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Free ISACA AAISM Practice Questions & Answers 2026 Part2 | Advanced in AI Security Management

Are you preparing for the ISACA AAISM certification exam? SPOTO offers the ISACA AAISM Premium File; all questions are aligned with the latest exam content and come with expert-provided answers. Our question banks cover the latest question types, core concepts, and detailed explanations, helping you familiarize yourself with the exam format and difficulty level. Whether you are reviewing core concepts or simulating a real exam environment, these resources will rapidly boost your confidence and readiness.
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Question #1
During the creation of a new large language model (LLM), an organization procured training data from multiple sources. Which of the following is MOST likely to address the CISO's security and privacy concerns?
A. ata minimization
B. ata classification
C. ata augmentation
D. ata discovery
View answer
Correct Answer: A
Question #2
The extent of stakeholder engagement in generative AI policy development PRIMARILY depends on the:
A. I-related requirements for legal compliance
B. otential impact of organizational AI usage
C. evel of technical expertise in AI models
D. enchmarking results from peer industries
View answer
Correct Answer: B
Question #3
A programmer suspects an AI system is inferring sensitive user information. What is the BEST action?
A. Inform the governance panel
B. Suggest fine-tuning
C. Conduct a code review
D. Alert the CIO
View answer
Correct Answer: A
Question #4
An organization deploying an LLM is concerned input manipulations could compromise security. What is the MOST effective way to determine an acceptable risk threshold? AAISM instructs that acceptable risk thresholds must be determined using business impact analysis. This aligns with the broader enterprise risk management principle of defining tolerances based on: * potential harm * regulatory exposure * financial impact * operational disruption Monitoring (A) detects attacks but does not set thresholds. Blocking special characters (B) is unrealistic and overly restrictive. Static thresholds (D) ignore business context and practicality. ============================================
A. Deploy real-time logging and monitoring
B. Restrict all inputs containing special characters
C. Assess the business impact of known threats
D. Implement a static threshold limiting LLM outputs
View answer
Correct Answer: C
Question #5
An AI research team is developing a natural language processing model that relies on several open-source libraries. Which of the following is the team's BEST course of action to ensure the integrity of the software packages used?
A. Maintain a list of frequently used libraries to ensure consistent application in projects
B. Retrain the model regularly to handle package and library updates
C. Scan the packages and libraries for malware prior to installation
D. Use the latest version of all libraries from public repositories
View answer
Correct Answer: C
Question #6
Which of the following is the MOST effective defense against cyberattacks that alter input data to avoid detection by the model?
A. Conducting periodic monitoring activities on the model's decisions
B. Enhancing model robustness through adversarial training
C. Implementing restricted access to the model's internal parameters
D. Applying differential privacy controls on training datasets
View answer
Correct Answer: B
Question #7
An attacker crafts inputs to a large language model (LLM) to exploit output integrity controls. Whichof the following types of attacks is this an example of?
A. rompt injection
B. ailbreaking
C. emote code execution
D. vasion
View answer
Correct Answer: A
Question #8
Which of the following is MOST important when evaluating the quality of data to be ingested into an AI model?
A. nsuring data resiliency
B. nonymizing datasets
C. erforming data profiling and cleansing
D. mplementing data security and privacy standards
View answer
Correct Answer: C
Question #9
An organization plans to apply an AI system to its business, but developers find it difficult to predict system results due to lack of visibility to the inner workings of the AI model. Which of the following is the GREATEST challenge associated with this situation?
A. Assigning a risk owner who is responsible for system uptime and performance
B. Continuing operations to meet expected AI security requirements
C. Determining average turnaround time for AI transaction completion
D. Gaining the trust of end users through explainability and transparency
View answer
Correct Answer: D
Question #10
Which of the following is the BEST method to uncover known vulnerabilities in an AI-based web application that has been recently deployed?
A. Dynamic application security testing (DAST)
B. Static application security testing (SAST)
C. Runtime application self-protection (RASP)
D. Interactive application security testing (IAST)
View answer
Correct Answer: A
Question #11
During the creation of a new large language model (LLM), an organization procured training data from multiple sources. Which of the following is MOST likely to address the CISO's security and privacy concerns?
