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[General] SISA CSPAI Discount, New CSPAI Exam Experience

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【General】 SISA CSPAI Discount, New CSPAI Exam Experience

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SISA Certified Security Professional in Artificial Intelligence Sample Questions (Q16-Q21):NEW QUESTION # 16
What is a primary step in the risk assessment model for GenAI data privacy?
  • A. Limiting assessment to model outputs only.
  • B. Conducting data flow mapping to identify privacy risks.
  • C. Ignoring data sources to speed up assessment.
  • D. Relying on vendor assurances without verification.
Answer: B
Explanation:
Risk assessment for GenAI begins with comprehensive data flow mapping, tracing inputs, processing, and outputs to pinpoint privacy vulnerabilities like unintended data leakage. This step reveals how personal information is handled, enabling classification of risks under frameworks like GDPR or ISO 27701. It facilitates the identification of controls such as anonymization or consent mechanisms. In GenAI, where models infer from vast data, this prevents re-identification attacks. Exact extract: "A primary step in GenAI data privacy risk assessment is conducting data flow mapping to identify and mitigate privacy risks." (Reference: Cyber Security for AI by SISA Study Guide, Section on Privacy Risk Models, Page 235-238).

NEW QUESTION # 17
How do ISO 42001 and ISO 27563 integrate for comprehensive AI governance?
  • A. By applying only to public sector AI systems.
  • B. By replacing each other in different organizational contexts.
  • C. By focusing ISO 42001 on privacy and ISO 27563 on management.
  • D. By combining AI management with privacy standards to address both operational and data protection needs.
Answer: D
Explanation:
The integration of ISO 42001 and ISO 27563 provides a holistic framework: 42001 for overall AI governance and risk management, complemented by 27563's privacy-specific tools, ensuring balanced, compliant AI deployments that protect data while optimizing operations. Exact extract: "ISO 42001 and ISO 27563 integrate to combine AI management with privacy standards for comprehensive governance." (Reference:
Cyber Security for AI by SISA Study Guide, Section on Integrating ISO Standards, Page 280-283).

NEW QUESTION # 18
In ISO 42001, what is required for AI risk treatment?
  • A. Ignoring risks below a certain threshold.
  • B. Identifying, analyzing, and evaluating AI-specific risks with treatment plans.
  • C. Delegating all risk management to external auditors.
  • D. Focusing only on post-deployment risks.
Answer: B
Explanation:
ISO 42001 mandates a systematic risk treatment process, involving identification of AI risks (e.g., bias, security), analysis of impacts, evaluation against criteria, and development of treatment plans like mitigation or acceptance. This ensures proactive management throughout the AI lifecycle. Exact extract: "ISO 42001 requires identifying, analyzing, and evaluating AI risks with appropriate treatment plans." (Reference: Cyber Security for AI by SISA Study Guide, Section on Risk Treatment in ISO 42001, Page 270-273).

NEW QUESTION # 19
In utilizing Giskard for vulnerability detection, what is a primary benefit of integrating this open-source tool into the security function?
  • A. Reducing the need for manual vulnerability assessment entirely
  • B. Automatically patching vulnerabilities without additional configuration
  • C. Limiting its use to only high-priority vulnerabilities.
  • D. Enabling real-time detection of vulnerabilities with actionable insights.
Answer: D
Explanation:
Giskard, an open-source tool, enhances AI security by enabling real-time vulnerability detection, scanning models for issues like bias or adversarial weaknesses, and providing actionable insights for remediation. This proactive approach supports continuous monitoring, unlike automated patching or limited scopes, and integrates into SDLC for robust security. Exact extract: "Giskard enables real-time detection of vulnerabilities with actionable insights, strengthening AI security functions." (Reference: Cyber Security for AI by SISA Study Guide, Section on Vulnerability Detection Tools, Page 190-193).

NEW QUESTION # 20
In assessing GenAI supply chain risks, what is a critical consideration?
  • A. Ignoring open-source dependencies to reduce complexity.
  • B. Focusing only on internal development risks.
  • C. Evaluating third-party components for embedded vulnerabilities.
  • D. Assuming all vendors comply with standards automatically.
Answer: C
Explanation:
GenAI supply chain risk assessment prioritizes scrutinizing third-party libraries, datasets, and models for vulnerabilities like backdoors or biases, using tools for dependency scanning. This holistic view prevents cascade failures, as seen in compromised pretrained models. Mitigation includes vendor audits and secure sourcing. Exact extract: "A critical consideration in GenAI supply chain risks is evaluating third-party components for vulnerabilities." (Reference: Cyber Security for AI by SISA Study Guide, Section on Supply Chain Risk Assessment, Page 250-253).

NEW QUESTION # 21
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