+Članak 35. Procjena učinka na zaštitu podataka
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Članak 35. Procjena učinka na zaštitu podataka
1. Pregled
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Regulativa |
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Članak 35. 1.
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Ako je vjerojatno da će neka vrsta obrade, osobito putem novih tehnologija i uzimajući u obzir prirodu, opseg, kontekst i svrhe obrade, prouzročiti visok rizik za prava i slobode pojedinaca, voditelj obrade prije obrade provodi procjenu učinka predviđenih postupaka obrade na zaštitu osobnih podataka. Jedna procjena može se odnositi na niz sličnih postupaka obrade koji predstavljaju slične visoke rizike.
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Članak 35. 2.
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Pri provođenju procjene učinka na zaštitu podataka voditelj obrade traži savjet od službenika za zaštitu podataka, ako je on imenovan.
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Članak 35. 3.
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Procjena učinka na zaštitu podataka iz stavka 1. obvezna je osobito u slučaju:
(a)
sustavne i opsežne procjene osobnih aspekata u vezi s pojedincima koja se temelji na automatiziranoj obradi, uključujući izradu profila, i na temelju koje se donose odluke koje proizvode pravne učinke koji se odnose na pojedinca ili na sličan način značajno utječu na pojedinca;
(b)
opsežne obrade posebnih kategorija osobnih podataka iz članka 9. stavka 1. ili podataka u vezi s kaznenim osudama i kažnjivim djelima iz članka 10.; ili
(c)
sustavnog praćenja javno dostupnog područja u velikoj mjeri.
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Članak 35. 4.
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Nadzorno tijelo uspostavlja i javno objavljuje popis vrsta postupaka obrade koje podliježu zahtjevu za procjenu učinka na zaštitu podataka u skladu sa stavkom 1. Nadzorno tijelo priopćuje te popise Odboru iz članka 68.
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Članak 35. 5.
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Nadzorno tijelo može također uspostaviti i javno objaviti popis vrsta postupaka obrade za koje nije potrebna procjena učinka na zaštitu podataka. Nadzorno tijelo priopćuje te popise Odboru.
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Članak 35. 6.
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Prije usvajanja popisa iz stavaka 4. i 5. nadležno nadzorno tijelo primjenjuje mehanizam konzistentnosti iz članka 63. kada takvi popisi obuhvaćaju aktivnosti obrade koje su povezane s ponudom robe ili usluga ispitanicima ili s praćenjem njihova ponašanja u nekoliko država članica ili koje mogu znatno utjecati na slobodno kretanje osobnih podataka unutar Unije.
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Članak 35. 7.
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Procjena sadrži barem:
(a)
sustavan opis predviđenih postupaka obrade i svrha obrade, uključujući, ako je primjenjivo, legitimni interes voditelja obrade;
(b)
procjenu nužnosti i proporcionalnosti postupaka obrade povezanih s njihovim svrhama;
(c)
procjenu rizika za prava i slobode ispitanikâ iz stavka 1.; i
(d)
mjere predviđene za rješavanje problema rizika, što uključuje zaštitne mjere, sigurnosne mjere i mehanizme za osiguravanje zaštite osobnih podataka i dokazivanje sukladnosti s ovom Uredbom, uzimajući u obzir prava i legitimne interese ispitanika i drugih uključenih osoba.
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Članak 35. 8.
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Poštovanje odobrenih kodeksa ponašanja iz članka 40. od strane relevantnih voditelja obrade ili izvršitelja obrade uzima se u obzir pri procjeni učinka postupaka obrade koje provode ti voditelji obrade ili izvršitelji obrade, posebno u svrhe procjene učinka na zaštitu podataka.
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Članak 35. 9.
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Prema potrebi voditelj obrade od ispitanika ili njihovih predstavnika traži mišljenje o namjeravanoj obradi, ne dovodeći u pitanje komercijalne ili javne interese ili sigurnost postupka obrade.
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Članak 35. 10.
