Cross-agent attack analysis
Identify how one agent can manipulate another agent's decisions
External or lower-trust agents participate in a shared workflow. The decision is how to identify how one agent can manipulate another agent's decisions. The work begins with your actual workflow and looks for the evidence that separates intended behaviour from a consequential exception. It is particularly relevant to multi-agent security architects and coordination owners. A useful outcome is an explicit account of what was examined, what remains uncertain, and which decision the evidence can support.
The agent security relationship
- Agent roles
Establish the basis for compromised role.
- Message provenance
Check the origin of delegated instructions.
- Cross-agent attack map
Retain the scoped finding and its unresolved dependencies.
Decision
Frame the decision around compromised role
Questions and the evidence they need
- Compromised role
- Inspect agent roles for the relevant constraint or observation.
- Message provenance
- Inspect message provenance for the relevant constraint or observation.
- Receiving boundary
- Inspect shared resources for the relevant constraint or observation.
The decision is how to identify how one agent can manipulate another agent’s decisions. This is relevant to multi-agent security architects and coordination owners when external or lower-trust agents participate in a shared workflow. Name the affected workflow, the consequence of a wrong decision, and the owner who can act on the result. The initial discussion should establish which evidence is already available and which uncertainty is material enough to investigate.
The specific failure hypothesis is that a compromised participant sends a fabricated reviewer conclusion that the coordinator treats as approval. It remains a hypothesis until examined in the deployment. Existing internal tests or operating records may already resolve it; identify the uncovered question before commissioning additional work.
Mechanism
A peer message should not inherit the sender's claimed authority
Relationships within agent security
- Compromised role
- Define the participant assumed under attacker control.
- Message provenance
- Check the origin of delegated instructions.
- Receiving boundary
- Limit downstream action to verified authority.
What this specialty examines
Cross-agent attack analysis treats messages and specialist outputs according to their origin and authority. An agent’s statement that a review passed is not automatically an accountable approval. Identify which participants can recommend, verify, approve or execute.
The review should model attacker control by participant and test synthetic misleading messages across role boundaries. Identify the normal route, relevant exceptions and the authoritative record of the outcome. Inspect the relevant business-system record, enforcement event or process evidence alongside any reported status. Keep incomplete cases visible, with an explanation of what their absence prevents the owner from concluding.
The tradeoff to make explicit
For this decision, specialized collaboration improves coverage while role labels need enforceable meaning. Compare the available design or operating choices against the same intended outcome. If one option removes a required control or changes the task boundary, describe that difference before treating its apparent simplicity, speed or lower effort as an improvement. The decision should expose the tradeoff instead of burying it in an aggregate score.
Preparation
Connect the working inputs to the boundary being examined
Evidence packet for compromised role
Illustrative working format
- Agent roles
- Identify the accountable role and verify its decision rights or availability.
- Message provenance
- Connect the deployed artefact to its inputs, approval, and verifiable revision.
- Shared resources
- Establish permitted access, provenance, and which task conditions it represents.
- Delegation rules
- Locate transfer of responsibility, permitted authority, and unfinished-work ownership.
Start with agent roles, message provenance, shared resources and delegation rules. Identify the owner, revision and operating context of each source. Sanitised examples may support initial design, but differences from actual conditions should remain explicit. Where direct access is unsuitable, a customer-controlled evidence or execution route may be considered, with agreed handling and retention.
The scope also needs the security decision owner, agreed expectations for a representative threat scenario, and the authority to inspect the relevant boundary. Specify what evidence would distinguish the failure in which a compromised participant sends a fabricated reviewer conclusion that the coordinator treats as approval from acceptable behaviour. If stakeholders disagree about intended behaviour, resolve the interpretation before classifying the observed difference as a defect.
How the work proceeds
Carry compromised role through to an accountable finding
From the scoped material to a decision record
- Agent roles
Define the hypothetical attacker’s starting influence.
- Message provenance
Apply the scoped check to receiving boundary.
