+Artículo 49 Excepciones para situaciones específicas
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Artículo 49 Excepciones para situaciones específicas
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1. Resumen
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Regulación |
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Artículo 49 1.
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En ausencia de una decisión de adecuación de conformidad con el artículo 45, apartado 3, o de garantías adecuadas de conformidad con el artículo 46, incluidas las normas corporativas vinculantes, una transferencia o un conjunto de transferencias de datos personales a un tercer país u organización internacional únicamente se realizará si se cumple alguna de las condiciones siguientes:
a)
el interesado haya dado explícitamente su consentimiento a la transferencia propuesta, tras haber sido informado de los posibles riesgos para él de dichas transferencias debido a la ausencia de una decisión de adecuación y de garantías adecuadas;
b)
la transferencia sea necesaria para la ejecución de un contrato entre el interesado y el responsable del tratamiento o para la ejecución de medidas precontractuales adoptadas a solicitud del interesado;
c)
la transferencia sea necesaria para la celebración o ejecución de un contrato, en interés del interesado, entre el responsable del tratamiento y otra persona física o jurídica;
d)
la transferencia sea necesaria por razones importantes de interés público;
e)
la transferencia sea necesaria para la formulación, el ejercicio o la defensa de reclamaciones;
f)
la transferencia sea necesaria para proteger los intereses vitales del interesado o de otras personas, cuando el interesado esté física o jurídicamente incapacitado para dar su consentimiento;
g)
la transferencia se realice desde un registro público que, con arreglo al Derecho de la Unión o de los Estados miembros, tenga por objeto facilitar información al público y esté abierto a la consulta del público en general o de cualquier persona que pueda acreditar un interés legítimo, pero sólo en la medida en que se cumplan, en cada caso particular, las condiciones que establece el Derecho de la Unión o de los Estados miembros para la consulta.
Cuando una transferencia no pueda basarse en disposiciones de los artículos 45 o 46, incluidas las disposiciones sobre normas corporativas vinculantes, y no sea aplicable ninguna de las excepciones para situaciones específicas a que se refiere el párrafo primero del presente apartado, solo se podrá llevar a cabo si no es repetitiva, afecta solo a un número limitado de interesados, es necesaria a los fines de intereses legítimos imperiosos perseguidos por el responsable del tratamiento sobre los que no prevalezcan los intereses o derechos y libertades del interesado, y el responsable del tratamiento evaluó todas las circunstancias concurrentes en la transferencia de datos y, basándose en esta evaluación, ofreció garantías apropiadas con respecto a la protección de datos personales. El responsable del tratamiento informará a la autoridad de control de la transferencia. Además de la información a que hacen referencia los artículos 13 y 14, el responsable del tratamiento informará al interesado de la transferencia y de los intereses legítimos imperiosos perseguidos.
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Artículo 49 2.
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Una transferencia efectuada de conformidad con el apartado 1, párrafo primero, letra g), no abarcará la totalidad de los datos personales ni categorías enteras de datos personales contenidos en el registro. Si la finalidad del registro es la consulta por parte de personas que tengan un interés legítimo, la transferencia solo se efectuará a solicitud de dichas personas o si estas han de ser las destinatarias.
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Artículo 49 3.
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En el apartado 1, el párrafo primero, letras a), b) y c), y el párrafo segundo no serán aplicables a las actividades llevadas a cabo por las autoridades públicas en el ejercicio de sus poderes públicos.
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Artículo 49 4.
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El interés público contemplado en el apartado 1, párrafo primero, letra d), será reconocido por el Derecho de la Unión o de los Estados miembros que se aplique al responsable del tratamiento.
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Artículo 49 5.
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En ausencia de una decisión por la que se constate la adecuación de la protección de los datos, el Derecho de la Unión o de los Estados miembros podrá, por razones importantes de interés público, establecer expresamente límites a la transferencia de categorías específicas de datos a un tercer país u organización internacional. Los Estados miembros notificarán a la Comisión dichas disposiciones.
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Artículo 49 6.
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El responsable o el encargado del tratamiento documentarán en los registros indicados en el artículo 30 la evaluación y las garantías apropiadas a que se refiere el apartado 1, párrafo segundo, del presente artículo.
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1.1 Referencias
1.2 Requisitos identificados
1.3 Estándares relacionados
2. Requisitos identificados
Requisitos
| Fuente |
Requisito |
3. Estándares relacionados
Estándares
| Fuente |
Requisito |
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SCF
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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.
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SCF
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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.
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