+45. pants Nosūtīšana, pamatojoties uz lēmumu par aizsardzības līmeņa pietiekamību
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45. pants Nosūtīšana, pamatojoties uz lēmumu par aizsardzības līmeņa pietiekamību

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1. Pārskats

,
45. pants 1.
Personas datu nosūtīšanu uz trešo valsti vai starptautisku organizāciju var veikt, ja Komisija ir nolēmusi, ka trešā valsts, kāda minētās trešās valsts teritorija vai viens vai vairāki konkrēti sektori, vai attiecīgā starptautiskā organizācija nodrošina pietiekamu aizsardzības līmeni. Šādai nosūtīšanai nav nepieciešama nekāda īpaša atļauja.
45. pants 2.

Izvērtējot aizsardzības līmeņa pietiekamību, Komisija jo īpaši ņem vērā šādus elementus:

a) 

tiesiskums, cilvēktiesību un pamatbrīvību ievērošana, attiecīgie tiesību akti, gan vispārējie, gan nozaru, tostarp attiecībā uz sabiedrisko drošību, aizsardzību, valsts drošību un krimināltiesībām un publisko iestāžu piekļuvi personas datiem, kā arī šādu tiesību aktu, datu aizsardzības noteikumu, dienesta noteikumu un drošības pasākumu īstenošana, tostarp noteikumi par personas datu tālāku nosūtīšanu uz citu trešo valsti vai starptautisko organizāciju, kurus ievēro minētajā valstī vai minētajā starptautiskajā organizācijā, judikatūra, kā arī tas, vai pastāv efektīvas un tiesiski īstenojamas datu subjektu tiesības un efektīva aizsardzība administratīvā kārtā vai tiesā tiem datu subjektiem, kuru personas datus nosūta;

b) 

tas, vai attiecīgajā trešā valstī vai attiecībā uz starptautisko organizāciju pastāv un efektīvi darbojas viena vai vairākas neatkarīgas uzraudzības iestādes, kuras ir atbildīgas par datu aizsardzības noteikumu ievērošanas nodrošināšanu un īstenošanu, tostarp ar adekvātām izpildes pilnvarām, par palīdzību un konsultāciju sniegšanu datu subjektiem saistībā ar viņu tiesību īstenošanu un par sadarbību ar dalībvalstu uzraudzības iestādēm; un

c) 

starptautiskās saistības, ko ir uzņēmusies attiecīgā trešā valsts vai starptautiskā organizācija, vai citi pienākumi, kas izriet no juridiski saistošām konvencijām vai instrumentiem, kā arī no tās dalības daudzpusējās vai reģionālās sistēmās, jo īpaši saistībā ar personas datu aizsardzību.
45. pants 3.
Komisija pēc aizsardzības līmeņa pietiekamības izvērtēšanas ar īstenošanas aktu var nolemt, ka trešā valsts, trešās valsts teritorija vai viens vai vairāki konkrēti sektori, vai starptautiska organizācija nodrošina pietiekamu aizsardzības līmeni šā panta 2. punkta nozīmē. Īstenošanas aktā paredz periodiskas, vismaz reizi četros gados notiekošas pārskatīšanas mehānismu, kurā ņem vērā visas attiecīgās norises trešajā valstī vai starptautiskajā organizācijā. Īstenošanas aktā precizē tā teritoriālo un sektoriālo piemērošanu un attiecīgā gadījumā norāda šā panta 2. punkta b) apakšpunktā minēto uzraudzības iestādi vai iestādes. Īstenošanas aktu pieņem saskaņā ar pārbaudes procedūru, kas minēta 93. panta 2. punktā.
45. pants 4.
Komisija trešās valstīs un starptautiskajās organizācijās pastāvīgi uzrauga norises, kas varētu ietekmēt saskaņā ar šā panta 3. punktu pieņemto lēmumu un, balstoties uz Direktīvas 95/46/EK 25. panta 6. punktu, pieņemto lēmumu darbību.
45. pants 5.
Ja pieejamā informācija, jo īpaši pēc šā panta 3. punktā minētās pārskatīšanas, liecina, ka kāda trešā valsts, teritorija vai viens vai vairāki konkrēti sektori trešā valstī, vai kāda starptautiska organizācija vairs nenodrošina pietiekamu aizsardzības līmeni šā panta 2. punkta nozīmē, Komisija, pieņemot īstenošanas aktus, ciktāl tas nepieciešams atceļ, groza vai aptur šā panta 3. punktā minēto lēmumu bez atpakaļejoša spēka. Minētos īstenošanas aktus pieņem saskaņā ar 93. panta 2. punktā minēto pārbaudes procedūru.

