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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implementation | 25% | - Given a scenario, implement secure mobile device policies - 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 secure systems design - Given a scenario, implement identity and account management controls - Given a scenario, implement public key infrastructure (PKI) - Given a scenario, apply cybersecurity solutions to the cloud |
| Topic 2: Operations and Incident Response | 16% | - Given a scenario, use data sources to support an investigation - 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 - Explain key aspects of digital forensics |
| Topic 3: Governance, Risk, and Compliance | 14% | - Given a scenario, follow organizational security policies and procedures - Compare and contrast various types of security controls - Explain risk management processes and concepts - Summarize regulations, standards, and frameworks that impact organizations - Explain privacy and sensitive data concepts in relation to security |
| Topic 4: Attacks, Threats, and Vulnerabilities | 24% | - Explain penetration testing concepts - Explain threat actor types and attributes - Explain vulnerability scanning concepts - Compare and contrast types of social engineering attacks - Given a scenario, analyze potential indicators associated with network attacks - Given a scenario, analyze potential indicators associated with application attacks - Given a scenario, analyze potential indicators to determine the type of attack |
| Topic 5: Architecture and Design | 21% | - Given a scenario, implement cybersecurity resilience - Explain secure application development, deployment, and automation concepts - Summarize virtualization and cloud security concepts - Explain the security implications of embedded and specialized systems - Explain the importance of security concepts in an enterprise environment - Explain the importance of physical security controls - Summarize authentication and authorization design concepts - Summarize basics of cryptographic concepts |
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NEW QUESTION # 48
Which of the following is the best example of an AI model that is trained to identify multiple points from input using a neural network to provide output for authentication?
Answer: B
Explanation:
Basic Concept: Neural networks can be trained to identify and match complex multi-point patterns in data.
For biometric authentication, facial recognition uses deep neural networks to extract and compare dozens to hundreds of facial feature points from an input image. CompTIA SecAI+ covers neural network-based authentication under basic AI concepts.
Why A is Correct: Facial recognition systems use neural networks specifically trained to identify multiple facial landmarks and feature points such as eye distance, nose shape, and jawline contour from input images.
These extracted feature vectors are compared against stored templates to authenticate individuals, making this the ideal example of multi-point neural network-based authentication output.
Why B is Wrong: An encryption key is a cryptographic artifact, not an AI model output. Encryption keys are generated mathematically, not through neural network training or multi-point feature identification from biometric inputs.
Why C is Wrong: OAuth is an open authorization protocol framework that handles delegated access and permission grants between services. It is an authentication delegation standard, not an AI model that processes input through neural networks.
Why D is Wrong: A bounding box is an output of object detection models that draws a rectangular box around detected objects in an image. While it uses neural networks, it identifies object location rather than multiple feature points for authentication purposes.
NEW QUESTION # 49
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: B
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 # 50
A security administrator needs to improve an AI model. During an initial investigation, the administrator notices that two successive login failures 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:
Basic Concept: Pattern recognition is an AI technique that enables a system to identify recurring sequences or structures within data. In cybersecurity, detecting behavioral patterns such as consistent pre-login failure sequences followed by successful access is critical for threat detection. CompTIA SecAI+ Exam Objectives cover this under AI-assisted security.
Why B is Correct: The scenario describes a highly regular, repeating behavioral pattern - two failures followed by success at a specific time interval, consistently during office hours. Pattern recognition enables the AI model to learn this sequence and flag it as indicative of credential stuffing or an automated brute-force attack with timing controls. ML-driven pattern recognition is specifically designed for such behavioral anomaly detection.
Why A is Wrong: Access management controls who can log in and under what conditions. It enforces authorization policies but does not analyze or detect suspicious behavioral sequences in authentication logs.
Why C is Wrong: Signature matching compares known attack signatures against observed data. The described pattern is behavioral and time-based rather than a known malware or exploit signature, making this technique unsuitable.
Why D is Wrong: Vulnerability analysis identifies weaknesses in systems and code. It does not analyze authentication log sequences or detect behavioral patterns in user activity data.
NEW QUESTION # 51
An organization is developing and implementing AI features into a customer service application.
Which of the following practices should the organization put in place before releasing the application for customer trials?
Answer: B
Explanation:
Basic Concept: Before deploying AI applications that handle customer data in trials, protecting sensitive information through data masking and sanitization is essential. CompTIA SecAI+ Study Guide emphasizes pre-deployment data security controls as a critical step in the AI development lifecycle.
Why A is Correct: Data masking replaces sensitive real customer data with realistic but fictitious equivalents, while sanitization removes harmful or unwanted data elements. Before customer trials, these techniques prevent exposure of real PII or sensitive information, ensure the trial environment cannot leak production data, and protect the organization from privacy regulation violations. This is the most immediately actionable pre-trial security control.
Why B is Wrong: External compliance audits are formal processes typically conducted post-deployment or at planned intervals to verify regulatory compliance. They are not pre-trial security implementations and cannot prevent data exposure in a trial environment.
Why C is Wrong: Approved AI vendor lists are governance artifacts that manage vendor selection risk at the procurement stage. They do not directly protect customer data within an application being prepared for trials.
Why D is Wrong: Third-party risk management addresses risks from external vendors and partners at a strategic level. While important for overall governance, it does not constitute a direct data security control for a pre-trial release.
NEW QUESTION # 52
What control reduces the impact radius when a single host is compromised?
Answer: A
Explanation:
Segmentation isolates systems and limits lateral movement.
NEW QUESTION # 53
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