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Isaca AAISM dumps

Isaca AAISM Exam Dumps

ISACA Advanced in AI Security Management (AAISM) Exam
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Exam Code AAISM
Exam Name ISACA Advanced in AI Security Management (AAISM) Exam
Questions 255 Questions Answers With Explanation
Update Date 04, 25, 2026
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Isaca AAISM Sample Question Answers

Question # 1

How can an organization best remain compliant when decommissioning an AI system that recorded patient data?

A. Perform a post-destruction risk assessment 
B. Ensure backups are tested and access controls are audited 
C. Update governance policies based on lessons learned 
D. Ensure a certificate of destruction is received and archived 



Question # 2

Which of the following approaches BEST enables the separation of sensitive and shareable data to prevent an AI chatbot from inadvertently disclosing confidential information?

A. Zero Trust 
B. Sandboxing 
C. Siloing 
D. Containerization 



Question # 3

An attacker crafts inputs to a large language model (LLM) to exploit output integrity controls. Which of the following types of attacks is this an example of? 

A. Prompt injection 
B. Jailbreaking 
C. Remote code execution
 D. Evasion



Question # 4

Which strategy BEST ensures generative AI tools do not expose company data? 

A. Conducting an independent AI data audit 
B. Implementing a solution prohibiting input of sensitive data 
C. Testing AI tools before implementation 
D. Ensuring AI tools comply with local regulations 



Question # 5

An organization plans to use AI to analyze the shopping patterns of its customers to predict interests and send targeted, customized marketing emails. Which of the following should be done FIRST?

A. Obtain customer consent 
B. Train the marketing department
 C. Update the terms of service 
D. Verify customer email addresses 



Question # 6

An organization is implementing AI agent development across engineering teams. What should AI-specific training focus on? 

A. Prompt injection, agent memory control, insecure tool execution 
B. Dataset bias, explainability, fairness 
C. Output moderation, hallucination handling, policy alignment 
D. API abuse, data leakage, third-party plug-in risk 



Question # 7

During red-team testing of an AI system used to make lending decisions, which of the following techniques BEST simulates a data poisoning attack?

A. Inputting encrypted data into the model 
B. Adding noise to output predictions 
C. Stealing model weights from a deployed API 
D. Corrupting training data sets to manipulate outcomes 



Question # 8

When robust input controls cannot prevent prompt injections in an LLM, what is the BEST compensating control?

A. Fine-tune the system to validate inputs
 B. Implement identity and access management (IAM) 
C. Conduct human reviews of AI system inputs 
D. Review and annotate the AI system's outputs 



Question # 9

Which AI model is BEST suited to ensure explainability in an HR department’s prescreening tool for candidate resumes?

A. Support vector machine 
B. Neural network 
C. Decision tree 
D. Gradient boosting machine 



Question # 10

Secure aggregation enhances the security of federated learning systems by: 

A. Processing client updates in isolation to reduce the risk of exposing sensitive information 
B. Applying differential privacy techniques to mask sensitive information in training data 
C. Encrypting individual model updates during transmission to ensure only the server can access the data 
D. Ensuring individual client contributions remain confidential even if the server is compromised



Question # 11

Cybersecurity teams should FIRST be embedded in the: 

A. Model testing phase 
B. Model deployment phase 
C. Model training phase 
D. Model design phase



Question # 12

Security and assurance requirements for AI systems should FIRST be embedded in the:

A. Model design phase 
B. Model training phase 
C. Model testing phase 
D. Model deployment phase



Question # 13

Which of the following reviews MUST be conducted as part of an AI impact assessment?

A. Testing, evaluation, validation, and verification 
B. Evaluation of model reproducibility 
C. Security control self-assessment (CSA) 
D. Identification of environmental and societal consequences 



Question # 14

Which of the following would BEST protect trade secrets related to AI technologies during their life cycle? 

A. Patenting AI algorithms along with data sets 
B. Enforcing trademark rights in AI systems 
C. Introducing watermarks when generating AI output 
D. Restricting access to sensitive data 



Question # 15

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. Security monitoring and alerting 
D. Bias and ethical practices 



Question # 16

An organization plans to leverage AI in the software development process to speed up coding. Which of the following should the information security manager do FIRST?

A. Conduct an impact assessment 
B. Train developers to verify AI output 
C. Update the security policy to include AI controls 
D. Perform a cost-benefit analysis 



Question # 17

An aerospace manufacturer prioritizing accuracy and security wants to use generative AI. Which LLM adoption plan BEST aligns with its risk appetite?

A. Developing a private LLM to automate non-critical functions 
B. Contracting LLM access from a reputable third-party provider
 C. Developing a public LLM to automate critical functions 
D. Purchasing an LLM dataset on the open market 



Question # 18

Which of the following controls would BEST help to prevent data poisoning in AI models?

A. Increasing the size of the training data set 
B. Implementing a strict data validation mechanism
 C. Establishing continuous monitoring 
D. Regularly updating the foundational model 



Question # 19

The PRIMARY purpose of adopting and implementing AI architecture as part of an organizational AI program is to: 

A. ensure the development of powerful, efficient, and scalable AI systems 
B. deploy fast and cost-efficient AI systems for rapidly changing environments 
C. align the system components of AI with the business goals of the organization 
D. provide a basis for identification of threats and vulnerabilities



Question # 20

When deriving statistical information from AI systems, which source of risk is MOST important to address?

A. Presence of hallucinations 
B. Incomplete outputs 
C. Lack of data normalization 
D. Systemic bias in data sets 



Question # 21

A viral video shows a blurry person making claims about a product safety issue. The video has random low-quality sections. This MOST likely represents what threat?

A. Hallucinations 
B. Model drift 
C. Data poisoning 
D. Deepfake 



Question # 22

Which of the following mitigation control strategies would BEST reduce the risk of introducing hidden backdoors during model fine-tuning via third-party components?

A. Leveraging open-source models and packages 
B. Performing threat modeling and integrity checks 
C. Disabling runtime logs during model training 
D. Implementing unsupervised learning methods



Question # 23

Which of the following is the MOST effective way to prevent a model inversion attack?

A. Monitor model output for anomalies 
B. Utilize data pseudonymization
 C. Implement differential privacy during model training 
D. Ensure data minimization



Question # 24

A financial organization is concerned about the risk of prompt injection attacks on its customer service chatbot. Which of the following controls BEST addresses this concern?

A. Human-in-the-loop 
B. Input validation 
C. Increasing model parameters 
D. Continuous monitoring 



Question # 25

A large financial services organization is integrating a third-party AI solution into its critical fraud detection system. Which of the following is the BEST way for the organization to reduce risk associated with AI vendor and supply chain dependencies? 

A. Conducting annual vulnerability assessments of the fraud detection system after integration 
B. Focusing on performance testing to ensure the solution meets operational requirements 
C. Establishing contractual agreements requiring vendors to provide evidence of secure development practices 
D. Implementing isolated virtual environments to validate the integration of the fraud detection system with the solution 



Feedback That Matters: Reviews of Our Isaca AAISM Dumps

    Aspen Waters         Apr 25, 2026

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