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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Management | 31% | - Regulatory compliance and ethical considerations in AI - AI risk assessment, thresholds, and treatment strategies - AI threat and vulnerability management - AI vendor and supply chain risk management |
| Topic 2: AI Technologies and Controls | 38% | - Privacy, ethics, trust, and safety controls - Data management and protection controls for AI - Security monitoring, testing, and continuous assurance for AI systems - AI lifecycle security: model selection, training, validation, and deployment - AI security architecture and secure design principles |
| Topic 3: AI Governance and Program Management | 31% | - AI security program development and management - AI security policies, standards, and procedures - AI asset and data lifecycle management - Business continuity and incident response for AI systems - AI governance frameworks and alignment with business objectives |
The ISACA Advanced in AI Security Management (AAISM) Exam (AAISM) is available in three easy-to-use forms. The first one is AAISM dumps PDF format. It is printable and portable. You can print AAISM questions PDF or access them via your smartphones, tablets, and laptops. The PDF format can be used anywhere and is essential for students who like to learn on the go.
NEW QUESTION # 228
A large financial institution is integrating a third-party AI solution into its fraud detection system.
Which is the BEST way to reduce AI vendor/supply chain risk?
Answer: D
Explanation:
AAISM emphasizes contractual governance controls as the strongest mechanism for managing AI vendor and supply chain dependencies. Contracts must require:
- secure development lifecycle practices
- documentation of controls
- security testing
- supply chain transparency
NEW QUESTION # 229
An organization deploying an LLM is concerned input manipulations could compromise security.
What is the MOST effective way to determine an acceptable risk threshold?
Answer: C
Explanation:
AAISM instructs that acceptable risk thresholds must be determined using business impact analysis. This aligns with the broader enterprise risk management principle of defining tolerances based on:
- potential harm
- regulatory exposure
- financial impact
- operational disruption
NEW QUESTION # 230
An organization is implementing a large language model (LLM) to answer questions for both employees and customers. The CIO wants the LLM to provide employees with additional internal data that should not be shared with customers. Which of the following is the MOST secure approach?
Answer: B
Explanation:
Retrieval-augmented generation (RAG) combined with access control lists (ACLs) ensures that the LLM retrieves and exposes only the data each user is authorized to access. This approach provides granular, role-based protection of internal information while supporting different data visibility requirements for employees and customers.
NEW QUESTION # 231
A newly hired programmer suspects that the organization's AI solution is inferring users' sensitive information and using it to advise future decisions. Which of the following is the programmer's BEST course of action?
Answer: A
Explanation:
AAISM directs personnel to use established AI governance channels for suspected privacy, ethics, or compliance risks. The governance panel (risk, privacy, legal/compliance, security, product/data science) is chartered to triage, record, investigate, and direct remediation for potential inference of sensitive attributes and resulting decision impacts. Direct technical action (A or C) bypasses due process and accountability; escalating directly to a single executive (B) lacks the structured, cross-functional oversight required for regulated and ethical AI risk handling.
References:AI Security Management™ (AAISM) Body of Knowledge: AI Governance Operating Model; Roles & Responsibilities; Risk Intake and Triage for Privacy/Inference Risks.AAISM Study Guide: Ethics & Responsible AI Escalation Pathways; Governance Board Procedures; Documentation and Decision Records.
NEW QUESTION # 232
An organization has discovered that employees have started regularly utilizing open-source generative AI without formal guidance. Which of the following should be the CISO's GREATEST concern?
Answer: A
Explanation:
The greatest immediate risk from unsanctioned use of public or open-source generative AI tools is data leakage--employees may paste confidential or regulated information into third-party systems, resulting in loss of confidentiality, regulatory exposure, and loss of intellectual property.
AAISM emphasizes that when AI use occurs outside approved channels, the top control priority is preventing exfiltration of sensitive data via prompts, attachments, and context sharing. Monitoring and policy are necessary enablers, but leakage is the highest-impact failure mode in the short term; hallucinations primarily affect accuracy, not confidentiality.
NEW QUESTION # 233
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