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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Securing AI Systems | 40% | - Adversarial Defense
|
| Topic 2: AI Governance, Risk, and Compliance | 19% | - Risk and Compliance
|
| Topic 3: AI-Assisted Security | 24% | - Operational Use of AI
|
| Topic 4: Basic AI Concepts Related to Cybersecurity | 17% | - AI Threat Landscape
|
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NEW QUESTION # 93
Which of the following helps end users within an organization the most in safeguarding against the risk of AI- related non-compliance?
Answer: C
Explanation:
Basic Concept: End users are the employees who interact with AI systems daily and may inadvertently create compliance risks through their AI usage behaviors. Equipping users with clear guidance on acceptable and compliant AI use is the most effective way to reduce compliance violations at the user level. CompTIA SecAI+ Study Guide emphasizes policies and procedures as the foundational compliance tool for end users.
Why B is Correct: Policies and procedures directly inform end users of what AI-related behaviors are compliant, what is prohibited, and how to use AI tools safely and legally. Comprehensive AI usage policies covering acceptable use, data handling requirements, prohibited data inputs, and reporting obligations give users the knowledge they need to avoid compliance violations. Without clear policies, users cannot reliably identify compliant from non-compliant behavior.
Why A is Wrong: An AI center of excellence governs AI adoption at the organizational level, developing standards and approving use cases. While it benefits the organization overall, its governance activities are directed at organizational processes and technical standards rather than providing direct day-to-day compliance guidance to individual end users.
Why C is Wrong: Data loss prevention (DLP) technology automatically prevents the transmission of sensitive data through monitoring and blocking capabilities. While effective at preventing certain compliance violations technically, it cannot guide users on why certain behaviors are non-compliant or how to make compliant choices in situations DLP doesn ' t cover.
Why D is Wrong: MFA secures user authentication and prevents unauthorized account access. It is an identity security control that protects accounts, not a mechanism that helps users understand or comply with AI governance requirements.
NEW QUESTION # 94
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
Explanation:
Basic Concept: A chatbot that learns from user prompts is vulnerable to data poisoning through conversational injection. Malicious users can deliberately introduce false information that the chatbot incorporates into its knowledge, corrupting responses for subsequent users. CompTIA SecAI+ Study Guide identifies this as a real-time data poisoning vector requiring guardrail controls.
Why D is Correct: Guardrails prevent the chatbot from accepting and incorporating unverified, irrelevant, or potentially malicious information injected by users. They enforce boundaries on what the chatbot can learn from user interactions, validate that information aligns with the system ' s purpose and known facts, and block outputs based on poisoned knowledge. Guardrails are specifically designed to prevent the type of conversational data poisoning demonstrated where a user ' s false claim corrupted the model ' s subsequent responses.
Why A is Wrong: Data encryption protects the confidentiality of data in transit and at rest. It does not prevent a chatbot from accepting and acting on false information that users deliberately inject into the conversation.
Why B is Wrong: API rate limiting restricts the frequency of requests. While it can limit the number of poisoning attempts a single user can make, it does not prevent the chatbot from learning from and propagating false information when requests are made at an acceptable rate.
Why C is Wrong: Transfer learning is a training technique that adapts knowledge from one domain to another.
It is a model development approach, not a runtime control that prevents users from injecting false information into a deployed chatbot.
NEW QUESTION # 95
A critical AI system cannot be shut down and must remain secure. Which of the following actions should be performed to apply controls?
Answer: A
Explanation:
Option B is correct because patching critical vulnerabilities directly removes or reduces known exploitable weaknesses while allowing the essential AI service to remain available. The organization should prioritize patches according to exploitability and impact, test them in a representative environment, use redundancy or rolling deployment where possible, and verify that remediation succeeded. Option A would weaken confidentiality and create an additional security exposure; encryption is not the obstacle to secure continuous operation. Option C is valuable as a detective control because log analysis can reveal abnormal activity, but it does not remediate a known critical vulnerability. Option D redeploys the production model, which may restore model files or configuration, but it does not necessarily update the vulnerable operating system, library, container, API, or orchestration component. For a system that cannot be shut down, the correct strategy is controlled patch management supported by high availability, maintenance coordination, monitoring, and rollback capability. NIST describes enterprise patch management as preventive maintenance that reduces the likelihood of compromise, breaches, and operational disruption.
NEW QUESTION # 96
Which of the following is most resistant to AI manipulation?
Answer: E
Explanation:
Basic Concept: AI manipulation attacks exploit vulnerabilities in systems, interfaces, and content. Some security approaches are inherently more resistant to AI-driven attacks because they reduce the available avenues through which manipulation can occur, rather than attempting to detect or block individual attacks.
CompTIA SecAI+ Study Guide covers defensive strategies for AI system protection.
Why D is Correct: Attack surface reduction minimizes the number of entry points, interfaces, and components available for exploitation. By eliminating unnecessary services, APIs, integrations, and features, it reduces the total number of pathways through which AI-driven manipulation attacks can be attempted. Unlike signature- based or behavioral detection, attack surface reduction provides structural resistance regardless of how sophisticated or novel the AI manipulation technique is.
Why A is Wrong: Payloads are the malicious content used in attacks, not a defensive control. Attackers using AI can generate increasingly sophisticated payloads designed to evade detection, making them highly susceptible to AI-driven manipulation rather than resistant to it.
Why B is Wrong: AI-generated content is a product of AI systems and can itself be manipulated or weaponized by adversarial AI. It is not a defense mechanism and is inherently vulnerable to AI-driven manipulation and poisoning.
Why C is Wrong: An API gateway provides a managed access point for API traffic with authentication and filtering capabilities. However, APIs are primary attack targets for AI manipulation and require ongoing security updates. API gateways are less fundamentally resistant than structural attack surface reduction.
Why E is Wrong: Antivirus relies on signatures and behavioral heuristics to detect known malware. AI- powered attacks can generate novel, polymorphic payloads that evade signature detection, making antivirus less resistant to AI manipulation than attack surface reduction.
NEW QUESTION # 97
An organization deploys a browser-based AI plug-in to detect malicious websites and phishing links in corporate email.
Which of the following techniques is used in this AI plug-in?
Answer: B
Explanation:
Basic Concept: AI-based security tools for detecting malicious websites and phishing links operate by analyzing URLs, page content, and link characteristics against known malicious patterns and behavioral signatures. CompTIA SecAI+ Study Guide covers pattern recognition and signature matching as fundamental AI-assisted threat detection techniques.
Why B is Correct: Pattern recognition and signature matching are the core techniques used in malicious website and phishing link detection. The AI plug-in uses pattern recognition to identify characteristics of phishing pages such as login form structures mimicking legitimate sites, suspicious domain patterns, and redirect behaviors. Signature matching compares URLs and page content against databases of known malicious sites and phishing infrastructure. Together these techniques enable accurate detection of threats in email links before users click them.
Why A is Wrong: Code quality testing analyzes source code for bugs, vulnerabilities, and adherence to coding standards during software development. It has no application for detecting malicious websites or phishing links in real-time email scanning.
Why C is Wrong: Automated penetration testing proactively exploits vulnerabilities to assess security posture.
It is an offensive security assessment technique, not a real-time threat detection technique for identifying malicious links in email.
Why D is Wrong: Automated incident response executes predefined response actions when security incidents are detected, such as isolating endpoints or blocking users. It operates after threats are detected, not during the detection phase that identifies malicious websites and links.
NEW QUESTION # 98
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