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| Section | Weight | Objectives |
|---|---|---|
| Securing AI Systems | 40% | - Adversarial Defense
|
| Basic AI Concepts Related to Cybersecurity | 17% | - Generative AI Concepts
|
| AI-Assisted Security | 24% | - Security Operations Enhancement
|
| AI Governance, Risk, and Compliance | 19% | - AI Governance Frameworks
|
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NEW QUESTION # 102
Which of the following attacks is most enabled by AI-generated content?
Answer: A
Explanation:
Basic Concept: AI-generated content including personalized text, synthetic voice, and deepfake video has dramatically enhanced the effectiveness and scalability of social engineering attacks. Understanding how AI amplifies specific attack types is key to CompTIA SecAI+ basic AI concepts in the cybersecurity context.
Why B is Correct: Phishing attacks are most dramatically enabled by AI-generated content. AI can generate highly personalized, grammatically perfect phishing emails tailored to individual targets using publicly available information. It can create convincing deepfake audio and video for voice phishing (vishing) and video phishing, replicate executive communication styles for business email compromise, and generate phishing campaigns at massive scale. The quality and personalization that previously required skilled human social engineers can now be automated with AI.
Why A is Wrong: Model poisoning is a specific attack against AI systems that corrupts training data to manipulate model behavior. While sophisticated, it is a targeted AI security attack rather than a broad cybercrime enabled by AI-generated content at scale.
Why C is Wrong: Ransomware is malware that encrypts victim data and demands payment for decryption keys. While AI can assist in ransomware development, ransomware deployment relies on code execution and network propagation techniques more than AI-generated content.
Why D is Wrong: Remote code execution involves exploiting vulnerabilities to run arbitrary code on a target system. It relies on technical vulnerability exploitation rather than AI-generated content. AI might assist in finding vulnerabilities, but RCE is not primarily enabled by content generation.
NEW QUESTION # 103
An organization develops a chatbot with the following requirements:
- Does not provide harmful or explicit responses
- Must use clean and professional language
- Ensures that responses are accurate
Which of the following should the organization conduct after the chatbot is fully developed but before a customer-facing deployment?
Answer: D
Explanation:
Guardrail testing and validation ensure the chatbot adheres to safety, language, and accuracy requirements before deployment. This step verifies the model will not generate harmful, explicit, or unprofessional responses in a customer-facing environment.
NEW QUESTION # 104
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 # 105
Which of the following requires developers to harden infrastructure to protect AI systems?
Answer: A
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 # 106
A SOC team has an AI agent that performs web searches and calls to the SOAR solution. The team is concerned about enterprise uptime and case resolution time.
Which of the following is the most appropriate use of the AI agent?
Answer: D
Explanation:
Basic Concept: AI agents in SOC environments can automate repetitive, rules-based response actions that previously required human intervention. When the primary concerns are enterprise uptime and case resolution time, the AI agent ' s ability to autonomously execute containment actions through SOAR is the most impactful application. CompTIA SecAI+ Study Guide covers AI agent use cases in security operations.
Why A is Correct: Using the AI agent to analyze incidents and execute containment actions through SOAR playbooks directly addresses both uptime and resolution time concerns. The agent can immediately analyze alert details, determine the appropriate playbook, and execute containment actions such as isolating compromised hosts or disabling compromised accounts autonomously, without waiting for human intervention. This dramatically reduces mean time to contain threats, improving both uptime and resolution speed.
Why B is Wrong: Enriching alerts with open-source intelligence improves analyst context but is a preparatory step rather than a response action. While valuable, it does not directly reduce resolution time by taking containment actions to stop ongoing threats.
Why C is Wrong: Aggregating metrics and generating leadership reports is an administrative function that consumes agent capacity for non-operational purposes. It improves visibility but does not directly improve uptime or case resolution time for active incidents.
Why D is Wrong: Creating tabletop exercises improves team preparedness over time through training scenarios. While beneficial for long-term capability development, it does not directly address the immediate concerns of enterprise uptime and active case resolution time.
NEW QUESTION # 107
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