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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Securing AI Systems | 40% | - AI System Protection
|
| Topic 2: AI Governance, Risk, and Compliance | 19% | - AI Governance Frameworks
|
| Topic 3: AI-Assisted Security | 24% | - Security Operations Enhancement
|
| Topic 4: Basic AI Concepts Related to Cybersecurity | 17% | - AI Threat Landscape
|
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NEW QUESTION # 40
Which of the following describes the most significant risk associated with AI agents that make autonomous decisions?
Answer: B
Explanation:
Output bias is the best answer because an autonomous AI agent can convert biased model judgments into consequential decisions without requiring a human to review each result. CompTIA SecAI+ identifies introduction of bias as a significant AI risk and separately identifies autonomous systems as an important governance concern. Responsible AI principles such as fairness, reliability, accountability, explainability, and human oversight exist partly to control this problem.
If an agent ' s model produces systematically biased recommendations, those biased outputs can directly influence hiring, access decisions, financial transactions, security actions, or other automated processes.
Autonomy therefore increases the impact of output bias because an erroneous or unfair recommendation may become an action before a person can intervene.
Accidental data leakage is also an important AI risk, but the question emphasizes autonomous decision- making , making biased decisions the more directly associated concern. Overfitting is primarily a model- development problem in which a model memorizes training characteristics and fails to generalize effectively.
Increased workload is contrary to one of the primary motivations for using agents, which is automation.
Therefore, output bias represents the most relevant risk among the available choices.
NEW QUESTION # 41
An engineer is analyzing findings from a penetration test that indicate insufficient data encryption. The report also indicates that additional controls must be placed on the data. To protect against loss of intellectual property, the engineer must implement data security.
Part 1: Use drop-down menu to select the most appropriate protocol or cipher for each system component.
Part 2: Use the drop-down menu to select the most appropriate technique to apply to the modified data.
Answer:
Explanation:
Explanation:
Part 1 - Select the protocol or cipher
System component
Select
API gateway
TLS 1.2
Database storage
CAMELLIA
AI model storage
HMAC-SHA512
Part 2 - Select the data-protection technique
Enter the techniques from the first row to the fifth row in this exact order:
Row Data modification Select
1 The name field is removed, while patient_id and dob remain De-identification
2 ip_addr and name are removed, leaving cookie and uid Anonymization
3 The card number is replaced by 0x0193828829 Tokenization
4 sensitivity: " SECRET " is added Classification
5 Part of the PIN is replaced by XXXX Masking
See Explanation
Why these are the intended answers
API gateway # TLS 1.2
The API gateway handles data moving between the client and backend systems. TLS is the only listed transport-security protocol and therefore protects the data in transit . OWASP recommends encrypting sensitive data in transit by using TLS with secure parameters.
Database storage # CAMELLIA
CAMELLIA is a symmetric block cipher suitable for encrypting substantial quantities of stored data. It is therefore the valid storage-encryption choice among the listed options.
Do not select AES-512 . AES-512 is not a standardized AES variant. NIST defines only AES-128, AES-192, and AES-256 .
AI model storage # HMAC-SHA512
The scenario separately emphasizes protection against loss or modification of intellectual property. HMAC- SHA512 supplies message authentication and integrity verification, allowing unauthorized modification of the AI model to be detected. HMAC is not confidentiality encryption, but it is the most appropriate listed additional control for protecting model integrity. OWASP specifically identifies HMACs as cryptographic controls for stored-data integrity.
Why the other options are not selected
* SHA-2 512: Hashing only; no secret key and no encryption.
* Elliptical curve: A family of cryptographic techniques, not a specific storage or transport protocol.
* ECDH: Used for key agreement, not direct bulk-data encryption.
* AES-512: Invalid AES key size.
* RSA-2048: Primarily used for asymmetric encryption, signatures, or key transport; inefficient for bulk database or model encryption.
* CAMELLIA: Appropriate symmetric encryption for stored data.
* HMAC-SHA512: Integrity and authenticity, not confidentiality.
Final Part 2 order
* De-identification
* Anonymization
* Tokenization
* Classification
* Masking
Explanation:
De-identification removes an explicitly identifying field-in this case, the person's name-while retaining other fields needed for processing. The remaining patient ID and date of birth could potentially permit re- identification when combined with other information, so this is de-identification rather than complete anonymization. OWASP describes de-identification as deleting, scrambling, or pseudonymizing direct and indirect identifiers.
