Framework: HITRUST

Data classification under HITRUST i1 requires organizations to identify, label, and manage data according to sensitivity and regulatory requirements. Candidates must understand that this process defines how Protected Health Information (PHI) and other sensitive data are accessed, stored, and transmitted. Classification frameworks typically include categories such as public, internal, confidential, and restricted, each with corresponding safeguards. HITRUST assessors look for policies, inventories, and system configurations that demonstrate adherence to these handling rules.

In real-world operations, classification enables appropriate encryption, retention, and access controls. For example, PHI may require encryption in transit and at rest, while internal data might rely on access restrictions alone. Candidates should know that effective data handling extends beyond technology—it includes employee awareness, labeling conventions, and incident response protocols tied to data type. For exam readiness, understanding how classification drives risk prioritization and compliance alignment ensures candidates can translate policy concepts into operational control strategies.
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