Open the auxiliary access

Firefly Open Source Community

   Login   |   Register   |
New_Topic
Firefly Open Source Community › Embedded Board › ROC-RK3588S-PC› New AAISM Hot Questions | Professional AAISM: ISACA ...
New Topic
Print Previous Topic Next Topic

[General] New AAISM Hot Questions | Professional AAISM: ISACA Advanced in AI Security Mana

leoowen581

135

Credits

0

Prestige

0

Contribution

registered members

Rank: 2

Credits
135

【General】 New AAISM Hot Questions | Professional AAISM: ISACA Advanced in AI Security Mana

Posted at yesterday 10:50      View：18 | Replies：0        Print      Only Author   [Copy Link] 1#
BTW, DOWNLOAD part of Itcertking AAISM dumps from Cloud Storage: https://drive.google.com/open?id=1gfWrPUlfUvRiSsm1_BCrllJddGNLawuR
With the simulation function, our AAISM training guide is easier to understand and have more vivid explanations to help you learn more knowledge. You can set time to test your study efficiency, so that you can accomplish your test within the given time when you are in the Real AAISM Exam. Besides, you can get the real feeling of taking part in the real exam for our AAISM exam questions have the function of simulating the real exam. So that you can have a better performance when you attend the real exam.
ISACA AAISM Exam Syllabus Topics:
TopicDetails
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.

Reliable AAISM Test Testking | Latest AAISM Dumps FilesOur AAISM exam materials allow you to have greater protection on your dreams. This is due to the high passing rate of our study materials. Our AAISM study materials selected the most professional team to ensure that the quality of the AAISM study guide is absolutely leading in the industry, and it has a perfect service system. The focus and seriousness of our AAISM Study Materials gives it a 99% pass rate. Using our products, you can get everything you want, including your most important pass rate. Our AAISM actual exam is really a good helper on your dream road.
ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q48-Q53):NEW QUESTION # 48
Which of the following is the GREATEST benefit of implementing an AI tool to safeguard sensitive data and prevent unauthorized access?
  • A. Reduced need for data classification
  • B. Timely initiation of incident response
  • C. Timely analysis of endpoint activities
  • D. Reduced number of false positives
Answer: D
Explanation:
The AAISM study materials highlight that AI-powered security tools provide the greatest benefit by reducing false positives in monitoring and access control systems. This improves efficiency, prevents alert fatigue, and enables security teams to focus on true threats. While timely analysis and incident response are benefits, they are not unique to AI-based tools and can be achieved with traditional methods. AI also does not remove the need for data classification, as classification underpins governance and compliance. The standout advantage is the improved accuracy and reduced false positives provided by AI.
References:
AAISM Study Guide - AI Technologies and Controls (Security Tools and Access Management) ISACA AI Security Management - Benefits of AI-Enabled Security

NEW QUESTION # 49
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?
  • A. Absence of metrics and dashboard for analysts
  • B. Lack of sufficient computing resources for the AI system
  • C. Insufficient model validation and change control processes
  • D. Excessive reliance on external consultants for model design
Answer: C
Explanation:
AAISM requires formal model change governance: documented justification, risk assessment, validation
/verification (V&V), approvals, and post-deployment monitoring when altering features, thresholds, or signals. Disabling risk indicators to reduce false positives without rigorous validation and controlled rollout reflects a failure in model validation and change control, which AAISM treats as a core safeguard against unintended harms and regulatory breaches.
References: AI Security Management (AAISM) Body of Knowledge - Model Risk Governance; Change Management & Approvals; Validation/Verification Requirements. AAISM Study Guide - Control Gates for Feature/Threshold Changes; Post-Change Monitoring and Backout Criteria.

