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CompTIA SecAI+

CompTIA SecAI+ is a mid-to-advanced cybersecurity certification focused on applying artificial intelligence (AI) and machine learning (ML) in security operations. It validates your ability to use, analyze, and secure AI-driven systems within cybersecurity environments — especially in SOC, threat detection, and risk management roles.



---------- Question 1
An AI-based hiring tool is found to be consistently disqualifying candidates from a specific demographic. Which ethical principle of AI governance has been violated?
  1. Efficiency
  2. Fairness and Bias Mitigation
  3. Profit Maximization
  4. High Availability

---------- Question 2
A cybersecurity researcher is investigating a new strain of malware that uses a neural network to modify its own binary structure at runtime while maintaining its original malicious payload functionality. Which category of AI-driven threat does this specific behavior represent in a modern threat landscape?
  1. Adversarial machine learning
  2. AI-driven polymorphic malware
  3. Automated scalable phishing
  4. Model inversion attack

---------- Question 3
A security team integrates an AI-driven SOAR (Security Orchestration, Automation, and Response) platform. What is the primary benefit of using AI for alert correlation in this context?
  1. Eliminating the need for a firewall
  2. Reducing alert fatigue by grouping related events
  3. Increasing the storage capacity of the SIEM
  4. Manually verifying every login attempt

---------- Question 4
An AI system is used to filter inbound web traffic. An attacker discovers they can bypass the filter by adding specific, seemingly random pixels to an image that are invisible to humans but cause the model to misclassify a threat. What mitigation is most effective?
  1. Adversarial training
  2. Static code analysis
  3. Multi-factor authentication
  4. Increasing model depth

---------- Question 5
In an AI-enhanced SOC, what is the role of Event Triage automation?
  1. Determining the priority and validity of incoming security alerts
  2. Encrypting all incoming emails automatically
  3. Buying new security software licenses
  4. Creating marketing content for the company

---------- Question 6
Which document provides a voluntary framework for organizations to manage the risks associated with artificial intelligence, focusing on core functions such as Govern, Map, Measure, and Manage?
  1. PCI DSS
  2. NIST AI Risk Management Framework
  3. HIPAA Security Rule
  4. Digital Millennium Copyright Act

---------- Question 7
To protect a proprietary machine learning model from a Model Extraction attack where an adversary queries the API to build a shadow model, which technical safeguard should a security engineer implement?
  1. Increasing the training dataset size
  2. API Rate Limiting and Response Perturbation
  3. Switching from a Cloud to an On-premises environment
  4. Applying Role-Based Access Control to the OS

---------- Question 8
A security team is securing an AI data pipeline and wants to ensure that no single administrator can modify the training data without oversight. Which security principle should be applied to the data management lifecycle?
  1. Least privilege
  2. Separation of duties
  3. Need to know
  4. Implicit deny

---------- Question 9
A security analyst is investigating a novel malware strain that utilizes a transformer-based model to rewrite its command-and-control communication protocols every few hours. The malware maintains functionality while altering its digital footprint to evade static detection. Which specific AI-driven threat is best exemplified by this autonomous behavior?
  1. Adversarial Machine Learning
  2. Polymorphic Malware
  3. Model Inversion
  4. Automated Phishing

---------- Question 10
How does an AI-powered Security Orchestration, Automation, and Response platform primarily improve the incident remediation process during a high-speed ransomware outbreak?
  1. By manually reviewing every infected file
  2. By orchestrating automated containment actions
  3. By increasing the time required for data recovery
  4. By deleting all encrypted data to stop the spread

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