Agent evaluation and assurance

Adversarial agent evaluation

Understand how an agent responds to deliberately difficult task conditions

Ordinary tests omit misleading requests, contradictory evidence or pressure to overstep. The decision is how to understand how an agent responds to deliberately difficult task conditions. 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 product security and evaluation leads. A useful outcome is an explicit account of what was examined, what remains uncertain, and which decision the evidence can support.

The release evidence relationship

  1. Starting evidenceAuthorised attack scenarios

    Establish the basis for requester influence.

  2. Decision boundaryProtected action

    Name the prohibited business effect.

  3. Decision artefactAdversarial case register

    Retain the scoped finding and its unresolved dependencies.

Proposed working model. The customer retains the release decision.

Decision

Frame the decision around requester influence

Questions and the evidence they need

Criterion / evidenceRequester influence
Inspect authorised attack scenarios for the relevant constraint or observation.
Criterion / evidenceProtected action
Inspect protected actions for the relevant constraint or observation.
Criterion / evidenceTool enforcement
Inspect synthetic records for the relevant constraint or observation.
Read each criterion against the available evidence before deciding that additional work is needed.

The decision is how to understand how an agent responds to deliberately difficult task conditions. This is relevant to product security and evaluation leads when ordinary tests omit misleading requests, contradictory evidence or pressure to overstep. 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 the agent abandons an approved boundary after repeated persuasion or conflicting instructions. 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

Challenge the action boundary behind the refusal

Relationships within release evidence

Source or conditionRequester influence
Declare which instructions the test can change.
Crossing or choiceProtected action
Name the prohibited business effect.
Consequence or decisionTool enforcement
Distinguish attempted misuse from an executed operation.
Keep case coverage linked to the release question. Each relationship needs evidence in the actual scope.

What this specialty examines

Adversarial cases should begin with a protected business boundary. Define what the requester controls, the action being sought and the result that would count as a control failure. Difficult wording alone is not the outcome; observe whether authority or business state changed.

The review should exercise controlled misuse and ambiguity cases, tracking whether harmful action was attempted or actually executed. 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, realistic challenge reveals failure paths but requires explicit limits on systems, data and actions. 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 requester influence

Illustrative working format

BasisAuthorised attack scenarios
Bound the starting influence, protected effect, authorised surface, and stopping rule.
ContextProtected actions
Check its relationship to the relevant workflow and expose missing context.
ObservationSynthetic records
Keep expected behaviour and the limits of the constructed example explicit.
DependencyEscalation rules
Confirm the applicable revision and who resolves disputed interpretation.
Illustrative preparation record. Availability, revision, and handling need confirmation.

Start with authorised attack scenarios, protected actions, synthetic records and escalation 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 release owner, agreed expectations for a representative task case, and the authority to inspect the relevant boundary. Specify what evidence would distinguish the failure in which the agent abandons an approved boundary after repeated persuasion or conflicting instructions 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 requester influence through to an accountable finding

From the scoped material to a decision record

  1. Establish conditionsAuthorised attack scenarios

    Separate hard constraints from graded preferences.

  2. Examine the relationshipProtected action

    Apply the scoped check to tool enforcement.

  3. Retain the findingAdversarial case register

    Record the evidence, open dependencies, and the owner’s next decision.

Proposed sequence; resolve interpretation or access gaps before relying on the next step.

Prepare the evaluation cases

Work with product security and evaluation leads to assemble authorised attack scenarios, protected actions, synthetic records and escalation rules. Select a normal task, a consequential exception and a case with insufficient information. Identify the relevant requirement and expected result for each, then mark which outcomes need human adjudication. The preparation output is a case packet that separates blocking behaviour from graded quality preferences before any comparison is run.

Run and review the comparisons

Include attempts that are refused, partially followed and blocked by tools. These distinctions show which layer deserves credit and which weakness remains. A refusal followed by an unauthorised background action should not be recorded as a successful defence.

Choose the release or evaluation change

Use the reviewed cases to produce an adversarial case register and evidence-backed account of observed boundary behaviour. Distinguish a product defect from a missing test, an ambiguous requirement or an unreliable measuring method. For each, name the proposed correction and the case that would check it. The release owner can then decide whether to change the implementation, improve coverage or restrict the intended use while a specific gap remains.

Indicative artefact

Make the adversarial case register usable by its owner

Adversarial case register

Illustrative working format

Annotated fieldAdversarial case register
Identify the assessed workflow, revision, and decision boundary.
Annotated fieldEvidence-backed account of observed boundary behaviour
Link observations and counterevidence to the case, configuration, and conclusion limit.
Annotated fieldProtected action evidence
Name the missing evidence, responsible owner, and condition for revisiting the decision.
Illustrative artefact structure, not a completed engagement or an observed result.

A useful decision artefact is an adversarial case register and evidence-backed account of observed boundary behaviour. 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 tool enforcement through a constructed exception

A constructed case and its decision paths

Illustrative scenario

  1. SituationRequester influence

    Repeated pressure asks a support assistant to make a restricted amendment.

