonomy, persistence, approvals, external communication and code execution — and the path from untrusted input through the model and a tool to a privileged action.

Classification

NATIVE

Maturity

RESEARCH_ONLY_AND_RESTRICTED_VALIDATION

Authorization

Level 0 to Level 1, synthetic environments only

Decision it answers

Which agents exist, what can they reach, and what is the maximum blast radius if one is manipulated?

Inputs it needs

  • Agent inventory with assumed identities
  • Tool and connector permission scopes
  • Retrieval sources, corpora and vector stores
  • Approval and autonomy configuration

Methods applied

  • Agent trust-graph construction
  • Untrusted-input to privileged-action tracing, focused on trust boundaries rather than prompt filtering alone
  • Irreversibility weighting of available actions
  • Autonomous action budget and approval-threshold modelling

Outputs produced

  • Agent blast-radius statement
  • Trust-boundary violations
  • Actions requiring human approval on irreversibility grounds
  • Residual uncertainty and validation status

Must remain human-owned

Authorization, acceptance of residual risk, containment decisions, disclosure and notification, and any communication to a board or regulator. No analytical capability creates operational authority.