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Ako obrada u skladu s člankom 6. stavkom 1. točkom (c) ili (e) ima pravnu osnovu u pravu Unije ili pravu države članice kojem voditelj obrade podliježe, ako su tim pravom uređuju posebni postupci obrade ili skupina dotičnih postupaka te je procjena učinka na zaštitu podataka već provedena kao dio opće procjene učinka u kontekstu donošenja pravne osnove, stavci od 1. do 7. ne primjenjuju se, osim ako države članice smatraju da je potrebno provesti takvu procjenu prije aktivnosti obrade.
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Članak 35. 11.
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Prema potrebi voditelj obrade provodi preispitivanje kako bi procijenio je li obrada provedena u skladu s procjenom učinka na zaštitu podataka barem onda kada postoji promjena u razini rizika koji predstavljaju postupci obrade.
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1.1 Reference
1.2 Utvrđeni zahtjevi
1.3 Povezani standardi
2. Utvrđeni zahtjevi
3. Povezani standardi
Standardi
| Izvor |
Zahtjev |
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SCF
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Risk Catalog
Description
Mechanisms exist to develop and keep current a catalog of applicable risks associated with the organization's business operations and technologies in use.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Risk Management Program (RMP) ∙ Documented risk catalog
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Risk Management Program (RMP) ∙ Documented risk catalog
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Risk Management Program (RMP) ∙ Documented risk catalog
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Risk Management Program (RMP) ∙ Documented risk catalog
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Risk Management Program (RMP) ∙ Documented risk catalog
SCR-CMM
Level 0 Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 Performed Informally
Risk Management (RSK) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include: ▪ Policies, standards & procedures associated with RSK domain capabilities provide limited coverage due to the depth and breadth of the existing documentation. ▪ Risk management-related activities are decentralized (e.g., a localized/regionalized function) and uses non-standardized methods to implement secure, resilient and compliant practices. ▪ IT and/or cybersecurity personnel use an informal process to identify, assess, remediate and report on risk. ▪ Risk management processes (e.g., risk assessments) focus on protecting High Value Assets (HVAs), including environments where sensitive/regulated data is stored, transmitted and processed. ▪ Data/process owners are expected to self-manage risks associated with their Technology Assets, Applications, Services and/or Data (TAASD), based on the organization's published policies and standards, including the identification, remediation and reporting of risks.
Level 2 Planned Tracked
Risk Management (RSK) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with RSK domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with RSK domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with RSK domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Risk management-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Risk management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ Risk management processes (e.g., risk assessments) and technologies focus on protecting High Value Assets (HVAs), including environments where sensitive/regulated data is stored, transmitted and processed. ▪ IT and/or cybersecurity personnel implement and maintain a form of Risk Management Program (RMP) that provides operational guidance on how risk is identified, assessed, remediated and reported. ▪ Data/process owners are expected to self-manage risks associated with their systems, applications, services and data, based on the organization's published policies and standards, including the identification, remediation and reporting of risks.
Level 3 Well Defined
Risk Management (RSK) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with RSK domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with RSK domain capabilities are well-documented and kept current by process owners. ▪ A risk management team, or similar function, is appropriately staffed and supported to implement and maintain RSK domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of risk management operations (e.g., risk management solution, GRC platform and TPRM tool). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with RSK domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ An implemented and operational capability exists to develop and keep current a catalog of applicable risks associated with the organization's business operations and technologies in use.
Level 4 Quantitatively Controlled
Utilize SCR-CMM Level 3 criteria definitions: ▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control. ▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.
Level 5 Continuously Improving
Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
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SCF
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Data Protection Officer (DPO)
Description
Mechanisms exist to identify and appoint a Data Protection Officer (DPO), or equivalent role: (1) Based on professional qualifications; and (2) To be involved in all issues related to how Personal Data (PD) is collected, received, processed, stored, transmitted, shared, updated and/or disposed.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Privacy policy document ∙ Data handling procedures
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Written privacy policy ∙ Data subject request procedures
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Data privacy program ∙ Assigned Data Protection Officer (DPO) role(s)
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Data privacy program ∙ Assigned Data Protection Officer (DPO) role(s)
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Data privacy program ∙ Assigned Data Protection Officer (DPO) role(s)
SCR-CMM
Level 0 Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 Performed Informally
SCR-CMM Level 1 criteria definitions are not available for this control: ▪ A reasonable person would conclude this control requires a structured process. ▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.
