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| Section | Weight | Objectives |
|---|---|---|
| AI-Assisted Security | 24% | - Security Operations Enhancement
|
| Basic AI Concepts Related to Cybersecurity | 17% | - Generative AI Concepts
|
| AI Governance, Risk, and Compliance | 19% | - Risk and Compliance
|
| Securing AI Systems | 40% | - AI System Protection
|
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NEW QUESTION # 51
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: D
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 # 52
An architect is creating a threat model for an agentic system.
Which of the following should the architect do first?
Answer: D
Explanation:
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.
NEW QUESTION # 53
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: B
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 # 54
A line of business wants to onboard an application that uses a custom AI model for employee assessments. The Chief Information Officer (CIO) agrees to allow the engagement to proceed but first wants a threat model. Which of the following is the most appropriate to use for an AI threat model?
Answer: B
Explanation:
ATLAS is specifically designed for creating AI threat models. It catalogs adversarial techniques, tactics, and use cases that target AI systems, making it the most appropriate framework for assessing risks to a custom AI model in employee assessments.
NEW QUESTION # 55
A healthcare organization plans to deploy a chatbot for appointment scheduling and patient records.
Which of the following is the first step a security administrator should take?
Answer: B
Explanation:
Basic Concept: Before implementing any security controls for an AI system, especially in a highly regulated sector such as healthcare, a risk assessment must first be conducted to understand the specific threats, vulnerabilities, regulatory obligations, and compliance requirements. CompTIA SecAI+ Study Guide emphasizes risk assessment as the foundational first step in any AI security program.
Why C is Correct: A risk assessment identifies what assets need protection, what threats exist, what regulations apply such as HIPAA for healthcare AI, and what the potential impact of various failure modes would be. In healthcare, this is especially critical given the sensitivity of patient records and strict regulatory requirements. The risk assessment results then inform and prioritize all subsequent security control implementations.
Why A is Wrong: Implementing prompt firewalls is a technical security control appropriate after risks have been identified and prioritized. Deploying controls before conducting a risk assessment may address the wrong threats or miss critical vulnerabilities.
Why B is Wrong: Role-based access management is a security control that should be designed based on identified roles and access requirements discovered during risk assessment. It is an implementation step, not the first step.
Why D is Wrong: Using a secure communication channel is a specific technical control for data in transit.
While important, it addresses only one specific risk and should be implemented as part of a comprehensive security strategy informed by a prior risk assessment.
NEW QUESTION # 56
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