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| Section | Objectives |
|---|---|
| AI Lifecycle Controls | - Controls across AI development lifecycle
|
| AI Risk Management | - Risk identification and assessment for AI systems
|
| Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
| Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
| AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
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NEW QUESTION # 133
A risk practitioner discovers that autonomous agents have been creating temporary HR system identities.
Which of the following poses the GREATEST risk?
Answer: C
Explanation:
Autonomous agents creating HR system identities that exist outside the organization's federated identity management system create invisible, unmanaged access pathways. These shadow identities bypass the centralized access governance controls designed to enforce least privilege, monitor access activity, and enable rapid deprovisioning.
Why D is Correct: According to ISACA AAIR identity and access management guidance for autonomous AI systems, identities not incorporated into the federated system pose the greatest risk because they are invisible to access governance processes. Federated identity management provides centralized provisioning, deprovisioning, monitoring, and policy enforcement. Autonomous identities outside this system can accumulate inappropriate access rights, persist after their legitimate purpose expires, and be used for unauthorized actions-entirely outside the organization's visibility.
Why A is Wrong: Breach identification delays are a consequence of the visibility gap created by ungoverned identities, not the root risk. The primary risk is the existence of invisible access pathways; delayed detection is a downstream effect.
Why B is Wrong: Ineffective credential management is a specific implementation problem with known credentials. The greater risk here is identities that the credential management system doesn't know about at all-complete invisibility is worse than imperfect management.
Why C is Wrong: Increased staffing for human validation is an operational resource impact. While relevant to managing autonomous agent oversight, staffing requirements are a manageable operational concern, not the greatest governance risk from ungoverned identities.
NEW QUESTION # 134
Which of the following is the PRIMARY purpose of AI-driven classification controls such as image recognition or text sentiment analysis?
Answer: A
Explanation:
Within the ISACA Advanced in AI Risk framework, life-cycle controls should protect data quality, model design, testing, validation, monitoring, change management, and secure retirement of AI systems.
Classification techniques are designed to assign inputs to defined categories, so their primary operational objective is reliable prediction or categorization. They do not inherently prevent poisoning or determine data quality, and classification is commonly supervised rather than unsupervised. This makes option C, Enhancing predictive accuracy, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
NEW QUESTION # 135
Which of the following BEST helps to ensure an AI system ' s potential human rights harms are managed?
Answer: A
Explanation:
Within the ISACA Advanced in AI Risk framework, governance decisions should align AI use with policy, accountability, stakeholder expectations, risk appetite, and applicable legal or ethical obligations. Potential human-rights harms are best managed through recurring stakeholder engagement in risk treatment because affected people may reveal impacts that technical metrics or internal policy mapping miss. Ongoing participation supports identification, escalation, and remediation of evolving harms. This makes option C, Engaging stakeholders in recurring risk treatment processes, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
NEW QUESTION # 136
An organization deploys an autonomous system that makes decisions affecting compliance with regulations.
If those decisions could potentially produce regulatory breaches, which of the following BEST helps to manage associated liability exposures?
Answer: A
NEW QUESTION # 137
A risk practitioner learns that a credit-scoring AI system is exhibiting bias that cannot be eliminated through further training. Which of the following is the risk practitioner ' s BEST recommendation?
Answer: C
NEW QUESTION # 138
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