Level 2 Planned Tracked
Privacy (PRI) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Data privacy management-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Data privacy management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ The data privacy program is developed to work with IT and cybersecurity staff to ensure that applicable statutory, regulatory and/or contractual data privacy obligations for Personal Data (PD) are properly identified and implemented. ▪ Data/process owners work with IT and/or cybersecurity personnel and Data Protection Officers (DPOs) to ensure applicable statutory, regulatory and/or contractual obligations are properly addressed, including the storage, transmission and processing of sensitive/regulated data.
Level 3 Well Defined
Privacy (PRI) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are well-documented and kept current by process owners. ▪ A data privacy team, or similar function, is appropriately staffed and supported to implement and maintain PRI domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of data privacy operations (e.g., privacy notice management software and customer management solution). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ A Data Protection Officer (DPO) is appointed: (1) Based on professional qualifications; and (2) To be involved in all issues related to how Personal Data (PD) is collected, received, processed, stored, transmitted, shared, updated and/or disposed.
Level 4 Quantitatively Controlled
Privacy (PRI) capabilities, in addition to being standardized across the entity and centrally managed to ensure consistency across Technology Assets, Applications, Services and/or Data (TAASD), efforts are metrics driven to provide sufficient insight for decision makers to predict optimal performance, ensure continued operations and/or identify areas for improvement. Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Applicable SCR-CMM Level 3 (Well Defined) capabilities are implemented and operational. ▪ Metrics reporting includes quantitative analysis of Key Performance Indicators (KPIs). ▪ Metrics reporting includes quantitative analysis of Key Risk Indicators (KRIs). ▪ Scope of metrics, KPIs and KRIs covers organization-wide cybersecurity and data protection controls, including functions performed by third-parties. ▪ Organizational leadership maintains a formal process to objectively review and respond to metrics, KPIs and KRIs (e.g., monthly or quarterly review). ▪ Based on metrics analysis, process improvement recommendations are submitted for review and are handled in accordance with change control processes. ▪ Business and technical stakeholders are involved in reviewing and approving proposed changes to evolve capabilities.
Level 5 Continuously Improving
Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
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SCF
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Data Protection Officer (DPO)
Description
Mechanisms exist to identify and appoint a Data Protection Officer (DPO), or equivalent role: (1) Based on professional qualifications; and (2) To be involved in all issues related to how Personal Data (PD) is collected, received, processed, stored, transmitted, shared, updated and/or disposed.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Privacy policy document ∙ Data handling procedures
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Written privacy policy ∙ Data subject request procedures
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Data privacy program ∙ Assigned Data Protection Officer (DPO) role(s)
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Data privacy program ∙ Assigned Data Protection Officer (DPO) role(s)
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Data privacy program ∙ Assigned Data Protection Officer (DPO) role(s)
SCR-CMM
Level 0 Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 Performed Informally
SCR-CMM Level 1 criteria definitions are not available for this control: ▪ A reasonable person would conclude this control requires a structured process. ▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.
Level 2 Planned Tracked
Privacy (PRI) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Data privacy management-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Data privacy management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ The data privacy program is developed to work with IT and cybersecurity staff to ensure that applicable statutory, regulatory and/or contractual data privacy obligations for Personal Data (PD) are properly identified and implemented. ▪ Data/process owners work with IT and/or cybersecurity personnel and Data Protection Officers (DPOs) to ensure applicable statutory, regulatory and/or contractual obligations are properly addressed, including the storage, transmission and processing of sensitive/regulated data.
Level 3 Well Defined
Privacy (PRI) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are well-documented and kept current by process owners. ▪ A data privacy team, or similar function, is appropriately staffed and supported to implement and maintain PRI domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of data privacy operations (e.g., privacy notice management software and customer management solution). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ A Data Protection Officer (DPO) is appointed: (1) Based on professional qualifications; and (2) To be involved in all issues related to how Personal Data (PD) is collected, received, processed, stored, transmitted, shared, updated and/or disposed.
