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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Securing AI Systems | 40% | - Adversarial Defense
|
| Topic 2: Basic AI Concepts Related to Cybersecurity | 17% | - AI Threat Landscape
|
| Topic 3: AI Governance, Risk, and Compliance | 19% | - AI Governance Frameworks
|
| Topic 4: AI-Assisted Security | 24% | - Security Operations Enhancement
|
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NEW QUESTION # 160
An administrator, who works for a financial institution, is required to implement data security controls for data at rest within AI systems that involve data disclosure.
Which of the following is the most suitable control?
Answer: C
Explanation:
Basic Concept: Data at rest refers to inactive data stored in databases or storage media. Protecting it from unauthorized disclosure is a fundamental data security principle covered in the CompTIA SecAI+ Study Guide under securing AI data pipelines.
Why C is Correct: Encryption protects data at rest by rendering it unreadable to unauthorized parties without the appropriate decryption key. In a financial institution with sensitive data, encryption at rest (e.g., AES-256) is the primary control against data disclosure. Even if storage media is physically compromised, encrypted data remains unintelligible. CompTIA SecAI+ Exam Objectives highlight encryption as the primary confidentiality control for stored AI data.
Why A is Wrong: Data lineage tracks the origin and movement of data throughout its lifecycle. It improves traceability and auditability but does not prevent unauthorized disclosure of data at rest.
Why B is Wrong: Rate limits control the number of API requests within a time period. They protect against abuse and denial-of-service scenarios, not data-at-rest confidentiality.
Why D is Wrong: Data masking replaces sensitive values with fictitious substitutes, useful during development or testing. For actual production data at rest in AI systems handling real financial records, encryption provides stronger and more comprehensive confidentiality.
NEW QUESTION # 161
A security analyst is aware of an active penetration test in the environment. The analyst examines security information and event management (SIEM) log data and notices the following output from the AI system:
Which of the following is the vulnerability that has occurred and the control the analyst should implement?
Answer: A
Explanation:
The log data reveals personally identifiable information (PII) such as name, address, and a full credit card number. This represents a sensitive information disclosure vulnerability. The appropriate control is data masking, which protects sensitive data in logs and outputs while still allowing necessary system monitoring.
NEW QUESTION # 162
A company uses human review for software development validation and wants to add another validation layer.
Which of the following should a security administrator use to accomplish this task?
Answer: A
Explanation:
Basic Concept: Adding validation layers to software development processes improves security assurance by catching issues that human reviewers might miss. AI-assisted validation provides an automated, systematic review that complements human judgment. CompTIA SecAI+ Study Guide covers AI-assisted development security controls.
Why A is Correct: AI-assisted approval adds an intelligent automated review layer that works alongside existing human review. AI can systematically analyze code for security vulnerabilities, coding standard violations, dependency risks, and policy compliance with greater consistency and speed than manual review.
This creates a defense-in-depth validation approach where both AI and human reviewers must approve changes, catching issues that either layer might miss independently.
Why B is Wrong: A low-code plug-in provides simplified visual development tools that reduce the amount of manual code writing required. It is a development productivity tool, not a security validation layer for reviewing already-written code.
Why C is Wrong: Automated rollback is a deployment safety mechanism that reverts a deployment to the previous version when errors are detected after deployment. It is a recovery control, not a validation layer applied during the development review process.
Why D is Wrong: Regression testing verifies that new code changes have not broken existing functionality. It tests functional correctness, not security vulnerabilities, and does not add an AI-powered security validation capability to the existing human review process.
NEW QUESTION # 163
An IT company implements an adaptable chatbot that learns from user prompts. Based on the conversation shown - where User 2 injected false information about a company acquisition that caused the chatbot to give incorrect responses to User 3 - which of the following compensating controls should an administrator implement to mitigate the issue?
Answer: C
NEW QUESTION # 164
A legal firm permits employees to use a company-authorized chatbot for their research and reporting. In the past year, the firm had to retract some of its released documents because of incorrect references.
Which of the following best describes the weakness that caused this issue?
Answer: C
Explanation:
Overreliance occurs when users place excessive trust in AI-generated output without performing sufficient independent verification. The scenario indicates that employees used a chatbot for research and reporting and subsequently published documents containing incorrect references. That pattern strongly indicates that AI- generated citations or factual claims were accepted without adequate human validation. CompTIA SecAI+ explicitly lists overreliance among attacks and weaknesses that security professionals must recognize when analyzing AI systems. Generative AI systems can produce hallucinated or inaccurate citations that appear credible, which is why human oversight and human validation remain important lifecycle controls. Insecure output handling instead concerns unsafe downstream processing of model output, such as executing generated code or passing untrusted output into another system without validation. Excessive agency occurs when an AI system has more autonomous permissions or capabilities than necessary. Sensitive information disclosure involves exposing protected or confidential information. None of those conditions explains publication of believable but inaccurate references as directly as overreliance. Appropriate mitigation includes independent verification, authoritative-source validation, human review, and monitoring AI output for accuracy and hallucinations before publication.
NEW QUESTION # 165
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