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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Governance, Risk, and Compliance | 19% | - Risk and Compliance
|
| Topic 2: Basic AI Concepts Related to Cybersecurity | 17% | - AI Threat Landscape
|
| Topic 3: AI-Assisted Security | 24% | - Operational Use of AI
|
| Topic 4: Securing AI Systems | 40% | - Adversarial Defense
|
>> CY0-001 Detail Explanation <<
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NEW QUESTION # 37
A developer is selecting authentication controls for an AI system.
Which of the following is the best way to prevent threat actor replay attacks?
Answer: D
Explanation:
Basic Concept: A replay attack occurs when an attacker captures a valid authentication token or credential and reuses it to impersonate a legitimate user. Preventing replay attacks requires ensuring that captured credentials cannot be successfully reused after a defined period or after their intended single use. CompTIA SecAI+ Study Guide covers replay attack prevention under AI system authentication.
Why C is Correct: Expiring session tokens have a limited validity window, typically a few minutes to hours.
If an attacker captures a token, they can only use it until it expires. Short expiration times dramatically reduce the window of opportunity for replay attacks. This is the most direct and effective control specifically targeting replay attack prevention, as expired tokens are rejected even if intercepted.
Why A is Wrong: IdP federation enables single sign-on across multiple systems using federated identity providers. While it standardizes authentication, it does not inherently prevent replay attacks on captured tokens unless combined with short token expiration and proper validation.
Why B is Wrong: SSH certificate authentication uses cryptographic certificates for strong authentication.
While more secure than password-based SSH, certificates alone do not prevent replay attacks unless they include timestamps, nonces, or other anti-replay mechanisms that invalidate captured credentials.
Why D is Wrong: IAM access keys are long-lived credentials that provide programmatic access to services.
They are typically static and do not expire automatically, making them vulnerable to replay attacks if intercepted. They are less suitable for replay attack prevention than expiring session tokens.
NEW QUESTION # 38
Which of the following describes the most significant risk associated with AI agents that make autonomous decisions?
Answer: D
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 # 39
An AI security team must assess the probability of an attack on its new system and the impact associated with such an attack. Which of the following threat-modeling resources best addresses the threat landscape for machine learning (ML)?
Answer: C
Explanation:
MITRE ATLAS is specifically designed to capture adversarial tactics, techniques, and procedures (TTPs) targeting machine learning systems. It helps organizations assess both the probability and impact of AI/ML-related attacks, making it the most relevant threat-modeling resource.
NEW QUESTION # 40
A company wants to reduce IDS false positives. What tuning should occur FIRST?
Answer: C
Explanation:
A behavioral baseline enables effective tuning and alert reduction.
NEW QUESTION # 41
A security consultant must summarize the impact of posture management on a machine learning (ML) use case. Which of the following is the most appropriate reference for this purpose?
Answer: D
Explanation:
The NIST AI RMF provides structured guidance for assessing and managing risks across the AI lifecycle, including posture management. It helps organizations align AI security practices with governance, resilience, and trustworthiness requirements.
NEW QUESTION # 42
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