Level 4 Quantitatively Controlled
Privacy (PRI) capabilities, in addition to being standardized across the entity and centrally managed to ensure consistency across Technology Assets, Applications, Services and/or Data (TAASD), efforts are metrics driven to provide sufficient insight for decision makers to predict optimal performance, ensure continued operations and/or identify areas for improvement. Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Applicable SCR-CMM Level 3 (Well Defined) capabilities are implemented and operational. ▪ Metrics reporting includes quantitative analysis of Key Performance Indicators (KPIs). ▪ Metrics reporting includes quantitative analysis of Key Risk Indicators (KRIs). ▪ Scope of metrics, KPIs and KRIs covers organization-wide cybersecurity and data protection controls, including functions performed by third-parties. ▪ Organizational leadership maintains a formal process to objectively review and respond to metrics, KPIs and KRIs (e.g., monthly or quarterly review). ▪ Based on metrics analysis, process improvement recommendations are submitted for review and are handled in accordance with change control processes. ▪ Business and technical stakeholders are involved in reviewing and approving proposed changes to evolve capabilities.
Level 5 Continuously Improving
Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
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SCF
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Data Protection Impact Assessment (DPIA)
Description
Mechanisms exist to conduct a Data Protection Impact Assessment (DPIA) on Technology Assets, Applications and/or Services (TAAS) that store, process and/or transmit Personal Data (PD) to identify and remediate reasonably-expected risks.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Risk Management Program (RMP) ∙ Data Protection Impact Assessment (DPIA) ∙ Privacy Impact Assessment (PIA)
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Risk Management Program (RMP) ∙ Data Protection Impact Assessment (DPIA) ∙ Privacy Impact Assessment (PIA)
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Risk Management Program (RMP) ∙ Data Protection Impact Assessment (DPIA) ∙ Privacy Impact Assessment (PIA)
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Risk Management Program (RMP) ∙ Data Protection Impact Assessment (DPIA) ∙ Privacy Impact Assessment (PIA)
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Risk Management Program (RMP) ∙ Data Protection Impact Assessment (DPIA) ∙ Privacy Impact Assessment (PIA)
SCR-CMM
Level 0 Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 Performed Informally
SCR-CMM Level 1 criteria definitions are not available for this control: ▪ A reasonable person would conclude this control requires a structured process. ▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.
Level 2 Planned Tracked
Risk Management (RSK) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with RSK domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with RSK domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with RSK domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Risk management-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Risk management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ Risk management processes (e.g., risk assessments) and technologies focus on protecting High Value Assets (HVAs), including environments where sensitive/regulated data is stored, transmitted and processed. ▪ IT and/or cybersecurity personnel implement and maintain a form of Risk Management Program (RMP) that provides operational guidance on how risk is identified, assessed, remediated and reported. ▪ Data/process owners are expected to self-manage risks associated with their systems, applications, services and data, based on the organization's published policies and standards, including the identification, remediation and reporting of risks. ▪ Business process owners (BPOs) are made aware of cybersecurity and data protection risk(s).
Level 3 Well Defined
Risk Management (RSK) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with RSK domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with RSK domain capabilities are well-documented and kept current by process owners. ▪ A risk management team, or similar function, is appropriately staffed and supported to implement and maintain RSK domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of risk management operations (e.g., risk management solution, GRC platform and TPRM tool). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with RSK domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ An implemented and operational capability exists to conduct a Data Protection Impact Assessment (DPIA) on Technology Assets, Applications and/or Services (TAAS) that store, process and/or transmit Personal Data (PD) to identify and remediate reasonably-expected risks.
Level 4 Quantitatively Controlled
Risk Management (RSK) capabilities, in addition to being standardized across the entity and centrally managed to ensure consistency across Technology Assets, Applications, Services and/or Data (TAASD), efforts are metrics driven to provide sufficient insight for decision makers to predict optimal performance, ensure continued operations and/or identify areas for improvement. Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Applicable SCR-CMM Level 3 (Well Defined) capabilities are implemented and operational. ▪ Metrics reporting includes quantitative analysis of Key Performance Indicators (KPIs). ▪ Metrics reporting includes quantitative analysis of Key Risk Indicators (KRIs). ▪ Scope of metrics, KPIs and KRIs covers organization-wide cybersecurity and data protection controls, including functions performed by third-parties. ▪ Organizational leadership maintains a formal process to objectively review and respond to metrics, KPIs and KRIs (e.g., monthly or quarterly review). ▪ Based on metrics analysis, process improvement recommendations are submitted for review and are handled in accordance with change control processes. ▪ Business and technical stakeholders are involved in reviewing and approving proposed changes to evolve capabilities.
