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| Section | Weight | Objectives |
|---|---|---|
| Implementation | 25% | - Given a scenario, implement secure mobile device policies - Given a scenario, implement public key infrastructure (PKI) - Given a scenario, implement identity and account management controls - 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 secure systems design - Given a scenario, implement secure network architecture concepts |
| Governance, Risk, and Compliance | 14% | - Compare and contrast various types of security controls - Summarize regulations, standards, and frameworks that impact organizations - Explain risk management processes and concepts - Given a scenario, follow organizational security policies and procedures - Explain privacy and sensitive data concepts in relation to security |
| Architecture and Design | 21% | - Summarize authentication and authorization design 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 - Summarize virtualization and cloud security concepts - Explain the importance of security concepts in an enterprise environment - Summarize basics of cryptographic concepts - Given a scenario, implement cybersecurity resilience |
| Attacks, Threats, and Vulnerabilities | 24% | - Given a scenario, analyze potential indicators to determine the type of attack - Explain vulnerability scanning concepts - Given a scenario, analyze potential indicators associated with network attacks - Given a scenario, analyze potential indicators associated with application attacks - Explain penetration testing concepts - Explain threat actor types and attributes - Compare and contrast types of social engineering attacks |
| Operations and Incident Response | 16% | - Summarize the importance of policies, processes, and procedures for incident response - Explain key aspects of digital forensics - Given a scenario, apply mitigation techniques or controls to secure an environment - Given a scenario, use appropriate tool to assess organizational security - Given a scenario, use data sources to support an investigation |
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NEW QUESTION # 91
Which techniques belong to the MITRE ATT&CK Command-and-Control phase? (Choose two.)
Answer: D,E
Explanation:
Beaconing and covert channels maintain communication with the attacker.
NEW QUESTION # 92
Which of the following would most likely be used to prove that an image is AI generated?
Answer: C
Explanation:
Basic Concept: As AI-generated images become increasingly indistinguishable from authentic photographs, technical mechanisms are needed to definitively identify synthetic content. Embedding verifiable markers in AI-generated content at creation time provides a reliable provenance trail. CompTIA SecAI+ Study Guide covers digital content authentication and AI provenance controls.
Why D is Correct: Watermarking embeds invisible or visible identifying markers into AI-generated images at the point of creation. These watermarks can be cryptographic, steganographic, or perceptual in nature and survive compression, cropping, and other common image manipulations. When an image ' s provenance is questioned, watermark detection tools can analyze it to confirm AI generation. This is the primary technical mechanism for proving AI image origin as supported by the Content Authenticity Initiative and C2PA standards.
Why A is Wrong: Human validation relies on subjective visual inspection by experts to determine if an image appears AI-generated. Modern AI image generation has advanced to the point where human reviewers frequently cannot distinguish synthetic from authentic images, making this approach unreliable for definitive proof.
Why B is Wrong: Guardrails are input and output filtering controls for AI systems. They restrict what content an AI can generate but do not create verifiable proof of an image ' s AI origin after generation.
Why C is Wrong: Diffusion refers to the diffusion model architecture used to generate images. It describes the creation process, not a verification mechanism. Knowing that diffusion models were used does not help prove a specific image was AI-generated after the fact.
NEW QUESTION # 93
A security analyst needs to conduct a security assessment of the output from an AI-enabled development tool.
Which of the following should the analyst do first?
Answer: D
Explanation:
Basic Concept: Security assessment of AI-generated code requires a systematic review of the code itself to understand what has been generated and identify potential vulnerabilities before remediation steps are taken.
Security assessments follow a structured methodology beginning with understanding the current state.
CompTIA SecAI+ Study Guide covers AI-generated code security assessment under AI-assisted security.
Why D is Correct: Performing a source code review is the first and most fundamental step in assessing AI- generated code security. Before removing secrets, enforcing access controls, or scanning for sensitive data, the analyst must understand what the AI tool has generated by reviewing the code for security vulnerabilities, insecure patterns, logic flaws, and policy violations. The review provides the baseline knowledge needed to prioritize and direct all subsequent remediation actions.
Why A is Wrong: Removing hard-coded secrets is a specific remediation action for a specific finding. This step should come after the source code review has identified the presence and location of hard-coded secrets, not before the initial assessment reveals whether they exist.
Why B is Wrong: Enforcing access controls for code repositories is a security hardening measure for the repository infrastructure. It protects access to existing code but does not constitute an assessment of what the AI tool has generated from a security standpoint.
Why C is Wrong: Enabling sensitive data discovery scans repositories for PII and sensitive information patterns. While valuable as part of the assessment, it is a specific automated scanning tool best used after or alongside a manual code review that provides contextual understanding of the codebase.
NEW QUESTION # 94
A short AI-generated video shows a celebrity's likeness talking about a fake public security event.
Which of the following was used to create this video?
Answer: A
Explanation:
Convolutional neural networks (CNNs) are commonly used in generating deepfake videos, where a person's likeness is realistically mapped and animated to create fake but convincing audiovisual content.
NEW QUESTION # 95
A security alert triggers an agentic system. An analyst notices the following payload in the logs. The alert includes multiple shell commands that are not typically run as part of any hardening:
Which of the following is the most effective control to implement?
Answer: C
Explanation:
Basic Concept: Agentic AI systems that execute shell commands based on model-generated output are vulnerable to prompt injection attacks where malicious actors craft inputs that cause the agent to run unauthorized commands. Input validation using allowlists is a critical defense mechanism. CompTIA SecAI+ Study Guide covers agentic AI security controls.
Why A is Correct: Adding logic that validates shell commands against an approved allowlist before execution is the most direct and effective defense. This ensures only pre-approved, safe commands can be executed regardless of what the agentic system ' s model generates, preventing malicious command injection from reaching the operating system. This principle of allowlist-based input validation is a foundational secure agentic AI control.
Why B is Wrong: Deprecating and retraining the model is a lengthy process that addresses root cause training issues but does not provide immediate protection against ongoing injection attacks in the current deployed system.
Why C is Wrong: Modifying the application to ignore a specific tag merely removes one attack surface while leaving the system vulnerable to other injection vectors. It is not a comprehensive defense.
Why D is Wrong: Using only approved libraries controls which code libraries the agentic system can call, but does not validate or restrict the shell commands generated by the model at runtime based on arbitrary user input.
NEW QUESTION # 96
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