+Член 37 Определяне на длъжностното лице по защита на данните
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Член 37 Определяне на длъжностното лице по защита на данните

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1. Преглед

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Член 37 1.

Администраторът и обработващият лични данни определят длъжностно лице по защита на данните във всички случаи, когато:

a) 

обработването се извършва от публичен орган или структура, освен когато става въпрос за съдилища при изпълнение на съдебните им функции;

б) 

основните дейности на администратора или обработващия лични данни се състоят в операции по обработване, които поради своето естество, обхват и/или цели изискват редовно и систематично мащабно наблюдение на субектите на данни; или

▼C1

в) 

основните дейности на администратора или обработващия лични данни се състоят в мащабно обработване на специалните категории данни съгласно член 9 или на лични данни, свързани с присъди и нарушения, по член 10.

▼B

Член 37 2.
Група предприятия може да назначи едно длъжностно лице по защита на данните, при условие че от всяко предприятие има лесен достъп до длъжностно лице по защита на данните.
Член 37 3.
Когато администраторът или обработващият лични данни е обществен орган или структура, едно длъжностно лице по защита на данните може да бъде назначено за няколко такива органа или структури, като се отчита организационната им структура и размер.
Член 37 4.
В случаи, различни от посочените в параграф 1, администраторът или обработващият лични данни или сдружения и други структури, представляващи категории администратори или обработващи лични данни, могат да определят — или ако това се иска от правото на Съюза или право на държава членка определят — длъжностно лице по защита на данните. Длъжностното лице по защита на данните може да действа в полза на такива сдружения и други структури, представляващи администратори или обработващи лични данни.
Член 37 5.
Длъжностното лице по защита на данните се определя въз основа на неговите професионални качества, и по-специално въз основа на експертните му познания в областта на законодателството и практиките в областта на защитата на данните и способността му да изпълнява задачите, посочени в член 39.
Член 37 6.
Длъжностното лице по защита на данните може да бъде член на персонала на администратора или на обработващия лични данни или да изпълнява задачите въз основа на договор за услуги.
Член 37 7.
Администраторът или обработващият лични данни публикува данните за контакт с длъжностното лице по защита на данните и ги съобщава на надзорния орган.

1.1 Препратки

1.2 Идентифицирани изисквания

1.3 Свързани стандарти

2. Идентифицирани изисквания

Изисквания

3. Свързани стандарти

Стандарти
SCF 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.
SCF 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.