100% Pass Guaranteed Free AAISM Exam Dumps Sep 11, 2026 [Q251-Q269]

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100% Pass Guaranteed Free AAISM Exam Dumps Sep 11, 2026

Verified & Latest AAISM Dump Q&As with Correct Answers

ISACA AAISM Exam Overview:

Certification Vendor: ISACA
Exam Name: ISACA Advanced in AI Security Management (AAISM) Exam
Exam Number: AAISM
Exam Duration: 150 minutes
Real Exam Qty: 90
Certificate Validity Period: 3 years
Related Certifications: ISACA Advanced in AI Security Management (AAISM)
Passing Score: 450/800
Exam Format: Multiple Choice, Scenario-based Questions
Available Languages: English, Spanish
Exam Price: USD $399
Sample Questions: ISACA AAISM Sample Questions
Exam Way: Online remote proctored exam or test center exam
Pre Condition: Candidates must hold an active CISM or CISSP certification.
Official Syllabus URL: https://www.isaca.org/credentialing/aaism/aaism-exam-content-outline

 

NO.251 The CEO of a large multi-sector organization has learned that, in the absence of formal guidance, business units have created shadow IT by integrating AI into their daily operations. In response, an AI governance group has been created to address the issue. Which of the following is MOST important for the group to collect from each business unit?

 
 
 
 

NO.252 Which of the following AI incidents would be BEST contained via a kill switch?

 
 
 
 

NO.253 Which of the following strategies BEST ensures generative AI tools do not expose company data?

 
 
 
 

NO.254 A preliminary risk assessment of a SaaS-based large language model (LLM) business support system has identified prompt injection, data poisoning, and model exfiltration as material threats. Which of the following is the BEST approach to ensure risks are treated consistently?

 
 
 
 

NO.255 Which of the following attack types is the MOST likely cause of model drift?

 
 
 
 

NO.256 Which of the following AI controls would BEST protect against deepfake content?

 
 
 
 

NO.257 Which of the following should be included in an AI acceptable use policy?

 
 
 
 

NO.258 Which of the following BEST ensures the integrity of data sets used to train AI models?

 
 
 
 

NO.259 A financial organization is concerned about AI data poisoning. Which control BEST mitigates this risk?

 
 
 
 

NO.260 Which of the following BEST describes an adversarial attack on an AI model?

 
 
 
 

NO.261 Which of the following datasets is used to tune hyperparameters?

 
 
 
 

NO.262 Which of the following patterns MOST likely indicates a potential memory poisoning attack in an agentic AI system?

 
 
 
 

NO.263 The PRIMARY purpose of adopting and implementing AI architecture as part of an organizational AI program is to:

 
 
 
 

NO.264 A preliminary risk assessment of a SaaS-based large language model (LLM) business support system has identified prompt injection, data poisoning, and model exfiltration as material threats.
Which of the following is the BEST approach to ensure risks are treated consistently?

 
 
 
 

NO.265 Which of the following would BEST help mitigate vulnerabilities associated with hidden triggers in generative AI models?

 
 
 
 

NO.266 AI developers often find deep learning systems difficult to explain PRIMARILY because:

 
 
 
 

NO.267 An aerospace manufacturing company that prioritizes accuracy and security has decided to use generative AI to enhance operations. Which of the following large language model (LLM) adoption plans BEST aligns with the company’s risk appetite?

 
 
 
 

NO.268 Which of the following is MOST important for effective AI risk management?

 
 
 
 

NO.269 Which AI data management technique involves creating validation and test data?

 
 
 
 

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.

 

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