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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Securing AI Systems | 40% | - Security controls for AI systems
|
| Topic 2: AI Governance, Risk and Compliance | 19% | - Compliance and legal requirements
|
| Topic 3: Basic AI Concepts Related to Cybersecurity | 17% | - AI applications in security
|
| Topic 4: AI-assisted Security | 24% | - Security automation and orchestration
|
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質問 # 134
Which of the following controls is the best way to mitigate a denial-of-service (DoS) attack?
正解：C
解説：
Basic Concept: DoS attacks overwhelm AI systems by sending excessive requests that exhaust computational resources, memory, or bandwidth, preventing legitimate users from being served. The primary defense against volume-based attacks is throttling the rate at which requests can be processed. CompTIA SecAI+ Exam Objectives identify rate limiting as the key DoS mitigation control for AI systems.
Why B is Correct: Rate limiting directly addresses the root mechanism of DoS attacks by restricting the number of requests any single client or IP address can submit within a defined time window. By enforcing request quotas, rate limiting prevents attackers from generating the request volume necessary to overwhelm the system while preserving capacity for legitimate users. It is the most direct and effective preventive control against DoS attacks on AI APIs and services.
Why A is Wrong: Model guardrails inspect and filter the content of prompts and responses for policy compliance and safety. They operate at the semantic content level, not at the request volume level, and cannot prevent resource exhaustion from high-volume request flooding.
Why C is Wrong: End-to-end encryption protects the confidentiality and integrity of data in transit. Encrypted DoS traffic is just as damaging as unencrypted traffic; encryption does not limit request rates or prevent resource exhaustion.
Why D is Wrong: Access controls restrict who can interact with the system, which can reduce the potential attacker pool. However, authenticated users and compromised accounts can still launch DoS attacks, and access controls alone cannot prevent high-volume attacks from authorized sources.
質問 # 135
Faculty members at a university are concerned about potential inherent bias and inconsistency in one department's AI plagiarism detection service.
Which of the following principles will most likely to address their concerns?
正解：C
解説：
Consistency ensures that an AI system applies rules and produces results in a uniform manner across all cases. This principle directly addresses concerns about bias and irregular outcomes in the plagiarism detection service.
質問 # 136
A security analyst needs to conduct a security assessment of the output from an AI-enabled development tool.
Which of the following should the analyst do first?
正解：D
解説：
Basic Concept: Security assessment of AI-generated code requires a systematic review of the code itself to understand what has been generated and identify potential vulnerabilities before remediation steps are taken.
Security assessments follow a structured methodology beginning with understanding the current state.
CompTIA SecAI+ Study Guide covers AI-generated code security assessment under AI-assisted security.
Why D is Correct: Performing a source code review is the first and most fundamental step in assessing AI- generated code security. Before removing secrets, enforcing access controls, or scanning for sensitive data, the analyst must understand what the AI tool has generated by reviewing the code for security vulnerabilities, insecure patterns, logic flaws, and policy violations. The review provides the baseline knowledge needed to prioritize and direct all subsequent remediation actions.
Why A is Wrong: Removing hard-coded secrets is a specific remediation action for a specific finding. This step should come after the source code review has identified the presence and location of hard-coded secrets, not before the initial assessment reveals whether they exist.
Why B is Wrong: Enforcing access controls for code repositories is a security hardening measure for the repository infrastructure. It protects access to existing code but does not constitute an assessment of what the AI tool has generated from a security standpoint.
Why C is Wrong: Enabling sensitive data discovery scans repositories for PII and sensitive information patterns. While valuable as part of the assessment, it is a specific automated scanning tool best used after or alongside a manual code review that provides contextual understanding of the codebase.
質問 # 137
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?
正解：A
解説：
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.
質問 # 138
An architect is creating a threat model for an agentic system.
Which of the following should the architect do first?
正解：D
解説：
Basic Concept: Threat modeling for any system, and especially for agentic AI systems with multiple interacting components, begins with understanding the system ' s architecture and where trust boundaries exist. Trust boundaries define where data and control flows cross between components with different trust levels, representing potential attack surfaces. CompTIA SecAI+ Study Guide aligns with STRIDE and MITRE ATLAS threat modeling methodologies.
Why B is Correct: Identifying trust boundaries between components is the foundational first step in threat modeling. Agentic systems often involve multiple components such as the orchestrator, tools, APIs, data sources, and external services with different trust levels. Understanding where these boundaries exist reveals where untrusted inputs cross into trusted components, enabling the architect to systematically identify threats at each boundary before proceeding to risk quantification and control application.
Why A is Wrong: Applying compensating controls based on exposure findings is the final step in threat modeling, occurring after threats have been identified and risks quantified. Controls cannot be appropriately designed without first understanding the system ' s trust boundaries and threat landscape.
Why C is Wrong: Calculating risk to resources based on data sensitivity is a risk assessment step that occurs after trust boundaries are mapped and potential threats are identified. Risk quantification requires knowing what threats exist at each boundary first.
Why D is Wrong: Scanning for OWASP Top 10 vulnerabilities is a technical vulnerability assessment activity. While valuable, it comes after the architectural analysis of trust boundaries and threat identification phases of threat modeling.
質問 # 139
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