CCSFP Practice Exam Questions and Answers

During an interim assessment for r2 certifications, only asubset of Requirement Statementsis retested. This sample is not determined manually by assessors or clients but issystematically generated by MyCSF. The tool ensures randomness and fairness while including mandatory items such as:

Requirement Statements with open gapsfrom the prior validated assessment.

Requirement Statements with active Corrective Action Plans (CAPs).

A random selection of additional requirements to confirm continued control performance.

This approach balances efficiency and assurance. It ensures that areas of previously identified weakness are re-examined while still sampling across the broader control set. By automating sample selection, HITRUST prevents bias and ensures consistency across interim reviews.

TheA1 Security Assessmentmodule evaluates the security, governance, and risk management ofartificial intelligence models. HITRUST specifies coverage for widely used model types, including:

Predictive models, which forecast outcomes based on historical data (e.g., fraud detection, patient risk scoring).

Generative models, which create new data outputs (e.g., AI image or text generators).

Rule-based models, which use defined logic for decision-making.

The goal of the A1 assessment is to ensure that these AI models are developed, implemented, and monitored securely, with appropriate safeguards around data integrity, bias management, and model explainability. Options likeHodgkin-Huxley(a neuroscience model) andBack Propagation(a training algorithm) are not types of AI models scoped by the A1 assessment. Instead, the A1 factor focuses on applied model categories used in operational environments.