Pienācīgi pamatotu nenovēršamu un steidzamu iemeslu dēļ Komisija saskaņā ar procedūru, kura minēta 93. panta 3. punktā, pieņem īstenošanas aktus, kas jāpiemēro nekavējoties.
45. pants 6.
Komisija ar trešo valsti vai starptautisko organizāciju sāk konsultācijas, lai labotu stāvokli, kura dēļ saskaņā ar 5. punktu ir pieņemts lēmums.
45. pants 7.
Saskaņā ar šā panta 5. punktu pieņemts lēmums neskar personas datu nosūtīšanu uz trešo valsti, teritoriju vai vienu vai vairākiem konkrētiem sektoriem minētajā trešā valstī, vai attiecīgu starptautisku organizāciju atbilstīgi 46.–49. pantam.
45. pants 8.
Komisija Eiropas Savienības Oficiālajā Vēstnesī un savā tīmekļa vietnē publicē sarakstu ar tām trešām valstīm, teritorijām un konkrētiem sektoriem trešā valstī un starptautiskām organizācijām, attiecībā uz kurām tā ir pieņēmusi lēmumu, ka ir vai vairs nav nodrošināts pietiekams aizsardzības līmenis.
45. pants 9.
Lēmumi, ko Komisija pieņēmusi, pamatojoties uz Direktīvas 95/46/EK 25. panta 6. punktu, ir spēkā, kamēr tos negroza, neaizstāj vai neatceļ ar Komisijas lēmumu, kas pieņemts saskaņā ar šā panta 3. vai 5. punktu.

1.1 Atsauces

1.2 Identificētās prasības

1.3 Saistītie standarti

2. Identificētās prasības

Prasības

3. Saistītie standarti

Standarti
SCF Ad-Hoc Transfers

Description

Mechanisms exist to secure ad-hoc exchanges of large digital files with internal or external parties.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Data classification program
∙ Secure Baseline Configurations (SBC)
∙ Content / DNS filtering

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ Data classification program
∙ Secure Baseline Configurations (SBC)
∙ Content / DNS filtering

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Data classification program
∙ Secure Baseline Configurations (SBC)
∙ Content / DNS filtering

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ Data classification program
∙ Secure Baseline Configurations (SBC)
∙ Content / DNS filtering∙ Data governance program

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Data classification program
∙ Secure Baseline Configurations (SBC)
∙ Content / DNS filtering∙ Data governance program

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

Data Classification & Handling (DCH) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include:
▪ Policies, standards & procedures associated with DCH domain capabilities provide limited coverage due to the depth and breadth of the existing documentation.
▪ Data management-related activities are decentralized (e.g., a localized/regionalized function) and uses non-standardized methods to implement secure, resilient and compliant practices.
▪ Restrictions for ad-hoc data transfers are primarily administrative in nature (e.g., policies & standards).

Level 2 Planned Tracked

Data Classification & Handling (DCH) 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 DCH domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with DCH 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 DCH domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Data classification and handling-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines).
▪ Data classification and handling management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.
▪ A formalized data classification scheme exists to identify categories of data, based on protection requirements from applicable laws, regulations and/or contractual obligations.
▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to document where sensitive/regulated data is stored, transmitted and/or processed.

Level 3 Well Defined

Data Classification & Handling (DCH) 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 DCH 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 DCH domain capabilities are well-documented and kept current by process owners.
▪ A Governance, Risk & Compliance (GRC) team, or similar function, is appropriately staffed and supported to implement and maintain DCH domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of data classification and handling operations (e.g., GRC platform).
▪ 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 DCH 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 secure ad-hoc exchanges of large digital files with internal or external parties.

