DEMO QUESTIONS

Q1:

Which of the following is the MOST effective action an organization can take to address data security risk when using generative AI features in an application?

A: Rely on the AI provider's independent third-party audit reports for assurance

B: Establish policies and awareness training for acceptable use of AI

C: Require opt-out provisions for data usage in service agreements

D: Establish guidelines and best practices with third parties for intellectual property ownership

Correct Answer: C
AAISM directs organizations to manage third-party AI risks through contractual and technical controls that explicitly govern data use, retention, training/fine-tuning, isolation, and deletion. The most effective data-security action when consuming generative AI features is to require enforceable opt-out provisions that prohibit the provider from using the organization’s data for training or secondary purposes and that mandate retention limits and secure deletion. Third-party audit reports (A) provide assurance but do not guarantee provider behavior for your specific data; awareness policies (B) are necessary but insufficient to control external processing; IP ownership guidelines (D) address legal rights, not data-security risk.

Q2:

When addressing privacy concerns related to AI, what is the GREATEST significance of user consent?

A: It prevents unauthorized access to data

B: It enables deletion/modification of personal data

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

D: It helps detect bias and ensure fairness

Correct Answer: C
AAISM clarifies that the primary regulatory purpose of user consent is to provide lawful authorization for processing personal data, including use in AI models.

Consent does not directly prevent unauthorized access (A). Deletion rights (B) relate to data subject rights but are not the purpose of consent. Bias detection (D) is unrelated.

Q3:

What is the GREATEST benefit of performing AI security risk assessments?

A: Updating the risk register

B: Implementing privacy controls

C: Enabling risk prioritization

D: Securing appropriate funding

Correct Answer: C
AAISM emphasizes that the primary value of AI security risk assessments is prioritizing risks based on likelihood, impact, and business relevance.

Updating the register (A) is administrative. Privacy controls (B) are one category of mitigation. Funding (D) is possible but not the primary purpose.

Q4:

A viral video shows a blurry person making claims about a product safety issue. The video has random low-quality sections. This MOST likely represents what threat?

A: Hallucinations

B: Model drift

C: Data poisoning

D: Deepfake

Correct Answer: D
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.

Hallucinations (A) relate to model outputs, not video manipulation. Drift (B) affects model performance. Poisoning (C) affects training data, not video content.

Q5:

An organization deploying an LLM is concerned input manipulations could compromise security. What is the MOST effective way to determine an acceptable risk threshold?

A: Deploy real-time logging and monitoring

B: Restrict all inputs containing special characters

C: Assess the business impact of known threats

D: Implement a static threshold limiting LLM outputs

Correct Answer: C
AAISM instructs that acceptable risk thresholds must be determined using business impact analysis. This aligns with the broader enterprise risk management principle of defining tolerances based on:

* potential harm

* regulatory exposure

* financial impact

* operational disruption

Monitoring (A) detects attacks but does not set thresholds. Blocking special characters (B) is unrealistic and overly restrictive. Static thresholds (D) ignore business context and practicality.

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