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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Operations and Incident Response | 16% | - Summarize the importance of policies, processes, and procedures for incident response - Given a scenario, use data sources to support an investigation - Given a scenario, use appropriate tool to assess organizational security - Explain key aspects of digital forensics - Given a scenario, apply mitigation techniques or controls to secure an environment |
| Topic 2: Attacks, Threats, and Vulnerabilities | 24% | - Compare and contrast types of social engineering attacks - Explain threat actor types and attributes - Explain vulnerability scanning concepts - Given a scenario, analyze potential indicators associated with application attacks - Explain penetration testing concepts - Given a scenario, analyze potential indicators to determine the type of attack - Given a scenario, analyze potential indicators associated with network attacks |
| Topic 3: Governance, Risk, and Compliance | 14% | - Summarize regulations, standards, and frameworks that impact organizations - Given a scenario, follow organizational security policies and procedures - Explain risk management processes and concepts - Compare and contrast various types of security controls - Explain privacy and sensitive data concepts in relation to security |
| Topic 4: Implementation | 25% | - Given a scenario, implement identity and account management controls - Given a scenario, implement secure host settings - Given a scenario, implement authentication and authorization solutions - Given a scenario, implement secure mobile device policies - Given a scenario, apply cybersecurity solutions to the cloud - Given a scenario, implement secure systems design - Given a scenario, implement public key infrastructure (PKI) - Given a scenario, implement secure network architecture concepts |
| Topic 5: Architecture and Design | 21% | - Summarize basics of cryptographic concepts - Explain the security implications of embedded and specialized systems - Explain the importance of security concepts in an enterprise environment - Summarize virtualization and cloud security concepts - Explain the importance of physical security controls - Explain secure application development, deployment, and automation concepts - Summarize authentication and authorization design concepts - Given a scenario, implement cybersecurity resilience |
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NEW QUESTION # 65
Which of the following roles best supports the implementation of AI governance, risk, and compliance (GRC)? (Choose two.)
Answer: C,F
Explanation:
Basic Concept: AI GRC implementation requires roles that combine understanding of AI technical capabilities and limitations with security risk assessment, control design, and compliance framework expertise. Identifying which roles naturally contribute to AI GRC is essential for team design. CompTIA SecAI+ Study Guide covers AI governance role responsibilities under Domain 4.
Why B is Correct: Data Scientists possess deep understanding of AI model capabilities, limitations, data requirements, and failure modes. For GRC implementation, their technical expertise is essential for identifying AI-specific risks such as bias, model drift, and data quality issues, assessing compliance implications of model design choices, and evaluating whether AI systems meet governance requirements.
Why D is Correct: Security Architects design comprehensive security frameworks and risk management strategies. For AI GRC, they translate governance requirements into technical controls, design AI security architectures that satisfy compliance obligations, assess the risk posture of AI deployments, and ensure security principles including least privilege, defense-in-depth, and audit logging are built into AI system designs.
Why A is Wrong: Desktop specialists manage user workstation hardware and software. Their role focuses on endpoint management and user support, not on the strategic risk assessment, compliance evaluation, or technical AI governance activities required for AI GRC implementation.
Why C is Wrong: Software developers write application code. While they implement security controls when directed, they typically lack the broad risk management, compliance framework expertise, and security architecture perspective needed to lead AI GRC implementation.
Why E is Wrong: SOC analysts focus on monitoring, detecting, and responding to security incidents in operational environments. Their expertise is in reactive security operations rather than the proactive governance framework design and compliance management that AI GRC requires.
Why F is Wrong: Network engineers design and maintain network infrastructure. Their expertise is in network connectivity and protocols, not in AI system governance, risk assessment frameworks, or compliance requirements.
NEW QUESTION # 66
What is the PRIMARY purpose of an MSSP for small businesses?
Answer: A
Explanation:
MSSPs specialize in outsourced security monitoring and alerting.
NEW QUESTION # 67
A security administrator needs to improve an AI model. During an initial investigation, the administrator notices that two successive login features are recorded every day, and then a successful login occurs after a specific time interval. All the successful login attempts have been during office hours.
Which of the following techniques should the administrator use to improve the AI model's security?
Answer: B
Explanation:
The administrator is analyzing repeated login behaviors and time-based patterns that precede successful access. Pattern recognition allows the AI model to detect these behavioral trends, improving its ability to identify anomalies or potential attacks while aligning with normal office-hour login behavior.
NEW QUESTION # 68
A SOC team has an AI agent that performs web searches and calls to the SOAR solution. The team is concerned about enterprise uptime and case resolution time.
Which of the following is the most appropriate use of the AI agent?
Answer: C
Explanation:
Basic Concept: AI agents in SOC environments can automate repetitive, rules-based response actions that previously required human intervention. When the primary concerns are enterprise uptime and case resolution time, the AI agent ' s ability to autonomously execute containment actions through SOAR is the most impactful application. CompTIA SecAI+ Study Guide covers AI agent use cases in security operations.
Why A is Correct: Using the AI agent to analyze incidents and execute containment actions through SOAR playbooks directly addresses both uptime and resolution time concerns. The agent can immediately analyze alert details, determine the appropriate playbook, and execute containment actions such as isolating compromised hosts or disabling compromised accounts autonomously, without waiting for human intervention. This dramatically reduces mean time to contain threats, improving both uptime and resolution speed.
Why B is Wrong: Enriching alerts with open-source intelligence improves analyst context but is a preparatory step rather than a response action. While valuable, it does not directly reduce resolution time by taking containment actions to stop ongoing threats.
Why C is Wrong: Aggregating metrics and generating leadership reports is an administrative function that consumes agent capacity for non-operational purposes. It improves visibility but does not directly improve uptime or case resolution time for active incidents.
Why D is Wrong: Creating tabletop exercises improves team preparedness over time through training scenarios. While beneficial for long-term capability development, it does not directly address the immediate concerns of enterprise uptime and active case resolution time.
NEW QUESTION # 69
An organization implements a domain-specific AI chatbot. After operating normally for weeks, the model returns contextually incorrect responses - treating ' worm ' as a biological pest rather than a computer worm when answering a cybersecurity question.
Which of the following should the organization do to address the issue?
Answer: A
Explanation:
Basic Concept: Domain-specific AI chatbots can produce contextually inappropriate responses when they lack sufficient domain grounding to disambiguate terms that have different meanings in different contexts.
Guardrails can enforce domain-appropriate interpretation and response constraints. CompTIA SecAI+ Study Guide covers guardrails as a mechanism for maintaining model behavioral boundaries.
Why A is Correct: Configuring guardrails allows the organization to enforce domain-specific behavioral constraints on the chatbot, ensuring it interprets ambiguous terms within the correct technical context.
Guardrails can include context-aware rules that recognize when a query is in a cybersecurity context and constrain the model to provide domain-appropriate responses. This directly addresses the issue of the model providing biologically-framed responses to a technical cybersecurity question.
Why B is Wrong: Encrypting model weights at rest protects the model parameters from unauthorized access or modification. It is a data protection control for model intellectual property and does not influence how the model interprets or responds to domain-specific queries at inference time.
Why C is Wrong: Model access controls restrict who can query and modify the model. They manage authorization at the user and system level but do not enforce domain-appropriate response constraints or prevent contextually incorrect answers from being generated.
Why D is Wrong: Prompt templates provide structured, reusable formats for common queries. While they can help standardize how cybersecurity questions are asked, they require users to use the template and do not provide real-time enforcement of domain-appropriate response generation for all input variations.
NEW QUESTION # 70
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