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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Operations and Incident Response | 16% | - Given a scenario, apply mitigation techniques or controls to secure an environment - Given a scenario, use appropriate tool to assess organizational security - Summarize the importance of policies, processes, and procedures for incident response - Given a scenario, use data sources to support an investigation - Explain key aspects of digital forensics |
| Topic 2: Implementation | 25% | - Given a scenario, apply cybersecurity solutions to the cloud - Given a scenario, implement public key infrastructure (PKI) - 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, implement secure systems design - Given a scenario, implement identity and account management controls - Given a scenario, implement secure network architecture concepts |
| Topic 3: Attacks, Threats, and Vulnerabilities | 24% | - Given a scenario, analyze potential indicators associated with network attacks - Given a scenario, analyze potential indicators associated with application attacks - Explain vulnerability scanning concepts - Explain penetration testing concepts - Explain threat actor types and attributes - Compare and contrast types of social engineering attacks - Given a scenario, analyze potential indicators to determine the type of attack |
| Topic 4: Governance, Risk, and Compliance | 14% | - Explain risk management processes and concepts - Explain privacy and sensitive data concepts in relation to security - Compare and contrast various types of security controls - Given a scenario, follow organizational security policies and procedures - Summarize regulations, standards, and frameworks that impact organizations |
| Topic 5: Architecture and Design | 21% | - Summarize virtualization and cloud security concepts - Explain the security implications of embedded and specialized systems - Explain the importance of physical security controls - Explain secure application development, deployment, and automation concepts - Given a scenario, implement cybersecurity resilience - Explain the importance of security concepts in an enterprise environment - Summarize authentication and authorization design concepts - Summarize basics of cryptographic concepts |
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NEW QUESTION # 40
A security consultant needs to detect attacks across a large language model (LLM) firewall.
Which of the following techniques should the consultant use?
Answer: B
Explanation:
Signature matching allows the detection of known malicious patterns, inputs, or behaviors targeting an LLM firewall. It is an effective technique for identifying and blocking prompt injection or other recognized attack methods.
NEW QUESTION # 41
Which of the following is the primary purpose of validating data for an AI system?
Answer: C
Explanation:
Basic Concept: Data validation is a critical step in the AI development pipeline that involves verifying that the data used for training and inference meets quality standards, is representative, and is free from systematic errors that could introduce bias. The quality of training data directly determines the quality and fairness of model outputs. CompTIA SecAI+ Study Guide covers data validation under AI development and responsible AI principles.
Why D is Correct: The primary purpose of data validation for an AI system is to ensure that the data is accurate, representative, and free from systematic errors that would cause the model to produce biased or discriminatory outcomes. Validating data checks for class imbalance, demographic underrepresentation, labeling errors, and corrupted values that could embed biases into the model. This ensures the AI system produces fair, accurate, and trustworthy outputs across all user groups.
Why A is Wrong: Automating the process is a benefit of using automated data validation tools but is not the primary purpose of validation itself. The automation serves the validation goal rather than being the reason validation is performed.
Why B is Wrong: Reducing resource consumption is an engineering optimization concern. Data validation may reduce resource waste by preventing training on poor-quality data, but this is a secondary benefit, not the primary purpose.
Why C is Wrong: Optimizing storage databases is a database engineering concern about performance and efficiency. Data validation examines data quality and representativeness for AI purposes, not database architecture optimization.
NEW QUESTION # 42
A SOC analyst identifies that a user extracted the full system prompt from the company ' s chatbot by prompting it to repeat the last query and provide the entire conversation context. Which of the following mitigations reduces the risk to the AI system?
Answer: B
Explanation:
Basic Concept: System prompt extraction is an attack where users manipulate an LLM into revealing its confidential system instructions. This violates the confidentiality of proprietary prompts and can expose security controls and business logic to adversaries. CompTIA SecAI+ Study Guide identifies guardrails as the primary control for preventing system prompt disclosure.
Why C is Correct: Enhancing model guardrails can specifically include instructions and filters that prevent the model from revealing its system prompt contents, regardless of how users attempt to extract them. Guardrails can detect and block attempts to retrieve conversation history, repeat system-level instructions, or disclose confidential operational context. This directly addresses the demonstrated attack where the user prompted the chatbot to reveal its entire context including the system prompt.
Why A is Wrong: Restricting the LLM ' s access to internal services limits what external resources the model can query. While this reduces the potential impact of system compromise, it does not prevent the model from disclosing its own system prompt in response to carefully crafted user queries.
Why B is Wrong: Data version control tracks changes to datasets and documents over time. It is a data management tool that does not inspect or control what the model discloses in its conversational responses to users.
Why D is Wrong: Segregating and identifying external content is relevant for preventing prompt injection from external data sources. It does not directly prevent a user from successfully prompting the model to reveal its own internal system instructions.
NEW QUESTION # 43
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 # 44
A multinational company wants to implement an AI-assisted job screening solution.
Which of the following should the company reference to reduce the risk of incurring compliance-related fines?
Answer: A
Explanation:
Basic Concept: AI systems used in employment contexts such as job screening carry significant regulatory risk. For a multinational company operating in or serving markets covered by the EU AI Act, compliance with this binding regulation is mandatory to avoid substantial fines. CompTIA SecAI+ Exam Objectives cover AI regulatory compliance under Domain 4.
Why B is Correct: The EU AI Act explicitly classifies AI systems used for employment screening, candidate evaluation, and worker management as high-risk AI applications. These systems are subject to strict compliance requirements including mandatory conformity assessments, human oversight, transparency obligations, and registration. Non-compliance can result in fines up to 30 million euros or 6% of global annual turnover. A multinational company implementing AI job screening must reference the EU AI Act as the primary compliance obligation.
Why A is Wrong: ISO AI standards such as ISO 42001 are voluntary management system standards. While useful for best practices, they do not carry legal enforcement power and adherence does not prevent regulatory fines from binding legislation like the EU AI Act.
Why C is Wrong: Corporate policy is an internal governance document that sets organizational standards. It cannot supersede external legal obligations and following only corporate policy does not protect against fines from regulatory bodies enforcing the EU AI Act.
Why D is Wrong: NIST AI RMF is a voluntary American risk management framework. While excellent for AI risk governance, it is not a binding regulation and does not address the legal compliance requirements that generate fines from regulatory authorities in jurisdictions covered by the EU AI Act.
NEW QUESTION # 45
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