A. Data minimization
B. Data augmentation
C. Data classification
D. Data discovery
View answer
Correct Answer: C
Question #12
An AI research team is developing a natural language processing model that relies on several open-source libraries. Which of the following is the team's BEST course of action to ensure the integrity of the software packages used?
A. aintain a list of frequently used libraries to ensure consistent application in projects
B. etrain the model regularly to handle package and library updates
C. can the packages and libraries for malware prior to installation
D. se the latest version of all libraries from public repositories
View answer
Correct Answer: C
Question #13
Which of the following is the MOST effective use of AI in incident response?
A. Streamlining incident response testing
B. Automating incident response triage
C. Improving incident response playbook
D. Ensuring chain of custody
View answer
Correct Answer: B
Question #14
Which of the following technologies can be used to manage deepfake risk?
A. ystematic data tagging
B. ulti-factor authentication (MFA)
C. lockchain
D. daptive authentication
View answer
Correct Answer: C
Question #15
An organization is adopting an agentic AI solution from an external vendor to support internal IT operations. 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. Internal red-team testing reports
D. General AI security whitepapers
View answer
Correct Answer: B
Question #16
An organization is facing a deepfake attack intended to manipulate stock prices. The organization's crisis communication plan has been activated. Which of the following is MOST important to include in the initial response?
A. Conduct employee awareness training on recognizing deepfake videos and audio
B. Provide clarifying information in a pre-approved public statement
C. Conduct a detailed forensic analysis to identify the source of the deepfake
D. Engage with brand monitoring services to track social media activity
View answer
Correct Answer: B
Question #17
Which of the following would BEST help mitigate vulnerabilities associated with hidden triggers ingenerative AI models?
A. egularly retraining the model using a diverse data set
B. pplying differential privacy and masking sensitive patterns in the training data
C. ncorporating adversarial training to expose and neutralize potential triggers
D. onitoring model outputs and suspicious patterns to detect trigger activations
View answer
Correct Answer: C
Question #18
What BEST protects trade secrets related to AI technologies during their life cycle?
A. Enforcing trademark rights
B. Restricting access to sensitive data
C. Patenting AI algorithms and data
D. Watermarking AI output
View answer
Correct Answer: B
Question #19
The MOST effective AI-driven capability to ensure real-time business continuity is:
A. Predicting potential disruptions without taking preventive action
B. Sending alerts while waiting for manual intervention
C. Keeping logs of incidents for future analysis
D. Automating system failover to backup servers
View answer
Correct Answer: D
Question #20
Which of the following approaches BEST helps to reduce model bias?
A. ecreasing the frequency of model updates
B. ncreasing the number of labels per instance
C. tilizing a more complex model architecture
D. nsuring diversity in training data sources
View answer
Correct Answer: D
Question #21
Which of the following is the BEST mitigation control for membership inference attacks on AIsystems?
A. odel ensemble techniques
B. I threat modeling
C. ifferential privacy
D. ybersecurity-oriented red teaming
View answer
Correct Answer: C
Question #22
An organization is reviewing an AI application to determine whether it is still needed. Engineers have been asked to analyze the number of incorrect predictions against the total number of predictions made. Which of the following is this an example of?
A. Model validation
B. Control self-assessment (CSA)
C. Explainable decision-making
D. Key performance indicator (KPI)
View answer
Correct Answer: D
Question #23
Which of the following is MOST important to ensure security throughout the AI data life cycle? 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. Periodic reviews (B) are necessary but insufficient without lineage. Restricting third-party use (C) is one control but not comprehensive. Open-source model choice (A) does not secure data. =============================================
A. Leveraging selected open-source models
B. Conducting periodic data reviews
C. Restricting use of data in third-party models
D. Maintaining a complete inventory with data lineage records
View answer
Correct Answer: D
Question #24
The PRIMARY ethical concern of generative AI is that it may: AAISM materials emphasize that the primary ethical concern with generative AI is the risk to information integrity. Generative models can create content that appears authentic but is fabricated, misleading, or manipulated. This undermines trust in information ecosystems and can have wide-reaching social, legal, and organizational impacts. While confidentiality breaches and bias are concerns, they are not the central ethical issue inherent to generative models. Availability is less relevant in this context. The most pressing concern is that generative AI may compromise the integrity of information. AAISM Study Guide -- AI Risk Management (Ethical Risks of Generative AI) ISACA AI Security Management -- Integrity Concerns in Generative Systems
A. Produce unexpected data that could lead to bias
B. Cause information integrity issues
C. Cause information to become unavailable
D. Breach the confidentiality of information
View answer
Correct Answer: B
Question #25
Which of the following is the MOST important consideration when deciding how to compose an AI red team?