Level 4 Quantitatively Controlled

Data Classification & Handling (DCH) 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

Data Classification & Handling (DCH) 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.
▪ Based on predictive analysis, process improvements are implemented according to “continuous improvement” practices that affect process changes.
▪ Stakeholders make time-sensitive decisions to support operational efficiency, which may include automated remediation actions via Artificial Intelligence (AI) or Machine Learning (ML) technologies.
SCF External Transfer of Sensitive / Regulated Data

Description

Mechanisms exist to restrict and govern the transfer of sensitive and/or regulated data:
(1) Cross-border; and/or
(2) Interorganizational.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Model contracts
∙ Binding Corporate Rules (BCR)

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ Model contracts
∙ Binding Corporate Rules (BCR)

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Model contracts
∙ Binding Corporate Rules (BCR)

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ Model contracts
∙ Binding Corporate Rules (BCR)

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Model contracts
∙ Binding Corporate Rules (BCR)

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

Data Classification & Handling (DCH) 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 DCH domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with DCH 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 DCH domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Data classification and handling-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines).
▪ Data classification and handling management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.
▪ A formalized data classification scheme exists to identify categories of data, based on protection requirements from applicable laws, regulations and/or contractual obligations.

Level 3 Well Defined

Data Classification & Handling (DCH) 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 DCH 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 DCH domain capabilities are well-documented and kept current by process owners.
▪ A Governance, Risk & Compliance (GRC) team, or similar function, is appropriately staffed and supported to implement and maintain DCH domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of data classification and handling operations (e.g., GRC platform).
▪ 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 DCH 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 restrict and govern the transfer of sensitive and/or regulated data to third-countries or international organizations.

Level 4 Quantitatively Controlled

Data Classification & Handling (DCH) 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

Data Classification & Handling (DCH) 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.
▪ Based on predictive analysis, process improvements are implemented according to “continuous improvement” practices that affect process changes.
▪ Stakeholders make time-sensitive decisions to support operational efficiency, which may include automated remediation actions via Artificial Intelligence (AI) or Machine Learning (ML) technologies.
SCF Binding Corporate Rules (BCR)

Description

Mechanisms exist to implement and manage Binding Corporate Rules (BCR) (e.g., data sharing agreement) to legally-bind all parties engaged in a joint economic activity that contractually states enforceable rights on data subjects with regard to the processing of their personal data.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Data privacy program

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ Data privacy program

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Data privacy program

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ Data privacy program

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Data privacy program

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

SCR-CMM Level 2 criteria definitions are not available for this control:
▪ A reasonable person would conclude a well-defined and standardized process is required.
▪ At this level of maturity, the “requirements-driven” nature of performing the control is focused on a localized and/or regionalized implementation, not uniform and consistent across the organization.
▪ Requirements are narrowly scoped for applicability and are primarily derived from compliance obligations (e.g., laws, regulations and contracts).

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).
▪ An implemented and operational capability exists to implement and manage Binding Corporate Rules (BCR) (e.g., data sharing agreement) to legally-bind all parties engaged in a joint economic activity that contractually states enforceable rights on data subjects with regard to the processing of their personal data.

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.
SCF Binding Corporate Rules (BCR)

Description

Mechanisms exist to implement and manage Binding Corporate Rules (BCR) (e.g., data sharing agreement) to legally-bind all parties engaged in a joint economic activity that contractually states enforceable rights on data subjects with regard to the processing of their personal data.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Data privacy program

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ Data privacy program

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Data privacy program

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ Data privacy program

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Data privacy program

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

SCR-CMM Level 2 criteria definitions are not available for this control:
▪ A reasonable person would conclude a well-defined and standardized process is required.
▪ At this level of maturity, the “requirements-driven” nature of performing the control is focused on a localized and/or regionalized implementation, not uniform and consistent across the organization.
▪ Requirements are narrowly scoped for applicability and are primarily derived from compliance obligations (e.g., laws, regulations and contracts).

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).
▪ An implemented and operational capability exists to implement and manage Binding Corporate Rules (BCR) (e.g., data sharing agreement) to legally-bind all parties engaged in a joint economic activity that contractually states enforceable rights on data subjects with regard to the processing of their personal data.

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.