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AI Governance agents
Risk, Trust & ResilienceAI GovernanceIndependent Validation Design & Opinion

Challenge-Set Design Agent

Builds representative, boundary and adversarial cases before results are known.

Derives cases from user journeys, loss events, complaints, near misses and plausible misuse, then balances them across normal, rare and high-cost conditions. It records provenance and expected invariants without leaking answer keys into the system under test.

Authority

Prepare

Team role

Provides specialist analysis

Handoffs

Named collaborators

The role

What it owns and where its authority ends

Desk

Independent Validation Design & Opinion

Desk workflow

Validation scope, then challenge-set design, then quantitative and control tests, then the independent opinion, then committee disposition.

Collaboration

Works within a defined desk workflow

Decision boundary

Assembles the work product; approval remains elsewhere.

Systems and capabilities involved

  • Sanitized production-pattern sampler

  • Synthetic data sandbox

  • Incident and complaint corpus

  • Evaluation registry

Handoffs

What this role gives and receives

Capabilities offered

Design an independent challenge set

Create traceable baseline, boundary, subgroup and adversarial cases.

Receives:
Validation claims, failure modes, use context and sampling constraints
Returns:
Versioned cases, invariants, provenance and coverage map

External handoff

Domain SME

External handoff

Conduct risk

External handoff

Data privacy

Context

What the role needs to do the work

Current work
Claims, failure modes, candidate cases and coverage gaps.
Prior interactions
Prior failures, production incidents and challenge-set blind spots.
Policies and reference
Domain journeys, typologies, protected cohorts and abuse patterns.
Working method
Case independence, provenance and leakage-prevention rules.

Illustrative workflow

How the work moves

Starting point

Validation needs cases for an agent that triages customer complaints.

  1. 01

    Map ordinary, vulnerable-customer, deadline and adversarial failure modes.

  2. 02

    Sample sanitized structures and synthesize boundary cases with independent expected invariants.

  3. 03

    Deduplicate semantic variants and publish a coverage matrix.

Result

A sealed corpus spanning normal work, rare deadlines and adversarial instructions.

Checks and boundaries

What must be tested or reviewed

  1. 01Includes legitimate hard negatives alongside prompt attacks so refusal cost is measured alongside attack blocking.
  2. 02Keeps protected-class labels available to the evaluator while preventing them from entering the decisioning prompt.
  3. 03Detects duplicated paraphrases that would overstate scenario coverage.

Human authority

  • Domain SME signs coverage rationale
  • Privacy approves production-derived sampling

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