Shah AI Security Lab / Labs

ASL-014Planned

Unsafe Delegation

Testing how authority and identity propagate when one agent delegates a sub-task to another agent or automated process.

Category
Agentic AI Security
Difficulty
Advanced
Last Updated
20 September 2026
  • agentic-ai
  • delegation
  • multi-agent

Lab detail

Objective

Multi-agent and agent-to-automation designs delegate sub-tasks downstream, and that delegation has to carry (or deliberately not carry) the original identity, authority and constraints. This lab will build a small reference two-agent chain and test what happens when a delegated sub-task is manipulated, or when the receiving agent trusts the delegating one more than it should.

Planned Scope

  • Build a reference two-agent (or agent-to-automation) delegation chain with a defined task.
  • Test whether the delegated identity/authority is scoped correctly at each hop.
  • Test manipulation injected at the point of delegation, not just at the original entry point.
  • Document delegation patterns (explicit scoping, re-authorization, audit trail) that hold up.

Framework Mapping

Referenced frameworks

Exact control-ID mappings are to be validated as this lab progresses — see the full Frameworks reference.

  • OWASP Top 10 for Agentic Applications
  • MITRE ATLAS

Responsible Use / Safety Notes

How this lab is run

This lab uses synthetic data and controlled environments. It is intended to demonstrate defensive AI-security principles and does not contain customer data, production credentials or intentionally weaponized exploit infrastructure.

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