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| Section | Objectives |
|---|---|
| Topic 1: Data and Evidence Management | - Evidence processing
|
| Topic 2: Application Development | - User Interface (UIM) development
|
| Topic 3: Workflow and Rules Engine | - Business rules
|
| Topic 4: Integration and Deployment | - System integration
|
| Topic 5: Cúram Platform Fundamentals | - Architecture and components overview
|
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NEW QUESTION # 132
An analyst uses an AI platform to help correlate events. The AI output contains events that did not happen.
This results in inaccurate correlations.
Which of the following best describes what has occurred?
Answer: A
Explanation:
The scenario describes an AI hallucination , commonly termed confabulation in formal AI risk-management literature. The defining characteristic is that the model produces information that appears plausible but is factually incorrect or unsupported. Here, the AI system introduces events that never occurred, contaminating the event-correlation process and potentially causing analysts to reach incorrect conclusions.
NIST's Generative AI Profile identifies confabulation as the production of confidently stated but erroneous or false content and treats it as an AI risk that requires verification and monitoring. NIST cybersecurity guidance also recognizes hallucination and confabulation as risks to information accuracy when AI is incorporated into cybersecurity workflows.
Data exposure would involve unauthorized disclosure of confidential or sensitive information. A malicious prompt involves intentionally crafted input designed to influence model behavior or bypass restrictions.
Model poisoning occurs when an adversary manipulates training or model-related data to corrupt the system's behavior. None of these conditions is required in the scenario; the critical evidence is fabrication of nonexistent events.
Security analysts therefore must treat AI-generated correlation as analytical assistance rather than unquestioned evidence and validate important conclusions against authoritative logs and telemetry.
Study Guide Reference: Security Operations # Artificial Intelligence # AI Risks # Hallucinations # Data Exposure # Malicious Prompts # Model Poisoning # Human Validation.
NEW QUESTION # 133
Which of the following best describes the role of TTPs in threat intelligence?
Answer: C
Explanation:
TTPs (Tactics, Techniques, and Procedures) describe the behaviors, methods, and operational patterns used by threat actors. Security teams analyze TTPs to understand how attackers operate, correlate malicious activity, improve detection capabilities, and predict future behavior based on known adversary patterns.
NEW QUESTION # 134
The Chief Information Security Officer wants to improve internal security measures by continuously validating and verifying access to the production environment. Which of the following concepts best describes this practice?
Answer: B
Explanation:
Zero Trust follows the principle of "never trust, always verify," continuously validating users, devices, and access requests rather than trusting them based on network location.
NEW QUESTION # 135
Which of the following is best suited for determining the methods of an adversary?
Answer: A
Explanation:
The Diamond Model of Intrusion Analysis is specifically designed to analyze adversary activity by examining the relationships among the adversary, infrastructure, capabilities, and victims. It helps security analysts understand how attackers operate, identify their methods and behaviors, and develop intelligence about their tactics, techniques, and procedures (TTPs).
NEW QUESTION # 136
Which of the following is an example of the shift-left concept as it pertains to the SDLC?
Answer: B
Explanation:
Shift-left emphasizes integrating security activities as early as possible in the Software Development Life Cycle (SDLC). Scanning code for exposed API keys when it is committed to the development repository identifies security issues during development, allowing them to be remediated before reaching later testing or production stages.
NEW QUESTION # 137
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