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| Section | Weight | Objectives |
|---|---|---|
| AI Governance, Risk and Compliance | 19% | - Risk management for AI
|
| AI-assisted Security | 24% | - AI for threat detection and response
|
| Basic AI Concepts Related to Cybersecurity | 17% | - AI applications in security
|
| Securing AI Systems | 40% | - Defending against AI-specific attacks
|
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NEW QUESTION # 51
A penetration tester is assessing the controls of a deployed AI system that is designed to search and return the contents of files. The tester runs the following:
Which of the following is the best control to prevent abuse of the system?
Answer: C
Explanation:
The penetration test shows that the system accepts arbitrary commands like deleteBuckets or listPermissions, which could lead to privilege abuse. The most effective control is least privilege, ensuring the service account only has access to what is strictly necessary (e.g., reading files) and not sensitive operations like deleting buckets or altering permissions.
NEW QUESTION # 52
An analyst finds failed login attempts across multiple systems using different usernames but from the same IP. Which attack is MOST likely?
Answer: C
Explanation:
Password spraying uses common passwords across many usernames.
NEW QUESTION # 53
A recent release of an AI software update exposes confidential customer information due to storage misconfiguration.
Which of the following data security controls will help maintain confidentiality despite the data leak?
Answer: D
Explanation:
Basic Concept: When a storage misconfiguration leads to data exposure, the question is which encryption type would have protected the confidentiality of data stored in that misconfigured storage. The three states of data
- at rest, in transit, and in use - each require different encryption mechanisms. CompTIA SecAI+ Study Guide covers encryption states and their applicability to AI data protection.
Why D is Correct: Encryption at rest protects data stored in databases, file systems, and storage media by encrypting it so that even if unauthorized parties gain access to the storage through a misconfiguration, the data remains unreadable without the decryption key. Since the exposure resulted from a storage misconfiguration that allowed access to stored data, encryption at rest would have maintained confidentiality of the customer information despite the misconfiguration granting storage access.
Why A is Wrong: Model encryption specifically protects AI model weights and parameters from unauthorized access. It does not protect customer data stored in databases or data stores associated with the AI system.
Why B is Wrong: Encryption in transit protects data moving between components over networks. It does not protect data stored at rest in misconfigured storage that is accessed directly rather than over a network connection.
Why C is Wrong: Encryption in use (homomorphic encryption or confidential computing) protects data while it is being actively processed in memory. It addresses runtime processing security, not the confidentiality of data stored in misconfigured storage that is not currently being processed.
NEW QUESTION # 54
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?
Answer: C
Explanation:
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.
NEW QUESTION # 55
Which of the following is the first step before using an online data set?
Answer: B
Explanation:
A third-party risk management assessment is the best first step because an externally obtained online dataset introduces risks concerning source trustworthiness, provenance, licensing, privacy, integrity, security, and regulatory compliance. CompTIA SecAI+ requires candidates to understand third-party compliance evaluations as part of AI governance and also emphasizes trustworthiness and authenticity during the AI lifecycle ' s data-collection stage. Before incorporating an externally sourced dataset into model development or training, the organization should determine who created or controls the data, whether its collection and distribution are legitimate, whether contractual or usage restrictions exist, and whether sensitive or malicious content could be present. A legal review may subsequently be required for licensing, copyright, privacy, and contractual issues, but third-party risk assessment provides the broader initial evaluation. A feasibility study addresses whether the proposed project is practical from a business perspective rather than whether the dataset is trustworthy. Model design review occurs later and focuses on architecture and implementation.
Consequently, third-party risk management provides the most comprehensive initial gate before introducing an online dataset into the organization ' s AI lifecycle.
NEW QUESTION # 56
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