+Članak 45. Prijenosi na temelju odluke o primjerenosti
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Članak 45. Prijenosi na temelju odluke o primjerenosti

1. Pregled

,
Članak 45. 1.
Prijenos osobnih podataka trećoj zemlji ili međunarodnoj organizaciji može se dogoditi kada Komisija odluči da treća zemlja, područje, ili jedan ili više određenih sektora unutar te treće zemlje, ili međunarodna organizacija o kojoj je riječ osigurava primjerenu razinu zaštite. Takav prijenos ne zahtijeva posebno odobrenje.
Članak 45. 2.

Prilikom procjene primjerenosti stupnja zaštite Komisija osobito uzima u obzir sljedeće elemente:

(a) 

vladavinu prava, poštovanje ljudskih prava i temeljnih sloboda, relevantno zakonodavstvo, i opće i sektorsko, što uključuje zakonodavstvo o javnoj sigurnosti, obrani, nacionalnoj sigurnosti, kaznenom pravu i pristupu tijela javne vlasti osobnim podacima, kao i provedbu tog zakonodavstva, pravila o zaštiti podataka, pravila struke i mjere sigurnosti, što uključuje pravila za daljnji prijenos osobnih podataka još jednoj trećoj zemlji ili međunarodnoj organizaciji, koja se poštuju u toj trećoj zemlji ili međunarodnoj organizaciji, sudsku praksu te postojanje djelotvornih i provedivih prava ispitanika te učinkovite upravne i sudske zaštite ispitanika čiji se osobni podaci prenose;

(b) 

postojanje i djelotvorno funkcioniranje jednog neovisnog nadzornog tijela ili više njih u trećoj zemlji, ili tijela kojem podliježe međunarodna organizacija, s odgovornošću osiguravanja i provođenja poštovanja pravila o zaštiti podataka, što uključuje primjerene provedbene ovlasti za pomoć ispitanicima i savjetovanje ispitanika u ostvarivanju njihovih prava te za suradnju s nadzornim tijelima država članica; i

(c) 

međunarodne obveze koje je dotična treća zemlja ili međunarodna organizacija preuzela, ili druge obveze koje proizlaze iz pravno obvezujućih konvencija ili instrumenata, kao i iz njezina sudjelovanja u multilateralnim ili regionalnim sustavima, osobito u vezi sa zaštitom osobnih podataka.
Članak 45. 3.
Komisija nakon procjene primjerenosti stupnja zaštite može putem provedbenog akta odlučiti da treća zemlja, područje, ili jedan ili više određenih sektora unutar treće zemlje, ili međunarodna organizacija osigurava primjerenu razinu zaštite u smislu stavka 2. ovog članka. U provedbenom aktu predviđa se mehanizam za periodično preispitivanje, najmanje svake četiri godine, kojim će se uzeti u obzir svi relevantni događaji u toj trećoj zemlji ili međunarodnoj organizaciji. U provedbenom aktu precizira se teritorijalna i sektorska primjena, a prema potrebi utvrđuje se i nadzorno tijelo ili nadzorna tijela iz stavka 2. točke (b) ovog članka. Provedbeni akt donosi se u skladu s postupkom ispitivanja iz članka 93. stavka 2.
Članak 45. 4.
Komisija kontinuirano prati razvoj događaja u trećim zemljama i međunarodnim organizacijama koji bi mogli utjecati na funkcioniranje odluka donesenih u skladu sa stavkom 3. ovog članka i odluka donesenih na temelju članka 25. stavka 6. Direktive 95/46/EZ.
Članak 45. 5.
Ako dostupne informacije otkrivaju, a osobito nakon preispitivanja iz stavka 3. ovog članka, da treća zemlja, područje ili jedan ili više određenih sektora unutar treće zemlje, ili međunarodna organizacija više ne osigurava primjerenu razinu zaštite u smislu stavka 2. ovog članka u mjeri u kojoj je to potrebno, Komisija provedbenim aktima stavlja izvan snage, mijenja ili suspendira odluku iz stavka 3. ovog članka bez retroaktivnog učinka. Ti provedbeni akti donose se u skladu s postupkom ispitivanja iz članka 93. stavka 2.

Zbog valjano utemeljenih krajnje hitnih razloga, Komisija donosi odmah primjenjive provedbene akte u skladu s postupkom iz članka 93. stavka 3.
Članak 45. 6.
Komisija započinje savjetovanje s trećom zemljom ili međunarodnom organizacijom radi popravljanja stanja koje je dovelo do odluke u skladu sa stavkom 5.
Članak 45. 7.
Odluka u skladu sa stavkom 5. ovog članka ne dovodi u pitanje prijenose osobnih podataka u treću zemlju, na područje, ili u jedan ili više određenih sektora unutar te treće zemlje, ili međunarodnu organizaciju o kojoj je riječ u skladu s člancima od 46. do 49.
Članak 45. 8.
U Službenom listu Europske unije i na svojoj internetskoj stranici Komisija objavljuje popis trećih zemalja, područja i određenih sektora unutar treće zemlje i međunarodnih organizacija u pogledu kojih je donijela odluku da ne osiguravaju odgovarajuću razinu zaštite ili da je više ne osiguravaju.
Članak 45. 9.
Odluke koje je Komisija donijela na temelju članka 25. stavka 6. Direktive 95/46/EZ ostaju na snazi dok se ne izmijene, zamijene ili stave izvan snage odlukom Komisije donesenom u skladu sa stavkom 3. ili 5. ovog članka.

1.1 Reference

1.2 Utvrđeni zahtjevi

1.3 Povezani standardi

2. Utvrđeni zahtjevi

Zahtjevi

3. Povezani standardi

Standardi
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.