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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Basic AI Concepts Related to Cybersecurity | 17% | - AI applications in security
|
| Topic 2: Securing AI Systems | 40% | - Defending against AI-specific attacks
|
| Topic 3: AI-assisted Security | 24% | - AI for threat detection and response
|
| Topic 4: AI Governance, Risk and Compliance | 19% | - Risk management for AI
|
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NEW QUESTION # 68
A company is adopting AI and wants to create policies and procedures that include a structure for evaluating, publishing, and approving patterns for AI usage.
Which of the following should the company establish to meet this goal?
Answer: D
Explanation:
Basic Concept: Successful AI adoption at an organizational level requires a centralized governance body that standardizes AI practices, promotes best practices, and ensures consistent, safe, and effective AI deployment across the organization. CompTIA SecAI+ Study Guide covers AI organizational governance structures under Domain 4.
Why A is Correct: An AI Center of Excellence (CoE) is an organizational unit specifically designed to govern, standardize, and advance AI adoption. It develops and publishes policies, creates approved patterns for AI usage, evaluates new AI use cases, provides expert guidance, and maintains governance oversight. The CoE exactly matches the described need for a structure to evaluate, publish, and approve AI usage patterns across the organization.
Why B is Wrong: An AI legal affairs office focuses on legal compliance, intellectual property, and regulatory matters related to AI. While important for legal risk management, it does not fulfill the broader governance mandate of establishing and approving AI usage patterns and best practices across the organization.
Why C is Wrong: An AI audit department conducts post-implementation reviews and compliance assessments of existing AI systems. It is a retrospective and oversight function rather than a proactive body for developing and approving AI usage patterns and policies.
Why D is Wrong: An AI data science division is a technical team focused on building AI models and solutions. It is a development function rather than a governance structure designed to create policies, evaluate AI patterns, and provide cross-organizational oversight of AI adoption.
NEW QUESTION # 69
Users report that the output of a generative AI application seems unrelated to the prompts and contains offensive content. A security team investigates and determines that there was an on- path attack. Which of the following is the most likely attack method?
Answer: D
Explanation:
In an on-path attack, an adversary intercepts and manipulates traffic between the user and the AI system. Session hijacking allows the attacker to inject or alter prompts and responses, leading to unrelated or offensive output.
NEW QUESTION # 70
Which of the following controls is the best way to mitigate a denial-of-service (DoS) attack?
Answer: B
Explanation:
Rate limiting restricts the number of requests within a set timeframe, preventing attackers from overwhelming the system with excessive traffic, making it the best control to mitigate a DoS attack.
NEW QUESTION # 71
Before submitting code to the upstream code repository, a security administrator wants to implement the following:
* Comments describing the inputs, outputs, and purpose of code blocks
* Recommendations for code security
Which of the following should the administrator implement to address both requirements?
Answer: B
Explanation:
An AI-enabled IDE plug-in is the best choice because it operates directly in the developer ' s coding environment before code is submitted to the upstream repository. It can analyze source code while it is being created, generate or improve comments describing functions, inputs, outputs, and code-block purpose, and simultaneously provide security recommendations for potentially vulnerable or unsafe code. This directly addresses both requirements at the appropriate stage of the development workflow. CompTIA SecAI+ explicitly includes IDE plug-ins among AI-enabled tools and identifies code quality, linting, and vulnerability analysis as AI-assisted security use cases. A machine-learning code checker may identify defects but does not necessarily generate useful documentation. A CLI-based add-on could perform some analysis, but it is less naturally integrated into the developer ' s authoring workflow. A repository runner generally operates after code has reached a repository or pipeline. The IDE plug-in therefore provides the most immediate combination of documentation assistance and secure-coding guidance before submission.
NEW QUESTION # 72
For which of the following situations would a human-in-the-loop be most recommended?
Answer: C
NEW QUESTION # 73
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