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-33_A01 organization-wide policies for Personal Data (PD) quality management are developed and documented.
Assessment rigor: 1
Origin: 53A_R5_PM-22[01] - DCH-33_A02 organization-wide procedures for Personal Data (PD) quality management are developed and documented.
Assessment rigor: 1
Origin: 53A_R5_PM-22[02] - DCH-33_A03 the policies address reviewing the accuracy of Personal Data (PD) across the information life cycle.
Assessment rigor: 3
Origin: 53A_R5_PM-22a.[01] - DCH-33_A04 the policies address reviewing the relevance of Personal Data (PD) across the information life cycle.
Assessment rigor: 3
Origin: 53A_R5_PM-22a.[02] - DCH-33_A05 the policies address reviewing the timeliness of Personal Data (PD) across the information life cycle.
Assessment rigor: 3
Origin: 53A_R5_PM-22a.[03] - DCH-33_A06 the policies address reviewing the completeness of Personal Data (PD) across the information life cycle.
Assessment rigor: 3
Origin: 53A_R5_PM-22a.[04] - DCH-33_A07 the procedures address reviewing the accuracy of Personal Data (PD) across the information life cycle.
Assessment rigor: 3
Origin: 53A_R5_PM-22a.[05] - DCH-33_A08 the procedures address reviewing the relevance of Personal Data (PD) across the information life cycle.
Assessment rigor: 3
Origin: 53A_R5_PM-22a.[06] - DCH-33_A09 the procedures address reviewing the timeliness of Personal Data (PD) across the information life cycle.
Assessment rigor: 3
Origin: 53A_R5_PM-22a.[07] - DCH-33_A10 the procedures address reviewing the completeness of Personal Data (PD) across the information life cycle.
Assessment rigor: 3
Origin: 53A_R5_PM-22a.[08] - DCH-33_A11 the policies address correcting or deleting inaccurate or outdated Personal Data (PD).
Assessment rigor: 3
Origin: 53A_R5_PM-22b.[01] - DCH-33_A12 the procedures address correcting or deleting inaccurate or outdated Personal Data (PD).
Assessment rigor: 3
Origin: 53A_R5_PM-22b.[02] - DCH-33_A13 the policies address disseminating notice of corrected or deleted Personal Data (PD) to individuals or other appropriate entities.
Assessment rigor: 3
Origin: 53A_R5_PM-22c.[01] - DCH-33_A14 the procedures address disseminating notice of corrected or deleted Personal Data (PD) to individuals or other appropriate entities.
Assessment rigor: 3
Origin: 53A_R5_PM-22c.[02] - DCH-33_A15 the policies address appeals of adverse decisions on correction or deletion requests.
Assessment rigor: 3
Origin: 53A_R5_PM-22d.[01] - DCH-33_A16 the procedures address appeals of adverse decisions on correction or deletion requests.
Assessment rigor: 3
Origin: 53A_R5_PM-22d.[02] - DCH-33_A17 the frequency at which to check the accuracy of Personal Data (PD) across the information life cycle is defined.
Defined parameters: at least annually
Assessment rigor: 3
Origin: 53A_R5_SI-18_ODP[01] - DCH-33_A18 the frequency at which to check the relevance of Personal Data (PD) across the information life cycle is defined.
Defined parameters: at least annually
Assessment rigor: 3
Origin: 53A_R5_SI-18_ODP[02] - DCH-33_A19 the frequency at which to check the timeliness of Personal Data (PD) across the information life cycle is defined.
Defined parameters: at least annually
Assessment rigor: 3
Origin: 53A_R5_SI-18_ODP[03] - DCH-33_A20 the frequency at which to check the completeness of Personal Data (PD) across the information life cycle is defined.
Defined parameters: at least annually
Assessment rigor: 3
Origin: 53A_R5_SI-18_ODP[04] - DCH-33_A21 the accuracy of Personal Data (PD) across the information life cycle is checked frequency.
Defined parameters: at least annually
Assessment rigor: 3
Origin: 53A_R5_SI-18a.[01] - DCH-33_A22 the relevance of Personal Data (PD) across the information life cycle is checked frequency.
Defined parameters: at least annually
Assessment rigor: 3
Origin: 53A_R5_SI-18a.[02] - DCH-33_A23 the timeliness of Personal Data (PD) across the information life cycle is checked frequency.
Defined parameters: at least annually
Assessment rigor: 3
Origin: 53A_R5_SI-18a.[03] - DCH-33_A24 the completeness of Personal Data (PD) across the information life cycle is checked frequency.
Defined parameters: at least annually
Assessment rigor: 3
Origin: 53A_R5_SI-18a.[04] - DCH-33_A25 inaccurate or outdated Personal Data (PD) is corrected or deleted.
Assessment rigor: 3
Origin: 53A_R5_SI-18b. - DCH-33_A26 automated mechanisms used to correct or delete Personal Data (PD) that is inaccurate, outdated, incorrectly determined regarding impact or incorrectly de-identified are defined.
Assessment rigor: 3
Origin: 53A_R5_SI-18(01)_ODP - DCH-33_A27 automated mechanisms are used to correct or delete Personal Data (PD) that is inaccurate, outdated, incorrectly determined regarding impact or incorrectly de-identified.
Assessment rigor: 3
Origin: 53A_R5_SI-18(01)
Verknüpfte Vorgänge
| Verknüpfungstyp | Vorgang |
|---|---|
| blocks | Data Quality Operations |
- Secure Controls Framework -
The Secure Controls Framework® (SCF)
"The SCF is the Common Controls Framework™ (CCF), the world's most comprehensive cybersecurity and data privacy metaframework - it is also free to use. The entire concept is building secure, compliant and resilient capabilities in the most efficient and cost-effective manner possible.
The SCF is more than just a unified control catalog, since its included content creates a playbook for Governance, Risk & Compliance (GRC) capabilities. Used globally by organizations of every size, the SCF is a robust and scalable solution for security, compliance and resilience controls. As a comprehensive security framework, the SCF maps 1,400+ controls across 200+ laws, regulations, and industry frameworks so you can implement once and comply everywhere.
Like it or not, cybersecurity is a protracted war on an asymmetric battlefield, where the threats are everywhere and as defenders we have to make the effort to work together to help improve cybersecurity and data privacy practices, since we all suffer when massive data breaches occur or when cyber attacks have physical impacts. Hackers share information on attack methods with other hackers, so why shouldn’t the good guys share information on how to best protect an organization? We decided to take action and make a difference, since we feel it is too important to wait for someone else to fix the problems that exist.
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