+Airteagal 15 Ceart rochtana don ábhar sonraí
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Airteagal 15 Ceart rochtana don ábhar sonraí

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1. Forbhreathnú

,
Airteagal 15 1.

Beidh sé de cheart ag an ábhar sonraí deimhniú a fháil ón rialaitheoir á rá an bhfuil sonraí pearsanta a bhaineann leis nó léi á bpróiseáil nó nach bhfuil, agus, i gcás inarb amhlaidh an cás, rochtain a fháil ar na sonraí pearsanta sin agus ar an bhfaisnéis seo a leanas:

(a) 

críocha na próiseála;

(b) 

catagóirí na sonraí pearsanta lena mbaineann;

(c) 

na faighteoirí nó na catagóirí faighteora a nochtadh nó a nochtfar na sonraí pearsanta dóibh, go háirithe faighteoirí i dtríú tíortha nó eagraíochtaí idirnáisiúnta;

(d) 

i gcás inar féidir, an tréimhse a meastar go stórálfar na sonraí pearsanta lena linn, nó murar féidir é sin, na critéir a úsáidtear chun an tréimhse sin a chinneadh;

(e) 

is ann don cheart a iarraidh ar an rialaitheoir go ndéanfaí sonraí pearsanta a cheartú nó a léirscriosadh nó próiseáil sonraí pearsanta a bhaineann leis an ábhar sonraí a shrianadh agus is ann don cheart agóid a dhéanamh i gcoinne próiseáil den sórt sin;

(f) 

an ceart gearán a thaisceadh le húdarás maoirseachta;

(g) 

i gcás nach mbailítear na sonraí pearsanta ón ábhar sonraí, aon fhaisnéis atá ar fáil maidir lena bhfoinse;

(h) 

is ann do chinnteoireacht uathoibrithe, lena n-áirítear próifíliú, dá dtagraítear in Airteagal 22(1) agus (4) agus, sna cásanna sin ar a laghad, d'fhaisnéis a bhaineann leis an loighic a bheidh i gceist, chomh maith le suntasacht na próiseála sin agus na hiarmhairtí a mheastar a bheadh aici ar an ábhar sonraí.
Airteagal 15 2.
I gcás go n-aistrítear sonraí pearsanta go dtí tríú tír nó chuig eagraíocht idirnáisiúnta, beidh sé de cheart ag an ábhar sonraí faisnéis a fháil maidir leis na coimircí iomchuí, de bhun Airteagal 46, a bhaineann leis an aistriú.
Airteagal 15 3.
Cuirfidh an rialaitheoir cóip de na sonraí pearsanta atá á bpróiseáil ar fáil. Le haghaidh tuilleadh cóipeanna a d'iarrfadh an t-ábhar sonraí, féadfaidh an rialaitheoir táille réasúnach a ghearradh bunaithe ar chostais riaracháin. ►C2  I gcás ina ndéanann an t-ábhar sonraí an iarraidh trí mheán leictreonach, agus mura n-iarrann an t-ábhar sonraí a mhalairt, cuirfear an fhaisnéis ar fáil i bhfoirm leictreonach a úsáidtear go coitianta. ◄
Airteagal 15 4.
An ceart chun cóip a fháil dá dtagraítear i mír 3, ní dhéanfar dochar do chearta ná do shaoirsí daoine eile leis.

1.1 Tagairtí

1.2 Ceanglais aitheanta

1.3 Caighdeáin ghaolmhara

2. Ceanglais aitheanta

Ceanglais

3. Caighdeáin ghaolmhara

Caighdeáin
SCF Personal Data (PD) Categories

Description

Mechanisms exist to define and implement data handling and protection requirements for specific categories of sensitive Personal Data (PD).

Possible Solutions & Considerations

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

∙ Data classification program
∙ Data privacy program
∙ Data Protection Impact Assessment (DPIA)
∙ Product / project management

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

∙ Data classification program
∙ Data privacy program
∙ Data Protection Impact Assessment (DPIA)
∙ Product / project management

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

∙ Data classification program
∙ Data privacy program
∙ Data Protection Impact Assessment (DPIA)
∙ Product / project management

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

∙ Data classification program
∙ Data privacy program
∙ Data Protection Impact Assessment (DPIA)
∙ Product / project management

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

∙ Data classification program
∙ Data privacy program
∙ Data Protection Impact Assessment (DPIA)
∙ Product / project management

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.

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 define and implement data handling and protection requirements for specific categories of sensitive Personal Data (PD).

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 Data Subject Empowerment

Description

Mechanisms exist to provide authenticated data subjects the ability to:
(1) Access their Personal Data (PD) that is being processed, stored and shared, except where the burden, risk or expense of providing access would be disproportionate to the benefit offered to the data subject through granting access;
(2) Obtain answers on the specifics of how their PD is collected, received, processed, stored, transmitted, shared, updated and/or disposed;
(3) Obtain the source(s) of their PD;
(4) Obtain the categories of their PD being collected, received, processed, stored and shared;
(5) Request correction to their PD due to inaccuracies;
(6) Request erasure of their PD; and
(7) Restrict the further collecting, receiving, processing, storing, transmitting, updated and/or sharing of their PD.

Possible Solutions & Considerations

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

∙ Data classification program
∙ Data privacy program
∙ Data Protection Impact Assessment (DPIA)
∙ Product / project management

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

∙ Data classification program
∙ Data privacy program
∙ Data Protection Impact Assessment (DPIA)
∙ Product / project management

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

∙ Data classification program
∙ Data privacy program
∙ Data Protection Impact Assessment (DPIA)
∙ Product / project management

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

∙ Data classification program
∙ Data privacy program
∙ Data Protection Impact Assessment (DPIA)
∙ Product / project management

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

∙ Data classification program
∙ Data privacy program
∙ Data Protection Impact Assessment (DPIA)
∙ Product / project management

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.

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 provide authenticated data subjects the ability to:
(1) Access their Personal Data (PD) that is being processed, stored and shared, except where the burden, risk or expense of providing access would be disproportionate to the benefit offered to the data subject through granting access;
(2) Obtain answers on the specifics of how their PD is collected, received, processed, stored, transmitted, shared, updated and/or disposed;
(3) Obtain the source(s) of their PD;
(4) Obtain the categories of their PD being collected, received, processed, stored and shared;
(5) Request correction to their PD due to inaccuracies;
(6) Request erasure of their PD; and
(7) Restrict the further collecting, receiving, processing, storing, transmitting, updated and/or sharing of their PD.

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.