  2. Question to examineProtected action

    Compare the refusal with later tool execution.

  3. Conditional next actionTool enforcement

    Change action enforcement if persuasion still produces the prohibited effect.

Fictional example. No executed test, customer engagement, or measured outcome is implied.

Consider a fictional situation: an illustrative requester repeatedly reframes a restricted account change as an urgent support correction. The scenario is illustrative, with no client engagement, executed test or measured improvement implied.

For repeated support pressure, use fictional accounts and a prohibited amendment that cannot affect a real person. Compare the initial refusal with later tool activity. The owner can then decide whether stronger action enforcement or better escalation behaviour is the relevant next change.

Scope and next action

Keep the conclusion within selected task cases

Confirm fit before the next commitment

Included boundaryRequester influence
This review is limited to selected task cases.
PrerequisiteAuthorised attack scenarios
The relevant owner must confirm access and the intended operating conditions.
Claim limitAdversarial case register
The customer retains the release decision.
Bring the triggering change and existing evidence; resolve the dependency that could alter the decision.

A result applies to the recorded configuration and selected cases. It does not establish universal agent competence or authorise release. 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 ordinary tests omit misleading requests, contradictory evidence or pressure to overstep; confirm which missing observation would change the owner’s next action.

Ways to engage

Related engagement scopes

AI Agent Evaluation Evidence Diagnostic

Find the gaps between your release decision and the evidence behind it. Start with one agent workflow and a bounded set of questions.

Read about this offer: AI Agent Evaluation Evidence Diagnostic

AI Agent Evaluation Foundation

Turn scattered tests into a repeatable release discipline. Connect the behaviours that matter to datasets, evaluation criteria and evidence your team can maintain.

Read about this offer: AI Agent Evaluation Foundation

AI Long-Horizon Agent Evaluation

Examine what changes when an agent keeps working. Evaluate accumulated state, recovery and goal adherence across extended tasks.

Read about this offer: AI Long-Horizon Agent Evaluation

Continue exploring

Related insights and resources

Whitepaper16 MIN READ

Engineer the harness, not just the prompt

Define the contracts around an agent's decisions: what state it trusts, which actions can execute, how interrupted work resumes, and what evidence an operator needs to recover safely.

Whitepaper15 MIN READ

What would justify releasing this agent?

Replace a single pass rate with a reviewable chain of requirements, cases, observations and judgements. Distinguish task quality, control failures and uncertainty before increasing an agent's exposure.

Whitepaper5 MIN READ

The evidence behind the go-live decision

A working paper for leaders who need to explain why an agent workflow is ready for its next release. Includes a proposed evidence-pack structure, decision table and review agenda.

A little more clarity

Questions to consider.

Start with the questions that shape a better decision.

How is this different from ordinary edge-case testing?

Adversarial evaluation deliberately examines an actor's attempt to cross a protected boundary. Ordinary edge cases may be difficult without being adversarial. State attacker control and inspect consequential actions so the distinction is operationally useful.

Which threat assumptions define adversarial cases?

Start with authorised attack scenarios, protected actions, synthetic records and escalation rules. Record their revision, owner and relationship to the intended workflow. Missing context should be identified before interpreting outcomes; a sanitised fixture is useful only when its relevant differences from the operating case are understood.

How should attempted and executed misuse differ in results?

Exercise controlled misuse and ambiguity cases, tracking whether harmful action was attempted or actually executed. Keep task correctness, permitted action and final state distinct. Review scoring disagreements against the agreed rubric. Include valid alternatives so the cases do not reward superficial sequence matching or rejection of every difficult request.

What should an adversarial case register preserve?

The proposed output is an adversarial case register and evidence-backed account of observed boundary behaviour. Include the selected conditions, supporting observations, unresolved differences and next decision. A reviewer should be able to follow each important conclusion back to its evidence and understand the limits without depending on an undocumented explanation from the author.

When should the challenge scope be narrowed?

Narrow the scope when systems, data, actions or techniques exceed agreed authorisation or qualified capacity. Keep the unresolved threat visible and identify the separate review needed rather than implying it was tested.

What if existing evidence already answers the question?

Review its scope, provenance and configuration before proposing new work. Existing work from product security and evaluation leads may already be sufficient. In that case, capture the decision, unresolved limitations and the change that would require another review. Additional assessment should address a real gap.

What would make the findings inconclusive?

Missing authorised attack scenarios, protected actions, synthetic records and escalation rules can prevent a reliable interpretation, depending on the case. Record the specific missing observation and its implication. The owner can supply evidence, narrow the claim or defer the dependent decision; an incomplete case should not silently be counted as a pass.

Start with the decision you need to make.

Tell us about the agent workflow you want reviewed, and where you need greater clarity. Scope and availability are confirmed together.

Connected disciplines