NEW QUESTION # 50
A global organization has experienced multiple incidents of staff copying confidential data into public chatbots and acting on the model outputs. Which of the following is MOST important to reduce short-term risk when launching an AI security awareness initiative?
  • A. Requiring employees to complete an annual generic phishing and deepfake awareness module
  • B. Publishing an AI acceptable use policy and collecting e-signatures of employees
  • C. Delivering role-based and scenario-driven AI security training mapped to policy and job functions
  • D. Blocking access to public large language models (LLMs) at the network perimeter
Answer: C
Explanation:
AAISM prescribes targeted, role-based, scenario-driven training aligned to policy and job tasks as the highest-impact near-term intervention for human-factor AI risks. By mapping concrete "do/don't" behaviors (e.g., what data may/may not be pasted into public chatbots, required redaction steps, approved tools, verification of outputs) to specific roles, organizations rapidly reduce incident likelihood and harmful actions.
* A (blocking) is a technical containment option but is not an awareness-initiative control and may cause workarounds; AAISM treats it as complementary, not a substitute for behavior change.
* B generic modules fail to address the specific misuse pattern.
* D signatures provide attestations without ensuring comprehension or changed behavior.
References:* AI Security Management (AAISM) Body of Knowledge: Human-centric Controls-Role- based training, policy-to-practice mapping, and scenario exercises for rapid risk reduction.* AI Security Management Study Guide: Awareness program design for generative AI misuse; behavior-anchored training outcomes.

NEW QUESTION # 51
Which of the following technologies can be used to manage deepfake risk?
  • A. Systematic data tagging
  • B. Blockchain
  • C. Multi-factor authentication (MFA)
  • D. Adaptive authentication
Answer: B
Explanation:
The AAISM study material highlights blockchain as a control mechanism for managing deepfake risk because it provides immutable verification of digital media provenance. By anchoring original data signatures on a blockchain, organizations can verify authenticity and detect tampered or synthetic content. Data tagging helps organize but does not guarantee authenticity. MFA and adaptive authentication strengthen identity security but do not address content manipulation risks. Blockchain's immutability and traceability make it the recognized technology for mitigating deepfake challenges.
References:
AAISM Study Guide - AI Technologies and Controls (Emerging Controls for Content Authenticity) ISACA AI Governance Guidance - Blockchain for Data Integrity and Deepfake Mitigation

NEW QUESTION # 52
Which of the following would BEST help to prevent the compromise of a facial recognition AI system through the use of alterations in facial appearance?
  • A. Monitoring the system for misuse cases
  • B. Implementing a secondary AI system to confirm images
  • C. Fine-tuning the AI model to decrease hallucinations
  • D. Enhancing training data to increase variance
Answer: D
Explanation:
AAISM materials note that adversaries may attempt to bypass facial recognition by disguising or altering appearance. The most effective mitigation is to enhance training data with a wide range of variances in facial features, lighting, and disguises so the system can robustly detect authentic users despite adversarial attempts.
Monitoring and secondary confirmation are supportive controls but are reactive. Fine-tuning to reduce hallucinations is irrelevant in this context, as hallucinations apply more to generative AI. The best preventive measure is strengthening the model with diverse, variance-rich training data.
References:
AAISM Study Guide - AI Technologies and Controls (Robust Training Data Strategies) ISACA AI Security Management - Biometric AI Security Risks

NEW QUESTION # 53
......
ISACA Advanced in AI Security Management (AAISM) Exam AAISM answers real questions can help candidates have correct directions and prevent useless effort. If you still lack of confidence in preparing your exam, choosing a good ISACA AAISM Answers Real Questions will be a wise decision for you, it is also an economical method which is saving time, money and energy.
Reliable AAISM Test Testking: https://www.itcertking.com/AAISM_exam.html
P.S. Free 2026 ISACA AAISM dumps are available on Google Drive shared by Itcertking: https://drive.google.com/open?id=1gfWrPUlfUvRiSsm1_BCrllJddGNLawuR
https://www.freedumps.top
Reply

Use props Report

Return to List
High mode
B Color Image Link Quote Code Smilies
You need to log in before you can reply Login | Register

This forum Credits Rules

  •  

Service Hotline : (+86)18688117175
Contact us
E-mail : global@t-firefly.com
Copyright © 2014-2022, FIREFLY TECHNOLOGY CO.,LTD. All Rightts Reserved. 粤ICP备14022046号-2
Quick Reply Back to top Back to list