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It is seen as a challenging task to pass the AAISM exam. Tests like these demand profound knowledge. The ISACA AAISM certification is absolute proof of your talent and ticket to high-paying jobs in a renowned firm. ISACA Advanced in AI Security Management (AAISM) Exam AAISM test every year to shortlist applicants who are eligible for the AAISM exam certificate.
| Certification Vendor: | ISACA |
|---|---|
| Exam Name: | Advanced in AI Security Management (AAISM) Exam |
| Exam Number: | AAISM |
| Exam Price: | USD 459 (member) / USD 599 (non-member) |
| Exam Format: | Multiple-choice questions |
| Certificate Validity Period: | 3 years (continuing professional education required for renewal) |
| Passing Score: | 450/800 |
| Related Certifications: | CISM CISSP |
| Real Exam Qty: | 90 |
| Exam Duration: | 150 minutes |
| Available Languages: | English, Spanish |
| Recommended Training: | ISACA Official Training & Review Materials |
| Exam Registration: | ISACA AAISM Credentialing Page |
| Sample Questions: | ISACA AAISM Sample Questions |
| Exam Way: | Computer-based exam (online proctored or authorized test center) |
| Pre Condition: | Recommended: Active CISM or CISSP certification and experience in IT/security management or advisory roles |
| Official Syllabus URL: | https://www.isaca.org/credentialing/aaism |
>> Free Sample AAISM Questions <<
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NEW QUESTION # 294
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?
Answer: B
Explanation:
According to the AAISM framework, prompt injection is the act of deliberately crafting malicious or manipulative inputs to override, bypass, or exploit the model's intended controls. In this case, the attacker is targeting the integrity of the model's outputs by exploiting weaknesses in how it interprets and processes prompts. Jailbreaking is a subtype of prompt injection specifically designed to override safety restrictions, while evasion attacks target classification boundaries in other ML contexts, and remote code execution refers to system-level exploitation outside of the AI inference context. The most accurate classification of this attack is prompt injection.
NEW QUESTION # 295
A red team tests an AI chatbot by simulating adversarial suffix attacks and multilingual inputs.
Which of the following is the PRIMARY goal of this exercise?
Answer: C
Explanation:
Adversarial suffix attacks and multilingual input manipulation are commonly used to test whether an AI chatbot can be tricked into bypassing safeguards or executing unintended behavior. The primary goal is to evaluate the chatbot's resilience against prompt injection and adversarial manipulation techniques.
NEW QUESTION # 296
An organization utilizes AI-enabled mapping software to plan routes for delivery drivers. A driver following the AI route drives the wrong way down a one-way street, despite numerous signs.
Which of the following biases does this scenario demonstrate?
Answer: C
Explanation:
AAISM defines automation bias as the tendency of individuals to over-rely on AI-generated outputs even when contradictory real-world evidence is available. In this scenario, the driver ignores traffic signs and follows the AI's instructions, showing blind reliance on automation.
Selection bias relates to data sampling, reporting bias refers to misrepresentation of results, and confirmation bias involves interpreting information to fit pre-existing beliefs. The most accurate description is automation bias.
NEW QUESTION # 297
A newly hired programmer suspects that the organization's AI solution is inferring users' sensitive information and using it to advise future decisions. Which of the following is the programmer's BEST course of action?
Answer: C
Explanation:
AAISM directs personnel to use established AI governance channels for suspected privacy, ethics, or compliance risks. The governance panel (risk, privacy, legal/compliance, security, product/data science) is chartered to triage, record, investigate, and direct remediation for potential inference of sensitive attributes and resulting decision impacts. Direct technical action (A or C) bypasses due process and accountability; escalating directly to a single executive (B) lacks the structured, cross-functional oversight required for regulated and ethical AI risk handling.
References:AI Security Management™ (AAISM) Body of Knowledge: AI Governance Operating Model; Roles & Responsibilities; Risk Intake and Triage for Privacy/Inference Risks.AAISM Study Guide: Ethics & Responsible AI Escalation Pathways; Governance Board Procedures; Documentation and Decision Records.
NEW QUESTION # 298
Which strategy BEST ensures generative AI tools do not expose company data?
Answer: C
Explanation:
AAISM identifies the strongest immediate control for preventing data leakage into generative AI systems as technically restricting or blocking user entry of sensitive data.
Audits (A) are retrospective. Testing tools (C) does not prevent user error. Regulatory compliance (D) does not stop operational leakage.
References: AAISM Study Guide - Data Leakage Prevention and Input Restriction Controls.
NEW QUESTION # 299
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