Anonymization removes identifying attributes so that the displayed record is not directly tied to the named individual. Here, both the name and IP address are removed.
Tokenization substitutes a sensitive value with a non-sensitive representative token. The original payment- card number is replaced with the hexadecimal-style value 0x0193828829. OWASP recognizes tokenization as a method for reducing exposure of stored sensitive data.
Classification labels information according to sensitivity. Adding sensitivity: " SECRET " does not conceal or transform the PIN; it categorizes the record so appropriate controls can be applied. OWASP recommends classifying processed, stored, and transmitted data and applying controls based on that classification.
Masking obscures only part of a sensitive value while preserving its general format. Changing 999-99-9999 to 999-99-XXXX is partial masking.
NEW QUESTION # 42
Which of the following helps end users within an organization the most in safeguarding against the risk of AI- related non-compliance?
Answer: B
Explanation:
Basic Concept: End users are the employees who interact with AI systems daily and may inadvertently create compliance risks through their AI usage behaviors. Equipping users with clear guidance on acceptable and compliant AI use is the most effective way to reduce compliance violations at the user level. CompTIA SecAI+ Study Guide emphasizes policies and procedures as the foundational compliance tool for end users.
Why B is Correct: Policies and procedures directly inform end users of what AI-related behaviors are compliant, what is prohibited, and how to use AI tools safely and legally. Comprehensive AI usage policies covering acceptable use, data handling requirements, prohibited data inputs, and reporting obligations give users the knowledge they need to avoid compliance violations. Without clear policies, users cannot reliably identify compliant from non-compliant behavior.
Why A is Wrong: An AI center of excellence governs AI adoption at the organizational level, developing standards and approving use cases. While it benefits the organization overall, its governance activities are directed at organizational processes and technical standards rather than providing direct day-to-day compliance guidance to individual end users.
Why C is Wrong: Data loss prevention (DLP) technology automatically prevents the transmission of sensitive data through monitoring and blocking capabilities. While effective at preventing certain compliance violations technically, it cannot guide users on why certain behaviors are non-compliant or how to make compliant choices in situations DLP doesn ' t cover.
Why D is Wrong: MFA secures user authentication and prevents unauthorized account access. It is an identity security control that protects accounts, not a mechanism that helps users understand or comply with AI governance requirements.
NEW QUESTION # 43
A security team is using an AI-based tool to try to bypass organizational boundaries. The team uses AI to look at the current state and suggest different attack vectors based on the outcome of the previous ones. Which of the following techniques is the team most likely using?
Answer: D
Explanation:
The described behavior - iteratively assessing the environment and adapting attack paths based on prior outcomes - matches automated penetration testing, where AI-driven tools simulate attack chains and adjust tactics dynamically.
NEW QUESTION # 44
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: A
Explanation:
Basic Concept: An on-path (formerly man-in-the-middle) attack intercepts communication between two parties, allowing the attacker to read, modify, or inject content. In the context of a generative AI application, an on-path attack on the session between user and AI service can manipulate prompts being sent to the model or responses being returned to users. CompTIA SecAI+ covers AI-specific attack vectors under securing AI systems.
Why B is Correct: Session hijacking involves an attacker taking control of an active user session by capturing or forging session tokens. In this attack, the attacker intercepts the communication channel between users and the AI application, allowing them to modify prompts sent to the model or replace legitimate model responses with offensive content. This explains why outputs seem unrelated to prompts and contain offensive material.
Why A is Wrong: Application server hijacking involves gaining unauthorized control of the server hosting the application. While severe, this would typically manifest as complete service disruption or data exfiltration rather than targeted modification of individual user session content.
Why C is Wrong: Domain hijacking involves unauthorized transfer of a domain name registration, redirecting all users to a different IP address. This would affect all users simultaneously and typically redirect to a completely different site rather than manipulating individual AI responses.
Why D is Wrong: Model hijacking refers to attacks that steal or replicate an AI model, not to intercepting and modifying the communication between users and an existing model during active sessions.
NEW QUESTION # 45
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