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| Section | Weight | Objectives |
|---|---|---|
| AI Risk Management | 31% | - AI Threats and Vulnerabilities
|
| AI Governance and Program Management | 31% | - AI Strategy and Policy
|
| AI Technologies and Controls | 38% | - Data and Model Controls
|
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NEW QUESTION # 173
A CISO learns that a video showing an unverified safety issue with the organization's key product has gone viral. The individual in the video often appears to be blurry, and the video contains random lower-quality sections throughout. Which type of threat is this MOST likely an example of?
Answer: A
Explanation:
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.
NEW QUESTION # 174
When evaluating a third-party AI service provider, which of the following master services agreement provisions is MOST critical for managing security risk?
Answer: D
Explanation:
The most material contractual control for reducing security and privacy risk in outsourced AI services is a data-use restriction that prohibits the provider from using customer data for model training (and from derivative model improvements) unless explicitly authorized. This prevents unintended secondary processing, model inversion exposure of proprietary data, unauthorized profiling, and downstream data proliferation across multi-tenant systems. AAISM positions third-party risk controls to prioritize data minimization, purpose limitation, confidentiality, and downstream controls; among common MSA provisions, data-use limitations directly constrain the provider's technical and organizational handling of sensitive inputs, making it the highest-impact risk-reducing clause. Query throttling (B) and logging (C) are useful operational controls but are secondary to legal/processing authority. Unlimited retraining (D) increases attack surface and cost without addressing the core risk of misuse of customer data.
References: AI Security Management (AAISM) Body of Knowledge - Third-Party & Supply-Chain Governance; Contractual Controls for AI Services; Data Minimization and Purpose Limitation. AAISM Study Guide - Procurement & MSA/DPA Clauses for AI; Provider Model Training and Data-Use Restrictions; Privacy & Confidentiality Safeguards in Outsourced AI.
NEW QUESTION # 175
Cybersecurity teams should FIRST be embedded in the:
Answer: D
Explanation:
AAISM stresses that security must be embedded from the earliest phase-design, ensuring:
* threat modeling
* secure architecture
* data protection requirements
* system boundaries
* security-by-design principles
Introducing cybersecurity later increases unmitigated vulnerabilities.
Testing (A), training (C), and deployment (B) occur after foundational security decisions have already been made.
References: AAISM Study Guide - Secure AI Lifecycle; Early Security Involvement.
NEW QUESTION # 176
An organization has requested a developer to apply AI algorithms to existing modules in order to improve customer service quality. At this stage, which of the following should be considered FIRST?
Answer: D
Explanation:
According to AAISM governance principles, when AI functionality is added to existing services, the first consideration is contractual and service-level accountability. If AI outputs cannot be predefined, the existing service agreements may no longer reflect performance responsibilities or liability. Revising or updating the agreement ensures governance alignment, accountability, and risk management for AI-driven behavior.
Phased approaches and performance explanations are valuable but occur later in project management.
Developer accountability for customer inquiries is not a primary governance step. The most immediate consideration is revising service agreements when AI introduces new uncertainties.
References:
AAISM Exam Content Outline - AI Governance and Program Management (Policies and Service Agreements) AI Security Management Study Guide - Accountability in AI Deployments
NEW QUESTION # 177
Which of the following AI-specific security monitoring metrics BEST enables the real-time detection of attempts to evade an AI model?
Answer: D
Explanation:
Evasion attacks typically involve crafted anomalous inputs designed to manipulate the AI model into producing incorrect or unexpected outputs. Monitoring for anomalous input patterns that result in unusual model behavior provides the most effective real-time indicator of attempted evasion attacks.
NEW QUESTION # 178
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