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ISACA AAISM Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Governance and Program Management31%- AI asset and data lifecycle management
  • 1. AI asset inventory and management
  • 2. Data governance
- AI security program management
  • 1. Program development and maintenance
  • 2. Incident response and business continuity
- AI policies and procedures
  • 1. AI-related strategy development
  • 2. Policy implementation and compliance
- Stakeholder considerations and governance frameworks
  • 1. Industry frameworks and regulatory requirements
  • 2. AI governance models and oversight
Topic 2: AI Technologies and Controls38%- Data management and privacy controls
  • 1. Data integrity and protection
  • 2. Privacy and ethical AI controls
- AI security monitoring and operations
  • 1. Operational AI controls
  • 2. Security monitoring and logging
- AI security architecture and design
  • 1. AI infrastructure protection
  • 2. Secure AI system architecture
- Trust, safety and compliance controls
  • 1. Responsible AI practices
  • 2. Compliance and governance validation
Topic 3: AI Risk Management31%- AI threat and vulnerability management
  • 1. AI vulnerability assessment
  • 2. Threat modeling for AI systems
- AI risk assessment and treatment
  • 1. Risk identification and analysis
  • 2. Risk thresholds and mitigation
- Third-party and supply chain risk management
  • 1. Supply chain security controls
  • 2. Vendor risk evaluation

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ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q247-Q252):

NEW QUESTION # 247
Which of the following is the MOST effective control to prevent malicious modification of AI chatbot outputs?

Answer: B

Explanation:
A governance AI model trained on known attack patterns can dynamically detect and block malicious attempts to manipulate chatbot outputs, including prompt injection and adversarial input techniques. This provides adaptive, real-time protection that is more effective than static filtering or user training alone.


NEW QUESTION # 248
During the deployment of a generative AI platform, a risk assessment highlighted threats such as data leakage and prompt manipulation. Which of the following is the BEST way to ensure appropriate control selection?

Answer: D

Explanation:
AAISM requires that control selection be threat-led and context-specific, aligning AI threats to the organization's existing enterprise control catalogs (security, privacy, resilience) and augmenting them with AI- specific safeguards where coverage is insufficient. This ensures consistency with the risk appetite, removes duplication, and closes AI-unique gaps (e.g., prompt injection, data leakage from context windows, model misuse). Generic reliance on vendors or uncustomized external frameworks does not ensure fit-for-purpose coverage, and deferring control selection to post-deployment contradicts proactive risk treatment.
References: AI Security Management™ (AAISM) Body of Knowledge - Governance & Program Controls; Control Selection and Tailoring; Threat-to-Control Mapping for AI Systems; Risk Appetite & Control Assurance Alignment.


NEW QUESTION # 249
Which of the following AI-specific security monitoring metrics BEST enables the real-time detection of attempts to evade an AI model?

Answer: C

Explanation:
Evasion attacks typically involve crafted anomalous inputs designed to manipulate the AI model into producing incorrect or unexpected outputs. Monitoring for anomalous input patterns that result in unusual model behavior provides the most effective real-time indicator of attempted evasion attacks.


NEW QUESTION # 250
Which of the following is the BEST way to reduce the risk of misuse of an AI agent that has access to critical data and systems?

Answer: A

Explanation:
AAISM frameworks highlight output-based controls, including output filtering, restriction validation, and policy-aligned guardrails as primary defenses for AI agents with high privileges. Ensuring the agent does not output unauthorized instructions or sensitive data directly mitigates misuse.


NEW QUESTION # 251
An organization is adopting an agentic AI solution from an external vendor to support its internal IT operations. To evaluate the security posture of this system, which of the following provides the MOST reliable and independently verifiable evidence of implemented security controls?

Answer: A

Explanation:
Third-party audit reports provide independent assurance that the vendor's stated controls are designed and operating effectively against recognized criteria. Such attestations (e.g., audit/assurance frameworks) are traceable, repeatable, and verifiable, and they support supply-chain risk reviews and contractual assurance.
Internal red-team reports are not independent, industry "peer reviews" are not control attestations, and whitepapers are marketing/educational materials without evidence of control operation.
References: AI Security Management™ (AAISM) Body of Knowledge: Third-Party & Supply-Chain Assurance; Independent Assessment and Audit Evidence; Vendor Risk Management. AAISM Study Guide:
Assurance Artifacts for AI Services; Evaluating External AI Providers.


NEW QUESTION # 252
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