[UPDATED 2026] Getting AAISM Certification Made Easy! [Q187-Q207]

admin AAISM ISACA July 15, 2026

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[UPDATED 2026] Getting AAISM Certification Made Easy!

AAISM Exam Crack Test Engine Dumps Training With 432 Questions

Q187. When deriving statistical information from AI systems, which source of risk is MOST important to address?

Presence of hallucinations

Incomplete outputs

Lack of data normalization

Systemic bias in data sets

Q188. Which of the following BEST describes an adversarial attack on an AI model?

Attacking the underlying hardware of the AI system

Providing inputs that mislead the AI model into incorrect predictions

Reverse engineering the AI model using social engineering techniques

Conducting denial-of-service (DoS) attacks against AI APIs

Q189. Which of the following would BEST help an organization align its AI initiatives with business objectives?

Complying with applicable AI-related regulations

Ensuring ethical use of AI technologies in projects

Establishing an AI governance committee

Protecting enterprise information used by AI projects

Q190. Which of the following is the MOST effective way to mitigate the risk of deepfake attacks?

Relying on human judgment for oversight

Limiting employee access to AI tools

Validating the provenance of the data source

Using a general-purpose large language model (LLM) to detect fraud

Q191. 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?

Continuous monitoring

Increasing model parameters

Input validation

Human-in-the-loop

Q192. Which of the following is the BEST approach to establish continuous monitoring of AI systems after rolling out AI services in a global organization?

Assess independent control reports and implement vendor dashboard monitoring.

Emphasize pre-deployment testing and model validation reports, deferring runtime monitoring until the services start producing results.

Implement predefined metrics, automate logging, and escalate alerts to the security operations center (SOC).

Quickly schedule manual reviews of model accuracy on a monthly basis.

Q193. Which of the following would be of GREATEST concern when reporting on controls and risk mitigation efforts for AI systems?

Absence of ongoing assessment to confirm that AI control effectiveness is sustainable

Delayed communication regarding AI system rollout timelines and initial risk assessments

Minimal coverage of plans for AI system scalability and expansion

Lack of detailed explanation of AI model training methodologies

Q194. A CISO has been tasked with providing key performance indicators (KPIs) on the organization’s newly launched AI chatbot. Which of the following are the BEST metrics for the CISO to recommend?

Explainability and F1 score

Customer effort score and user retention rate

Response time and throughput

Error rate and bias detection

Q195. Who is responsible for implementing recommendations in a final report after an external AI compliance audit?

System architects

Internal auditors

End users

Model owners

Q196. Which of the following is the BEST control to mitigate injection attacks on an AI agent?

Apply strict access controls and perform security testing on AI components.

Use sandboxing and least-privilege container configurations to isolate the AI runtime.

Implement input filtering to detect and block malicious or manipulated prompts.

Deploy data loss prevention (DLP) tools and log monitoring to detect abnormal behaviors.

Q197. An incident response team has restored an AI system after a confirmed security incident. Which of the following should be done NEXT?

Verify AI system functionality for expected behavior and output quality.

Communicate the incident to impacted stakeholders.

Gather model output data to understand the scope and impact of the incident.

Isolate the AI system to prevent further damage to the foundational model.

Q198. Security and assurance requirements for AI systems should FIRST be embedded in the:

Model design phase

Model training phase

Model testing phase

Model deployment phase

Q199. An organization is designing an AI-based credit risk assessment system integrating sensitive financial data.
Which option BEST supports security-by-design?

Integrating differential privacy mechanisms into model training

Applying threat modeling specific to AI components before deployment

Segmenting AI services across containers

Restricting access to AI models using IP allow lists

Q200. The PRIMARY ethical concern of generative AI is that it may:

Produce unexpected data that could lead to bias

Cause information integrity issues

Cause information to become unavailable

Breach the confidentiality of information

Q201. When a retail organization uses an AI credit fraud detection system, which of the following BEST prevents false positives that may negatively affect customer satisfaction?

Optimizing for accuracy over precision

Employing cluster analysis algorithms

Fine tuning confidence score threshold

Increasing the model decision parameters

Q202. Which of the following is the MOST important consideration when deciding how to compose an AI red team?

Resource availability

AI use cases

Time-to-market constraints

Compliance requirements

Q203. When addressing privacy concerns related to AI systems, which of the following is the GREATEST significance of user consent for an organization?

It helps the organization detect biases and ensure fairness

It enables users to delete and modify their personal data

It prevents unauthorized access to data within the AI system

It allows the organization to process user data in the AI system

Q204. A large financial institution is integrating a third-party AI solution into its fraud detection system. Which is the BEST way to reduce AI vendor/supply chain risk?

Conduct annual vulnerability assessments after integration

Establish contractual agreements requiring evidence of secure development practices

Use isolated virtual environments to validate integration

Focus on performance testing

Q205. A post-incident investigation finds that an AI-powered anti-money laundering system inadvertently allowed suspicious transactions because certain risk signals were disabled to reduce false positives. Which of the following governance failures does this BEST demonstrate?

Lack of sufficient computing resources for the AI system

Excessive reliance on external consultants for model design

Absence of metrics and dashboards for analysts

Insufficient model validation and change control processes

Q206. Which of the following is the BEST method to uncover known vulnerabilities in an AI-based web application that has been recently deployed?

Dynamic application security testing (DAST)

Static application security testing (SAST)

Runtime application self-protection (RASP)

Interactive application security testing (IAST)

Q207. Which of the following is MOST important when evaluating the quality of data to be ingested into an AI model?

Anonymizing datasets

Performing data profiling and cleansing