Level 5 Continuously Improving
Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
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SCF
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Data Protection Impact Assessment (DPIA)
Description
Mechanisms exist to conduct a Data Protection Impact Assessment (DPIA) on Technology Assets, Applications and/or Services (TAAS) that store, process and/or transmit Personal Data (PD) to identify and remediate reasonably-expected risks.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Risk Management Program (RMP) ∙ Data Protection Impact Assessment (DPIA) ∙ Privacy Impact Assessment (PIA)
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Risk Management Program (RMP) ∙ Data Protection Impact Assessment (DPIA) ∙ Privacy Impact Assessment (PIA)
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Risk Management Program (RMP) ∙ Data Protection Impact Assessment (DPIA) ∙ Privacy Impact Assessment (PIA)
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Risk Management Program (RMP) ∙ Data Protection Impact Assessment (DPIA) ∙ Privacy Impact Assessment (PIA)
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Risk Management Program (RMP) ∙ Data Protection Impact Assessment (DPIA) ∙ Privacy Impact Assessment (PIA)
SCR-CMM
Level 0 Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 Performed Informally
SCR-CMM Level 1 criteria definitions are not available for this control: ▪ A reasonable person would conclude this control requires a structured process. ▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.
Level 2 Planned Tracked
Risk Management (RSK) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with RSK domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with RSK domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with RSK domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Risk management-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Risk management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ Risk management processes (e.g., risk assessments) and technologies focus on protecting High Value Assets (HVAs), including environments where sensitive/regulated data is stored, transmitted and processed. ▪ IT and/or cybersecurity personnel implement and maintain a form of Risk Management Program (RMP) that provides operational guidance on how risk is identified, assessed, remediated and reported. ▪ Data/process owners are expected to self-manage risks associated with their systems, applications, services and data, based on the organization's published policies and standards, including the identification, remediation and reporting of risks. ▪ Business process owners (BPOs) are made aware of cybersecurity and data protection risk(s).
Level 3 Well Defined
Risk Management (RSK) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with RSK domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with RSK domain capabilities are well-documented and kept current by process owners. ▪ A risk management team, or similar function, is appropriately staffed and supported to implement and maintain RSK domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of risk management operations (e.g., risk management solution, GRC platform and TPRM tool). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with RSK domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ An implemented and operational capability exists to conduct a Data Protection Impact Assessment (DPIA) on Technology Assets, Applications and/or Services (TAAS) that store, process and/or transmit Personal Data (PD) to identify and remediate reasonably-expected risks.
Level 4 Quantitatively Controlled
Risk Management (RSK) capabilities, in addition to being standardized across the entity and centrally managed to ensure consistency across Technology Assets, Applications, Services and/or Data (TAASD), efforts are metrics driven to provide sufficient insight for decision makers to predict optimal performance, ensure continued operations and/or identify areas for improvement. Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Applicable SCR-CMM Level 3 (Well Defined) capabilities are implemented and operational. ▪ Metrics reporting includes quantitative analysis of Key Performance Indicators (KPIs). ▪ Metrics reporting includes quantitative analysis of Key Risk Indicators (KRIs). ▪ Scope of metrics, KPIs and KRIs covers organization-wide cybersecurity and data protection controls, including functions performed by third-parties. ▪ Organizational leadership maintains a formal process to objectively review and respond to metrics, KPIs and KRIs (e.g., monthly or quarterly review). ▪ Based on metrics analysis, process improvement recommendations are submitted for review and are handled in accordance with change control processes. ▪ Business and technical stakeholders are involved in reviewing and approving proposed changes to evolve capabilities.
Level 5 Continuously Improving
Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
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