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| Section | Weight | Objectives |
|---|---|---|
| Implementation | 25% | - Given a scenario, implement secure network architecture concepts - Given a scenario, implement authentication and authorization solutions - Given a scenario, implement secure host settings - Given a scenario, implement identity and account management controls - Given a scenario, implement secure systems design - Given a scenario, apply cybersecurity solutions to the cloud - Given a scenario, implement secure mobile device policies - Given a scenario, implement public key infrastructure (PKI) |
| Attacks, Threats, and Vulnerabilities | 24% | - Compare and contrast types of social engineering attacks - Given a scenario, analyze potential indicators associated with network attacks - Explain vulnerability scanning concepts - Given a scenario, analyze potential indicators associated with application attacks - Explain threat actor types and attributes - Given a scenario, analyze potential indicators to determine the type of attack - Explain penetration testing concepts |
| Governance, Risk, and Compliance | 14% | - Given a scenario, follow organizational security policies and procedures - Compare and contrast various types of security controls - Summarize regulations, standards, and frameworks that impact organizations - Explain risk management processes and concepts - Explain privacy and sensitive data concepts in relation to security |
| Operations and Incident Response | 16% | - Explain key aspects of digital forensics - Summarize the importance of policies, processes, and procedures for incident response - Given a scenario, apply mitigation techniques or controls to secure an environment - Given a scenario, use data sources to support an investigation - Given a scenario, use appropriate tool to assess organizational security |
| Architecture and Design | 21% | - Summarize authentication and authorization design concepts - Explain secure application development, deployment, and automation concepts - Summarize basics of cryptographic concepts - Given a scenario, implement cybersecurity resilience - Explain the importance of security concepts in an enterprise environment - Explain the importance of physical security controls - Explain the security implications of embedded and specialized systems - Summarize virtualization and cloud security concepts |
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NEW QUESTION # 12
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: B
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 # 13
Which of the following requires developers to harden infrastructure to protect AI systems?
Answer: B
Explanation:
Configuration standards define how infrastructure and systems must be securely set up and maintained. By following these standards, developers harden the environment that supports AI systems, reducing risks from misconfigurations and vulnerabilities.
NEW QUESTION # 14
Which of the following is an example of how a security analyst uses generative AI in the triage process?
Answer: C
Explanation:
In triage, generative AI is most effective for quickly summarizing and categorizing large volumes of alerts or findings. This helps analysts prioritize incidents and streamline the investigation process.
NEW QUESTION # 15
User experience is declining since the launch of a large language model (LLM) in internal networks. Which of the following should be the highest priority for the prompt engineers?
Answer: D
Explanation:
When user experience is declining after an LLM launch, the top priority for prompt engineers is quality control. Ensuring prompts produce accurate, relevant, and safe outputs directly improves usability and restores user trust.
NEW QUESTION # 16
An organization deploys an application programming interface (API) to allow external customers to perform tasks supported by internally developed AI models. Some customers require limited use of sensitive data.
After the API is deployed, customers report that the API returns sensitive data to all customers. Which of the following is the best action to take with the API?
Answer: D
Explanation:
Option D is correct because the failure is an authorization problem: every external customer can receive sensitive information even though only some customers are permitted to use it. Role-based access control assigns permissions to defined customer roles and requires the API to evaluate the caller's role before returning protected fields or invoking sensitive model functions. Properly implemented, RBAC supports least privilege and separates ordinary customers from approved sensitive-data users. Option A may route customers to different models, but model selection does not itself enforce who is authorized to receive data. Option B changes model behavior and training data, yet retraining cannot replace an access-control decision at the API boundary. Option C may improve network isolation, but placing the model in a VPC does not stop an authenticated external customer from receiving information that the API exposes. The organization should also apply field-level filtering, deny-by-default policies, logging, and authorization testing. NIST's RBAC model assigns users to roles and associates each role with permitted privileges, directly supporting this control.
NEW QUESTION # 17
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