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ISACA AAISM Exam Overview:

Certification Vendor:	ISACA
Exam Name:	ISACA Advanced in AI Security Management (AAISM) Exam
Exam Number:	AAISM
Exam Format:	Multiple-choice, Scenario-based
Related Certifications:	CISM CISSP
Certificate Validity Period:	3 years
Available Languages:	English
Real Exam Qty:	90
Exam Price:	US$459 (members), US$599 (non-members)
Passing Score:	450 (out of 800)
Exam Duration:	150 minutes
Recommended Training:	ISACA Official AAISM Training
Exam Registration:	ISACA AAISM Registration
Sample Questions:	ISACA AAISM Sample Questions
Exam Way:	Computer-based; available at authorized PSI testing centers or via remote proctoring
Pre Condition:	Hold an active CISM or CISSP certification
Official Syllabus URL:	https://www.isaca.org/credentialing/aaism/aaism-exam-content-outline

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ISACA AAISM Exam Syllabus Topics:

Topic	Details
Topic 1	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.
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 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.

ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q183-Q188):

NEW QUESTION # 183
To process customer feedback for business decisions, an organization purchases an AI-powered sentiment analysis service implemented as a black box API. Which of the following represents the GREATEST security risk to the business?

A. The service could be subjected to data poisoning attacks that causes sentiment analysis to be manipulated.
B. The API endpoint for the service could be unavailable due to a distributed denial of service (DDoS) attack.
C. The service may secretly exfiltrate customer feedback data for its own purposes.
D. The organization's API key for the service could be stolen and used by an unauthorized party.

Answer: C

Explanation:
Using a black box API means the organization has limited visibility into how data is handled. If the service exfiltrates customer feedback data, it directly compromises confidentiality and trust, posing the most significant security risk to the business.

NEW QUESTION # 184
Which of the following strategies BEST ensures generative AI tools do not expose company data?

A. Ensuring AI tools are compliant with local regulations
B. Implementing a solution to prohibit the input of sensitive data
C. Conducting an independent AI data audit
D. Testing AI tools before implementation

Answer: B

Explanation:
AAISM prioritizes preventive controls at the point of use for generative AI, specifically input-governance and DLP controls that block or redact confidential, regulated, or high-risk data before it can be sent to external models. Audits, pre-deployment tests, and regulatory conformance are necessary but do not themselves prevent an employee from pasting sensitive content into prompts. Enforcing input restrictions, pattern-based redaction, policy-aware controls, and allow-lists for approved contexts provides the highest assurance of preventing exposure.
References:* AI Security Management™ (AAISM) Body of Knowledge: Data loss prevention for AI; prompt
/input controls; approved channels and guardrails for generative AI.* AI Security Management™ Study Guide: Preventive over detective controls for confidentiality; enterprise guardrails at prompt capture and egress points.

NEW QUESTION # 185
Which of the following is the GREATEST concern when a vendor enables generative AI features for an organization's critical system?

A. Access to the model
B. Proposed regulatory enhancements
C. Bias and ethical practices
D. Security monitoring and alerting

Answer: A

Explanation:
When enabling genAI capabilities in a critical system, AAISM prioritizes controlling access to the model and its interfaces (prompt surfaces, context windows, tools/functions, and connected data) because exposure expands the attack surface for prompt injection, data exfiltration, jailbreaks, and misuse. Monitoring (C) is necessary but detective; ethics and bias (D) are vital but secondary to immediate safety and security of a mission-critical environment; proposed regulations (B) are not an immediate operational risk.
References: AAISM Body of Knowledge: GenAI Security-Access Governance, Interface Hardening, and Prompt Surface Controls; AAISM Study Guide: Critical System Safeguards-Least Privilege, Guardrails, and Abuse Prevention.

NEW QUESTION # 186
Which of the following is MOST important to ensure security throughout the AI data life cycle?

A. Maintaining a complete inventory with data lineage records
B. Restricting use of data in third-party models
C. Leveraging selected open-source models
D. Conducting periodic data reviews

Answer: A

Explanation:
AAISM emphasizes data lineage, provenance tracking, and inventory completeness as essential controls to ensure data security and accountability across all AI data life-cycle phases. This enables detection of unauthorized modifications, improper use, and compliance violations.

NEW QUESTION # 187
A security assessment revealed that attackers could access sensitive company data through chat interface injection. What is the BEST mitigation?

A. Ensuring continuous monitoring and tagging
B. Manually reviewing AI model outputs
C. Implementing input validation and templates
D. Conducting regular security audits

Answer: C

Explanation:
AAISM explains that prompt injection attacks are best mitigated by:
- strict input validation
- templated prompts
- controlled context windows
- guardrail enforcement
These prevent malicious instructions from overriding system prompts.

NEW QUESTION # 188
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