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ISACA AAISM Exam Overview:

Certification Vendor:	ISACA
Exam Name:	Advanced in AI Security Management (AAISM) Exam
Exam Number:	AAISM
Passing Score:	450/800
Real Exam Qty:	90
Available Languages:	English, Spanish
Exam Price:	USD 459 (member) / USD 599 (non-member)
Certificate Validity Period:	3 years (continuing professional education required for renewal)
Exam Format:	Multiple-choice questions
Exam Duration:	150 minutes
Related Certifications:	CISSP CISM
Recommended Training:	ISACA Official Training & Review Materials
Exam Registration:	ISACA AAISM Credentialing Page
Sample Questions:	ISACA AAISM Sample Questions
Exam Way:	Computer-based exam (online proctored or authorized test center)
Pre Condition:	Recommended: Active CISM or CISSP certification and experience in IT/security management or advisory roles
Official Syllabus URL:	https://www.isaca.org/credentialing/aaism

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ISACA AAISM Exam Syllabus Topics:

Topic	Details
Topic 1	AI Risk Management: This section of the exam measures the skills of AI Risk Managers and covers assessing enterprise threats, vulnerabilities, and supply chain risk associated with AI adoption, including risk treatment plans and vendor oversight.
Topic 2	AI Governance and Program Management: This section of the exam measures the abilities of AI Security Governance Professionals and focuses on advising stakeholders in implementing AI security through governance frameworks, policy creation, data lifecycle management, program development, and incident response protocols.
Topic 3	AI Technologies and Controls: This section of the exam measures the expertise of AI Security Architects and assesses knowledge in designing secure AI architecture and controls. It addresses privacy, ethical, and trust concerns, data management controls, monitoring mechanisms, and security control implementation tailored to AI systems.

ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q152-Q157):

NEW QUESTION # 152
An organization uses a vendor's AI service to screen job applicants. The master service agreement includes a clause related to accountability models. Which of the following is the PRIMARY purpose of this clause in managing AI-specific risk?

A. To ensure the vendor's AI model is built using a specific pre-approved framework
B. To establish the financial model for how the company will pay for the vendor's API usage
C. To explicitly define the responsibilities of the involved parties
D. To provide the company with a full copy of the vendor's source code for independent auditing

Answer: C

Explanation:
Accountability clauses in AI service agreements are primarily intended to clearly define the responsibilities, obligations, and liabilities of each party involved in the use, operation, governance, and oversight of the AI system. This helps manage AI-specific risks related to compliance, security, ethics, and operational failures.

NEW QUESTION # 153
During which phase of the test, evaluation, verification, and validation (TEVV) model does the organization ensure the proposed AI solution to be procured meets business needs as expected?

A. Validation
B. Testing
C. Verification
D. Evaluation

Answer: A

Explanation:
Validation focuses on confirming that the AI solution fulfills intended business needs and use cases, ensuring it performs as expected in real-world conditions before or during procurement decisions.

NEW QUESTION # 154
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?

A. Allow list employee access
B. Model fine tuning with increased use of function calls
C. Prompt sanitization
D. Retrieval-augmented generation (RAG) with access control lists (ACLs)

Answer: D

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 # 155
Which of the following is the MOST effective way to prevent data poisoning attacks during the training phase of an AI system?

A. Preventing prompt injection attacks designed to override the model's security controls.
B. Applying strict authentication protocols for the model training.
C. Deploying and testing a failover system to ensure availability of the training data.
D. Validating and verifying the training data using metadata.

Answer: D

Explanation:
Validating and verifying training data using metadata helps ensure the integrity, origin, and trustworthiness of the data before it is used for training. This is the most effective control against data poisoning because it directly targets the insertion of malicious or manipulated data into the training dataset.

NEW QUESTION # 156
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?

A. Industry benchmarking peer review
B. Third-party audit reports
C. General AI security whitepapers
D. Internal red team testing reports

Answer: B

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 # 157
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