Assessment Objectives

In addition to relevant policies, standards and procedures, the assessor shall examine, interview, and/or test to determine if appropriately scoped evidence exists to support the claim that:

• DCH-36_A01 elements of sensitive and/or regulated data to be de-identified are defined.
  Assessment rigor: 1
  Origin: 53A_R5_SI-19_ODP[01]
• DCH-36_A02 the frequency at which to evaluate the effectiveness of de-identification is defined.
  Defined parameters: at least annually
  Assessment rigor: 3
  Origin: 53A_R5_SI-19_ODP[02]
• DCH-36_A03 sensitive and/or regulated data is anonymized by removing the defined data elements from datasets.
  Assessment rigor: 1
  Origin: 53A_R5_SI-19a.
• DCH-36_A04 the effectiveness of de-identification is evaluated at the defined frequency.
  Assessment rigor: 2
  Origin: 53A_R5_SI-19b.
• DCH-36_A05 sensitive and/or regulated data is de-identified by removing, masking, encrypting, hashing or replacing direct identifiers in a dataset.
  Assessment rigor: 1
  Origin: 53A_R5_SI-19(04)
• DCH-36_A06 the de-identification technique(s) to be applied to sensitive and/or regulated data (anonymization, de-identification, pseudonymization and/or redaction) are defined.
  Assessment rigor: 3
  Origin: SCF Created
• DCH-36_A07 sensitive and/or regulated data is pseudonymized by replacing direct identifiers with pseudonyms, with any information needed to re-identify the data held separately and protected.
  Assessment rigor: 1
  Origin: SCF Created
• DCH-36_A08 sensitive and/or regulated data elements are redacted from datasets, documents and/or outputs where those elements are not needed.
  Assessment rigor: 1
  Origin: SCF Created

Incidencias vinculadas

• Secure Controls Framework -

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