AAIA lesson 13: Worked scenarios

Lesson 13 of 13 · 6 min read · Updated October 16, 2026

Scenario questions are solved by three reads: who is the professional (usually the auditor, sometimes an adviser), which stage the system is in, and what the qualifier asks for. The answer that follows is normally the action that produces evidence or reduces exposure in the right order, not the most thorough-sounding one. The scenarios below combine material from all three domains and apply the earlier lessons. This is a study method for working through questions, not a claim about how ISACA builds them.

Reading the scenario

  1. Role. An auditor reports and recommends; management decides and implements. An answer in which the auditor fixes the control is usually wrong.
  2. Stage. Is the system proposed, in development, live or being retired? Pre-deployment points to requirements, approval and validation; live points to monitoring and change; incident points to containment.
  3. Qualifier. FIRST is about sequence, BEST about the strongest among valid options, MOST about weight or significance. Qualifiers can be combined with a role (“the auditor should”) and the stage to narrow the choice.
  4. Evidence test. Prefer records and independent results to statements.
  5. Scope test. If one option widens the view to data, provider or affected people, ask whether the scenario hints at that gap.

Scenario A: the hosted model nobody owns

The insurer lets several teams use a hosted language model through personal API keys to summarise customer letters. No central list of AI use exists. Internal audit is asked for a view.

  • Role: auditor advising the audit committee. Stage: live, unmanaged.
  • Domain 1 (governance): without an inventory and owners the organisation cannot say what is in use, so the first action is to establish what exists (interview, review of spend and network or key records), then ask for the AI policy and risk classification.
  • Domain 2 (operations): the same finding exposes data leaving the organisation and no change notification from the provider.
  • Domain 3 (audit): scope the engagement on a risk-ranked list once the inventory exists.
  • First action: obtain or build the AI inventory with owners and purposes. Testing individual summaries before knowing the population would be premature.

Scenario B: strong accuracy, weak assurance

A lender’s pre-screening model reports 95% accuracy. Complaints suggest younger applicants are refused more often. The model is retrained quarterly.

  • Role: auditor testing operation. Stage: live.
  • Domain 2 (testing): accuracy does not show group-level outcomes, so request group error and approval rates with the fairness measure and its rationale.
  • Domain 2 (change): confirm each retraining was approved and revalidated, and that monitoring covers drift.
  • Domain 1 (ethics and regulation): relate findings to the organisation’s fairness commitments and to anti-discrimination obligations, noting that legal conclusions belong to counsel.
  • Domain 3 (evidence): re-perform group metrics on a stratified extract reconciled to the decision log.
  • First action: obtain group-level outcome evidence. Recommending retraining first would act before the problem is established.

Scenario C: an assistant leaks data

A customer chatbot with access to policy records returned another customer’s details after a crafted message. The service stayed up.

  • Role: auditor reviewing incident handling after the event, or an adviser during it. Stage: incident.
  • Domain 2 (incident): if the incident is live, containment comes first, for example restricting the lookup capability while logs and versions are preserved. If it is closed, review whether the sequence was followed and whether the cause (excess tool permissions) was fixed.
  • Domain 1 (privacy): determine with the privacy function whether notification duties arise; the auditor checks that the assessment was made.
  • Domain 3 (reporting): the report names the control weakness (least privilege, an incident plan with no AI scenarios) and states the version and date examined.
  • First action depends on timing: contain if live; examine incident records if past. Reading the stage is the whole question.

Situation, domain, first action

SituationDomainFirst auditor action
Unknown number of AI tools in use1BEstablish an inventory with owners
No risk assessment before launch1CObtain the assessment or document the gap against policy
Personal data in training set, basis unclear1DAsk for the data inventory and documented lawful basis
Vendor model updated, no change record2CReview change scope and contract notice terms
Reviewers never override2DExamine review procedure, workload, authority
High reported accuracy, diverse users2ERequest group-level results
Training data origin undocumented2ARequest lineage and source agreements
Live harmful output2GContain by restricting the capability
Scope covers only the application3AExtend to data, model version and provider
Log has missing records3BReconcile completeness before sampling
Only management’s statement offered3CSeek records or independent results
AI summary used as evidenceSupporting tasksVerify against the source document

Key points

  • Identify role, stage and qualifier before reading the options.
  • Auditors recommend and report; they do not run or fix the control.
  • FIRST asks for sequence: inventory before testing, containment before root cause.
  • Choose options that create dated, independent evidence over testimony.
  • Widen scope to data, provider and affected people when the scenario hints at them.

Check yourself

Question 1. During a live incident a customer-facing assistant is returning other users' personal data. As an adviser to the incident team, what should be recommended FIRST?

  • A. Commission a full root cause analysis of the training data
  • B. Restrict or disable the affected capability while preserving logs
  • C. Revise the acceptable use policy
  • D. Schedule a review of the supplier contract
Show answer

Answer: B

Containment limits further disclosure while investigation proceeds. Root cause analysis, a policy update and a supplier review are valuable but follow containment.

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Question 2. An organisation says it has 'a few' AI tools. An auditor is asked to plan a review. What is the BEST first step?

  • A. Test the outputs of the most visible tool
  • B. Draft the report structure
  • C. Benchmark against peers’ AI spending
  • D. Establish a complete inventory of AI systems with owners and purposes
Show answer

Answer: D

A reliable inventory with owners and risk classification is the base for risk-based scoping. Testing a single system, writing the report early or benchmarking against peers precedes or bypasses establishing what exists.

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Question 3. A model passed validation at launch. Eighteen months later no revalidation or drift monitoring exists. How should the auditor view current performance?

  • A. As unknown, because nothing evidences it, which is a control weakness
  • B. As unchanged since launch
  • C. As failing
  • D. As adequately evidenced by the launch validation
Show answer

Answer: A

Without monitoring or revalidation, current performance is unknown, which is a control weakness in its own right. Assuming it is unchanged, assuming it has failed, or deferring to launch results are all unsupported.

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Lesson 13 closes the course by combining all three domains; keep the cheat sheet beside the decision table when revising.