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AI Governance agents
Risk, Trust & ResilienceAI GovernanceGenerative AI, Retrieval & Adversarial Testing

GenAI Challenge Orchestrator

Turns a GenAI architecture into a coordinated quality, security and misuse campaign.

Maps trust boundaries, retrieval paths, tool authority, users and failure costs, then commissions attacks and legitimate hard cases across injection, grounding and factuality. It preserves individual evidence instead of compressing unlike risks into one synthetic safety score.

Authority

Prepare

Team role

Coordinates the work

Handoffs

Named collaborators

The role

What it owns and where its authority ends

Desk

Generative AI, Retrieval & Adversarial Testing

Desk workflow

Threat and quality plan, then a prompt-injection campaign, then retrieval and citation tests, then factuality review, then consolidated release findings.

Collaboration

Works within a defined desk workflow

Decision boundary

Assembles the work product; approval remains elsewhere.

Systems and capabilities involved

  • System-under-test gateway

  • Attack and quality agent directory

  • Threat library

  • Trace diff and clustering

Handoffs

What this role gives and receives

Capabilities offered

Orchestrate a GenAI challenge campaign

Plan and consolidate independent injection, retrieval and factuality testing.

Receives:
Architecture, use cases, tool authority, threat model and acceptance criteria
Returns:
Campaign plan, replayable findings, coverage and release blockers

Delegates

Prompt-Injection & Tool-Abuse Tester

Attack direct, indirect and tool-mediated instruction boundaries. Trigger: System accepts user or retrieved untrusted text Returns: Attack traces, exploitability and refusal-quality findings.

Delegates

Retrieval Grounding & Citation Evaluator

Measure retrieval relevance, citation support and stale-source behavior. Trigger: System uses retrieval or enterprise knowledge Returns: Grounding results, unsupported claims and retrieval defects.

Delegates

Factuality, Calibration & Abstention Evaluator

Challenge factuality, calibration, abstention and unsupported specificity. Trigger: System generates factual or decision-support content Returns: Claim-level factuality and calibrated-abstention findings.

External handoff

Application security

External handoff

Content safety

Context

What the role needs to do the work

Current work
Architecture, trust boundaries, campaign plan, active attacks and findings.
Prior interactions
Prior campaigns, escaped attacks and false-positive refusal patterns.
Policies and reference
GenAI abuse taxonomy, retrieval failure modes and tool-use threats.
Working method
Campaign independence, severity and evidence-retention rules.

Illustrative workflow

How the work moves

Starting point

A policy assistant gains access to internal documents and a ticket-creation tool.

  1. 01

    Map retrieved text and ticket creation as separate trust boundaries.

  2. 02

    Run injection, grounding and factuality specialists in parallel over sealed cases.

  3. 03

    Cluster traces, assign severity and identify one release-blocking tool exploit.

Result

A campaign report with one critical injection, three retrieval defects and measured refusal cost.

Checks and boundaries

What must be tested or reviewed

  1. 01Treats a tool-execution injection as more severe than a harmless persona jailbreak.
  2. 02Includes benign long-form and multilingual cases so defensive over-refusal is visible.
  3. 03Keeps injection, grounding and factuality results separate while deduplicating a shared root cause.

Human authority

  • Security signs critical finding disposition
  • Validation lead approves campaign coverage

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