P.S. Free & New AAISM dumps are available on Google Drive shared by SurePassExams: https://drive.google.com/open?id=1YaSQqOL4DQMcIWTPVA7wSLXe8MZSAqVb
For candidates who want to pass the exam just one time, the valid AAISM study materials are quite necessary. We are a professional exam materials provider, and we can offer you valid and effective AAISM exam materials. In addition, we have a professional team to collect the latest information for the exam, and if you choose us, we can ensure you that you can get the latest information for the exam. We offer you free update for one year for AAISM stidy materials, and the latest version will be sent to your email automatically. If you have any questions, you can consult our online chat service stuff.
| Section | Weight | Objectives |
|---|---|---|
| AI Governance and Program Management | 31% | - AI Strategy and Policy
|
| AI Risk Management | 31% | - AI Risk Assessment
|
| AI Technologies and Controls | 38% | - Data and Model Controls
|
Our website gives detailed guidance to our customers for preparation of AAISM actual test and take them towards the direction of achievement. Each of our ISACA exam preparation materials is designed by IT professionals in order to improve your particular skills. Our AAISM Practice Questions will boost the confidence of candidates for appearing in the real exam.
NEW QUESTION # 241
A global financial organization wants to deploy an AI solution for credit scoring. Which of the following should the organization do FIRST?
Answer: C
Explanation:
Ensuring the solution complies with applicable laws and regulations is the foundational step before any deployment activities. Regulatory compliance defines permissible data use, model behavior, and governance requirements, which must be established before conducting assessments, testing strategies, or documentation.
NEW QUESTION # 242
An organization is looking to purchase an AI application from a vendor but is concerned about the security of its data. Which of the following is the MOST effective way to address this concern?
Answer: B
Explanation:
AAISM's approach to third-party and vendor risk for AI systems stresses data usage transparency as a primary control. The guidance explains that organizations must obtain clear documentation on "what data is collected, how it is processed, stored, retained, and whether it is reused for training or shared with other parties." Option C directly addresses this by requiring the vendor to disclose how the application uses organizational data, enabling appropriate risk assessment, contractual controls, and technical safeguards. An external audit (A) can be useful but may be costly and not always feasible pre-procurement. Legal discussions (B) are important but ineffective without clarity on data flows. Publicly available policies (D) are often high- level and marketing-oriented, lacking the specificity required for proper risk evaluation. Therefore, obtaining explicit data usage disclosures from the vendor is the most effective starting point.
References: AI Security Management™ (AAISM) Study Guide - Third-Party AI Risk and Data Sharing; Vendor Governance Requirements.
NEW QUESTION # 243
When integrating AI for innovation, which of the following can BEST help an organization manage security risk?
Answer: B
Explanation:
AAISM emphasizes that when introducing innovative AI systems, organizations reduce security and compliance risk by following a phased adoption approach. This allows incremental deployment, controlled testing, and gradual scaling while monitoring risks in real time. Re- evaluating risk appetite and evaluating compliance are important governance steps but do not directly mitigate risks during implementation. Seeking third-party advice can add expertise but does not provide the structured control that phased integration offers. The most effective risk management approach for AI innovation is to adopt a phased rollout strategy.
NEW QUESTION # 244
Which of the following controls BEST mitigates the risk of data poisoning?
Answer: B
Explanation:
The AAISM technical controls framework emphasizes data validation as the primary safeguard against data poisoning attacks. Poisoning occurs when attackers insert malicious or corrupted data into training sets.
Validation techniques verify the quality, authenticity, and consistency of input data before training, preventing compromised samples from corrupting the model. Restoration helps after compromise, watermarking protects ownership, and intrusion detection monitors networks rather than data quality. The most effective preventive measure is data validation.
References:
AAISM Study Guide - AI Technologies and Controls (Data Poisoning Mitigation) ISACA AI Security Management - Data Validation and Quality Controls
NEW QUESTION # 245
Implementing which of the following would MOST effectively address bias in generative AI models?
Answer: B
Explanation:
AAISM identifies fairness constraints (e.g., constrained optimization, debiasing objectives, conditional generation controls, and post-processing calibrations) as the most direct, measurable method to mitigate disparate outcomes in generative systems. While data augmentation can help with coverage, and adversarial training improves robustness, fairness constraints explicitly target distributional fairness and outcome equity in generated content, aligning with governance and compliance goals.
NEW QUESTION # 246
......
It's no exaggeration to say that it only takes you 20 to 30 hours with AAISM practice quiz before exam. Past practice has proven that we can guarantee a high pass rate of 98% to 100% due to the advantage of high-quality. If you are skeptical about this, you can download a free trial of the version to experience our AAISM Training Material. You can try any version of our AAISM exam dumps as your favor, and the content of all three version is the same, only the display differs.
New AAISM Exam Fee: https://www.surepassexams.com/AAISM-exam-bootcamp.html
BTW, DOWNLOAD part of SurePassExams AAISM dumps from Cloud Storage: https://drive.google.com/open?id=1YaSQqOL4DQMcIWTPVA7wSLXe8MZSAqVb