A. esource availability
B. ime-to-market constraints
C. kills matrix
D. I use cases
View answer
Correct Answer: C
Question #26
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? AAISM defines deepfakes as manipulated media where individuals appear in synthetic or altered video/audio. Indicators include: * blurred or inconsistent facial rendering * mismatched frames * low-quality or distorted transitions These characteristics match the scenario provided. Hallucinations (A) relate to model outputs, not video manipulation. Drift (B) affects model performance. Poisoning (C) affects training data, not video content.
A. Hallucinations
B. Model drift
C. Data poisoning
D. Deepfake
View answer
Correct Answer: D
Question #27
Which of the following types of testing can MOST effectively mitigate prompt hacking?
A. oad
B. nput
C. egression
D. dversarial
View answer
Correct Answer: D
Question #28
A large pharmaceutical company using a new AI solution to develop treatment regimens is concerned about potential hallucinations with the introduction of real-world data. Which of the following is MOST likely to reduce this risk?
A. Penetration testing
B. Data asset validation
C. Human-in-the-loop
D. AI impact analysis
View answer
Correct Answer: C
Question #29
What is the MOST effective metric for monitoring AI solutions provided by AI vendors?
A. Wait for supplier reports before investigating
B. Use real-time tools to track AI anomalies
C. Prioritize endpoint logs over centralized platforms
D. Track model input with key performance indicators
View answer
Correct Answer: B
Question #30
Which of the following is MOST important to consider when validating a third-party AI tool?
A. erms and conditions
B. ight to audit
C. ndustry analysis and certifications
D. oundtable testing
View answer
Correct Answer: B
Question #31
Which of the following is the MAIN objective of the operational phase of AI life cycle management?
A. ptimize the model's algorithms
B. onitor model performance
C. btain end-user feedback on the model
D. lign the model to business needs
View answer
Correct Answer: B
Question #32
What is the GREATEST benefit of performing AI security risk assessments? AAISM emphasizes that the primary value of AI security risk assessments is prioritizing risks based on likelihood, impact, and business relevance. Updating the register (A) is administrative. Privacy controls (B) are one category of mitigation. Funding (D) is possible but not the primary purpose. ============================================
A. Updating the risk register
B. Implementing privacy controls
C. Enabling risk prioritization
D. Securing appropriate funding
View answer
Correct Answer: C
Question #33
When an AI impact assessment reveals biased training data, what is the MOST effective method to ensure regulatory compliance?
A. Keep the original dataset when the model’s accuracy is high
B. Rely on model transparency to validate decision making
C. Use diverse and representative datasets to monitor the bias
D. Focus on ethical guidelines to validate model performance
View answer
Correct Answer: C
Question #34
Which of the following data management techniques BEST improves an AI model’s performance by enhancing training data quality?
A. Data classification
B. Data access
C. Data scrubbing
D. Data encoding
View answer
Correct Answer: C
Question #35
Which of the following is the MOST important consideration when deciding how to compose an AI red team?
A. Resource availability
B. Time-to-market constraints
C. Skills matrix
D. AI use cases
View answer
Correct Answer: C
Question #36
Which of the following information is MOST important to include in a centralized AI inventory?
A. Ownership and accountability of AI systems
B. AI model use cases
C. Training data sets
D. Foundation model and package registry
View answer
Correct Answer: A

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