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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Governance, Risk, and Compliance | 19% | - Risk and Compliance
|
| Topic 2: AI-Assisted Security | 24% | - Security Operations Enhancement
|
| Topic 3: Basic AI Concepts Related to Cybersecurity | 17% | - AI Threat Landscape
|
| Topic 4: Securing AI Systems | 40% | - Adversarial Defense
|
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NEW QUESTION # 13
An organization wants to reduce vulnerabilities after deployment. The organization decides to incorporate an AI-assisted early detection and vulnerability identification process in its development workflow.
Which of the following AI-assisted functions is the best option?
Answer: C
Explanation:
Basic Concept: Reducing post-deployment vulnerabilities requires catching security issues as early as possible in the development workflow. AI-assisted tools that analyze code during development provide the earliest possible intervention point. CompTIA SecAI+ Study Guide covers AI integration in secure development under AI-assisted security.
Why A is Correct: AI-assisted code linting analyzes source code in real time during development to identify security vulnerabilities, insecure coding patterns, policy violations, and quality issues before code is compiled or committed. By catching vulnerabilities at the coding stage - the earliest possible point in the development workflow - AI code linting prevents vulnerable code from progressing to testing, staging, or production, directly reducing post-deployment vulnerabilities at their source.
Why B is Wrong: Incident management handles security events and incidents after they have occurred in production. It is a reactive capability focused on response and recovery rather than early-stage vulnerability identification in the development workflow.
Why C is Wrong: Automated deployment/rollback automates the process of pushing code to production and reverting to previous versions when issues are detected post-deployment. It is a deployment safety mechanism rather than an early detection tool during the development phase.
Why D is Wrong: System auditing reviews and records system activities and configurations for compliance verification. It is primarily a detective and compliance control for systems that are already deployed, not an early development-phase vulnerability identification tool.
NEW QUESTION # 14
A security analyst is preparing a presentation for the sales team that describes the most common vulnerabilities that are specific to AI applications.
Which of the following is the best source for the analyst to consult?
Answer: D
Explanation:
Basic Concept: Identifying AI-specific application vulnerabilities requires consulting a resource that has cataloged and documented the unique vulnerability types that affect AI systems, particularly LLMs. Different security standards serve different purposes, and selecting the right reference for AI application vulnerabilities is essential. CompTIA SecAI+ Study Guide references OWASP for AI application vulnerability guidance.
Why C is Correct: OWASP maintains the OWASP Top 10 for Large Language Model Applications, which specifically catalogs the most critical and common vulnerabilities in AI applications including prompt injection, sensitive information disclosure, excessive agency, insecure output handling, and training data poisoning. This AI-specific vulnerability list is the most directly relevant and accessible resource for a presentation on AI application vulnerabilities.
Why A is Wrong: ISO 27001 is a general information security management system standard covering broad organizational security controls. It does not specifically catalog AI application vulnerabilities or LLM-specific weakness categories.
Why B is Wrong: CWE catalogues software weakness types at a code and design level for traditional software. While some weaknesses apply to AI systems, CWE does not have a dedicated AI application vulnerability taxonomy comparable to the OWASP LLM Top 10.
Why D is Wrong: NIST RMF is a risk management framework providing guidance for managing and reducing information security risk. It is a process framework, not a vulnerability catalog, and does not list specific AI application vulnerability types suitable for a vulnerabilities presentation.
NEW QUESTION # 15
A security operations center (SOC) analyst needs to automate multiple security tasks by breaking them down into smaller parts. Which of the following AI tools is the best for this task?
Answer: D
Explanation:
Agentic AI is designed to autonomously break down complex tasks into smaller steps and execute them in sequence. This makes it the best tool for automating multiple security tasks in a SOC environment.
NEW QUESTION # 16
A team of data scientists is ready to release a model for enterprise use. The team wants to protect the model from unintentional changes or tampering. Which of the following is the most appropriate action?
Answer: D
Explanation:
Protecting the model from tampering requires controlled and auditable access. By integrating the model with an API secured by IAM roles, only authenticated and authorized users or systems can interact with it, ensuring integrity and preventing unauthorized changes.
NEW QUESTION # 17
Which of the following attacks would be the best to automate with AI during dynamic application software testing (DAST)?
Answer: D
Explanation:
During DAST, automating the generation of diverse, targeted attack payloads lets testers probe runtime inputs (e.g., XSS, SQLi, command injection) more thoroughly and discover vulnerabilities that manual or static tests might miss.
NEW QUESTION # 18
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