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| Section | Weight | Objectives |
|---|---|---|
| Governance, Risk, and Compliance | 14% | - Given a scenario, follow organizational security policies and procedures - Explain risk management processes and concepts - Summarize regulations, standards, and frameworks that impact organizations - Explain privacy and sensitive data concepts in relation to security - Compare and contrast various types of security controls |
| Architecture and Design | 21% | - Explain the importance of security concepts in an enterprise environment - Summarize virtualization and cloud security concepts - Explain the security implications of embedded and specialized systems - Summarize authentication and authorization design concepts - Summarize basics of cryptographic concepts - Explain secure application development, deployment, and automation concepts - Explain the importance of physical security controls - Given a scenario, implement cybersecurity resilience |
| Operations and Incident Response | 16% | - Given a scenario, apply mitigation techniques or controls to secure an environment - Explain key aspects of digital forensics - Summarize the importance of policies, processes, and procedures for incident response - Given a scenario, use appropriate tool to assess organizational security - Given a scenario, use data sources to support an investigation |
| Attacks, Threats, and Vulnerabilities | 24% | - Compare and contrast types of social engineering attacks - Given a scenario, analyze potential indicators associated with application attacks - Explain vulnerability scanning concepts - Explain threat actor types and attributes - Given a scenario, analyze potential indicators associated with network attacks - Given a scenario, analyze potential indicators to determine the type of attack - Explain penetration testing concepts |
| Implementation | 25% | - Given a scenario, implement secure mobile device policies - Given a scenario, implement authentication and authorization solutions - Given a scenario, implement secure host settings - Given a scenario, apply cybersecurity solutions to the cloud - Given a scenario, implement public key infrastructure (PKI) - Given a scenario, implement secure systems design - Given a scenario, implement secure network architecture concepts - Given a scenario, implement identity and account management controls |
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NEW QUESTION # 67
Which of the following is the primary purpose of validating data for an AI system?
Answer: C
Explanation:
Validating data ensures quality, consistency, and fairness in training sets, helping prevent biased or inaccurate results in AI system outputs.
NEW QUESTION # 68
Which of the following International Organization for Standardization (ISO) standards contains compliance requirements for building an AI management system?
Answer: C
Explanation:
Basic Concept: ISO develops management system standards for various organizational domains. For organizations building and managing AI systems in a structured, compliant manner, the appropriate ISO standard must specifically address the unique requirements of AI management systems including risk governance, lifecycle management, and accountability. CompTIA SecAI+ Exam Objectives cover ISO standards applicable to AI governance.
Why D is Correct: ISO 42001 (Artificial Intelligence Management System - AIMS) is the international standard specifically designed for building and managing AI management systems. It provides compliance requirements and guidance for establishing, implementing, maintaining, and continually improving an organization ' s AI management system, addressing AI-specific concerns including risk management, AI system governance, accountability, transparency, and continuous improvement for AI applications.
Why A is Wrong: ISO 20000 is the Information Technology Service Management (ITSM) standard covering IT service delivery processes, SLAs, incident management, and change management. It is not an AI management standard and does not address AI-specific governance requirements.
Why B is Wrong: ISO 27001 is the Information Security Management System (ISMS) standard addressing organizational information security risk management through controls and policies. While relevant to data security in AI systems, it does not contain requirements specifically for building an AI management system.
Why C is Wrong: ISO 27018 is a code of practice for protection of personally identifiable information (PII) in public cloud computing environments, extending ISO 27001 for cloud privacy. It addresses cloud PII protection rather than AI system management compliance requirements.
NEW QUESTION # 69
A security engineer needs to monitor an AI-based system for runtime operations. The engineer is mostly concerned about the visibility of internal activity.
Which of the following is the most appropriate monitoring solution?
Answer: B
Explanation:
Basic Concept: Monitoring an AI system ' s internal runtime behavior requires deep observability into what the system is doing at the code and function execution level, not just at the perimeter. CompTIA SecAI+ Study Guide addresses AI system observability and runtime monitoring under securing AI infrastructure.
Why D is Correct: Enabling stack call and debugging level traces at the function level provides the highest granularity of visibility into internal operations. This approach exposes what functions are called, in what order, with what inputs, and what is returned, offering genuine insight into the AI system ' s internal activity at runtime precisely as the engineer requires.
Why A is Wrong: A SIEM aggregates and correlates log and event data from multiple sources. While useful for security alerting, it does not inherently provide visibility into internal function-level operations of an AI model at runtime.
Why B is Wrong: A WAF with header logging monitors and filters HTTP traffic at the application boundary.
It captures external request and response data, not the AI system ' s internal runtime mechanics.
Why C is Wrong: Relying on vendor controls and monitoring prompt inputs is a passive, externally-focused approach. It provides no visibility into intermediate computations or internal operations within the AI model itself.
NEW QUESTION # 70
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: C
Explanation:
Basic Concept: Security posture management for AI systems involves assessing and improving the overall security state of AI deployments, including identifying risks, implementing controls, and maintaining ongoing compliance. Appropriate frameworks provide structure for this assessment. CompTIA SecAI+ Study Guide identifies NIST AI RMF as the primary framework for AI risk and posture management.
Why B is Correct: The NIST AI Risk Management Framework provides comprehensive, actionable guidance for managing and improving AI security and risk posture across the entire AI lifecycle. It includes the GOVERN, MAP, MEASURE, and MANAGE functions that directly address posture management activities including risk identification, assessment, and control implementation for ML use cases. Its technical depth and ML-specific guidance make it ideal for this summarization task.
Why A is Wrong: OECD standards provide high-level policy principles for AI governance at an international level. They lack the technical specificity and operational guidance needed to summarize posture management impact on a specific ML use case.
Why C is Wrong: The EU AI Act is a regulatory compliance framework establishing legal requirements for AI systems. While it addresses risk management, its focus is on legal compliance rather than technical posture management guidance for ML systems.
Why D is Wrong: A Generative Adversarial Network is an AI architecture for generating synthetic data, not a framework or standard. It has no relevance as a reference for AI security posture management.
NEW QUESTION # 71
As a compliance requirement, a large language model (LLM) application requires setting up guardrails.
Which of the following resources is most appropriate to use?
Answer: A
Explanation:
Basic Concept: When implementing guardrails for compliance purposes, organizations need a recognized framework or standard that provides authoritative guidance on what guardrails should address and how to implement them. Compliance guardrails require industry-recognized standards as their basis. CompTIA SecAI+ Study Guide identifies OWASP as the primary reference for LLM application security controls including guardrails.
Why B is Correct: OWASP provides the OWASP Top 10 for Large Language Model Applications, which is a recognized industry resource defining the most critical vulnerabilities in LLM applications and the guardrails needed to mitigate them. Using OWASP as the reference for compliance-required guardrails provides a defensible, industry-standard basis for the security controls implemented, satisfying compliance requirements with authoritative guidance on what guardrails should prevent and how they should function.
Why A is Wrong: RAG is an AI architecture that enhances LLM responses with retrieved external context. It is a capability enhancement technique, not a framework for defining or implementing security guardrails for compliance purposes.
Why C is Wrong: LLM libraries are software development toolkits that provide functions for working with language models. While they may include built-in guardrail features, they are implementation tools, not the governance resource or standard that compliance guardrail requirements should be based upon.
Why D is Wrong: A SIEM is a security monitoring and alerting platform that aggregates and analyzes log data. It is a detection and monitoring tool, not a framework that defines what guardrails are required for LLM application compliance.
NEW QUESTION # 72
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