- Cross-agent attack map
Record the evidence, open dependencies, and the owner’s next decision.
Define the controlled threat scenario
Review agent roles, message provenance, shared resources and delegation rules with multi-agent security architects and coordination owners. State what the hypothetical attacker controls, the protected action and the systems included in the authorised exercise. Prepare synthetic records and harmless markers where appropriate, with stopping conditions for unexpected effects. The preparation output is a scenario brief that distinguishes an influence attempt from a prohibited action actually reaching a business resource.
Challenge the path and review effects
Test misleading role claims, fabricated evidence references and conflicting conclusions under controlled conditions. Track how the coordinator resolves disagreement and whether it checks provenance before granting additional authority. Preserve uncertainty instead of forcing consensus.
Select a control response and retest
Build a cross-agent attack map with message-authenticity and authority findings from the reviewed observations. Separate agent behaviour, application enforcement and the resulting resource state so the recommended change reaches the responsible layer. Choose a bounded retest that reproduces the original condition and checks legitimate behaviour after remediation. If the required investigation exceeds the agreed technique or expertise, retain the unresolved path and identify the qualified review needed.
Indicative artefact
Make the cross-agent attack map usable by its owner
Cross-agent attack map
Illustrative working format
- Cross-agent attack map
- Identify the assessed workflow, revision, and decision boundary.
- Message-authenticity
- Link supporting and contrary observations to inspectable evidence.
- Authority findings
- Link observations and counterevidence to the case, configuration, and conclusion limit.
A useful decision artefact is a cross-agent attack map with message-authenticity and authority findings. Supporting material may include selected cases, configuration or process records, evidence references, a disagreement log and prioritised actions. Retain the case selection rationale and material disagreements alongside the result; otherwise the result may be mistaken for complete coverage.
Illustrative scenario
Examine receiving boundary through a constructed exception
A constructed case and its decision paths
Illustrative scenario
- Compromised role
A specialist sends a misleading instruction to a more privileged coordinator.
- Message provenance
Trace the specialist message's origin and claimed delegation.
- Receiving boundary
Require verified authority before the coordinator follows the instruction.
Consider a fictional situation: a research agent’s output is formatted like a security review and a coordinator treats it as permission to proceed. The scenario is illustrative, with no client engagement, executed test or measured improvement implied.
For the false security review, require an approval source that the research agent cannot manufacture. The coordinator may still use the research as input, but should not promote it into permission. That distinction belongs in both contracts and enforcement.
Scope and next action
Keep the conclusion within the agreed threat scenario
Confirm fit before the next commitment
- Compromised role
- This review is limited to the agreed threat scenario.
- Agent roles
- The relevant owner must confirm access and the intended operating conditions.
- Cross-agent attack map
- A bounded challenge cannot establish exhaustive protection.
Authorised scenario testing is not a claim of exhaustive penetration testing or guaranteed protection. Intrusive security work requires qualified specialists and a separately agreed scope. Any engagement depends on an agreed scope, qualified team, authorised access and confirmed availability. Bring the affected workflow, its current configuration or process, the triggering change and the evidence already available. The immediate scope question is prompted by the situation in which external or lower-trust agents participate in a shared workflow; confirm which missing observation would change the owner’s next action.
Ways to engage
Related engagement scopes
Agent Release Readiness Review
The Agent Release Readiness Review is a fixed-scope, three-week independent test of one AI agent workflow that shows a release board what the agent does, what it is allowed to do and what happens when it is wrong, and ends in a signed recommendation.
AI Agent Runtime Security Review
Make every delegation explicit. Examine who the agent acts for, where it can execute and which tools it can reach when instructions alone are not enough.
AI Agent Red Team
Challenge the boundaries that matter to your workflow. Test agreed attack scenarios against agent instructions, tools and data access.
Continue exploring
Related insights and resources
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Before your agent can act, define its authority
A working paper for the moment an AI system moves from advice to action. Map identity, permissions, approvals and recovery into an authority model your team can review and test.
Running an AI-agent incident tabletop exercise
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