+Internal Use of Personal Data (PD) For Testing, Training and Research

Internal Use of Personal Data (PD) For Testing, Training and Research

Description

Mechanisms exist to address the use of Personal Data (PD) for internal testing, training and research that:
(1) Takes measures to limit or minimize the amount of PD used for internal testing, training and research purposes; and
(2) Authorizes the use of PD when such information is required for internal testing, training and research.

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 address the use of Personal Data (PD) for internal testing, training and research that:
(1) Takes measures to limit or minimize the amount of PD used for internal testing, training and research purposes; and
(2) Authorizes the use of PD when such information is required for internal testing, training and research.

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.

1. Przegląd

Tytuł Norma

1.1 Odwołania

1.2 Zidentyfikowane wymagania

1.3 Powiązane regulacje

2. Zidentyfikowane wymagania

Wymagania
Źródło Wymaganie

3. Powiązane regulacje

Regulacje
Źródło Regulacja
DELAW BDSG § 27 Datenverarbeitung zu wissenschaftlichen oder historischen Forschungszwecken und zu statistischen Zwecken

(1) Abweichend von Artikel 9 Absatz 1 der Verordnung (EU) 2016/679 ist die Verarbeitung besonderer Kategorien personenbezogener Daten im Sinne des Artikels 9 Absatz 1 der Verordnung (EU) 2016/679 auch ohne Einwilligung für wissenschaftliche oder historische Forschungszwecke oder für statistische Zwecke zulässig, wenn die Verarbeitung zu diesen Zwecken erforderlich ist und die Interessen des Verantwortlichen an der Verarbeitung die Interessen der betroffenen Person an einem Ausschluss der Verarbeitung erheblich überwiegen. Der Verantwortliche sieht angemessene und spezifische Maßnahmen zur Wahrung der Interessen der betroffenen Person gemäß § 22 Absatz 2 Satz 2 vor.

(2) Die in den Artikeln 15, 16, 18 und 21 der Verordnung (EU) 2016/679 vorgesehenen Rechte der betroffenen Person sind insoweit beschränkt, als diese Rechte voraussichtlich die Verwirklichung der Forschungs- oder Statistikzwecke unmöglich machen oder ernsthaft beinträchtigen und die Beschränkung für die Erfüllung der Forschungs- oder Statistikzwecke notwendig ist. Das Recht auf Auskunft gemäß Artikel 15 der Verordnung (EU) 2016/679 besteht darüber hinaus nicht, wenn die Daten für Zwecke der wissenschaftlichen Forschung erforderlich sind und die Auskunftserteilung einen unverhältnismäßigen Aufwand erfordern würde.

(3) Ergänzend zu den in § 22 Absatz 2 genannten Maßnahmen sind zu wissenschaftlichen oder historischen Forschungszwecken oder zu statistischen Zwecken verarbeitete besondere Kategorien personenbezogener Daten im Sinne des Artikels 9 Absatz 1 der Verordnung (EU) 2016/679 zu anonymisieren, sobald dies nach dem Forschungs- oder Statistikzweck möglich ist, es sei denn, berechtigte Interessen der betroffenen Person stehen dem entgegen. Bis dahin sind die Merkmale gesondert zu speichern, mit denen Einzelangaben über persönliche oder sachliche Verhältnisse einer bestimmten oder bestimmbaren Person zugeordnet werden können. Sie dürfen mit den Einzelangaben nur zusammengeführt werden, soweit der Forschungs- oder Statistikzweck dies erfordert.

(4) Der Verantwortliche darf personenbezogene Daten nur veröffentlichen, wenn die betroffene Person eingewilligt hat oder dies für die Darstellung von Forschungsergebnissen über Ereignisse der Zeitgeschichte unerlässlich ist.

Powiązane zgłoszenia

Powiązania
Typ powiązania Zgłoszenie
is related to Annual
is related to relative Control Weighting = 08
is related to Data
is related to Identify
is related to SCRM Focus Tier 2 OPERATIONAL
blocks Unauthorized Retention / Inability to Dispose of Data
blocks Contractual Default / Termination
blocks Reputational Harm / Loss of Stakeholder Trust
blocks Regulatory / Legal / Contractual Financial Liability
blocks Unaddressed Security / Compliance Exposure
blocks Uncontrolled Internal Security / Privacy Exposure
blocks Inability to Demonstrate Due Diligence / Due Care
blocks AI Data Confidentiality / Integrity / Provenance Loss
blocks Sensitive Data / Compliance Exposure from Unsanctioned AI Use
blocks Loss of Confidentiality
blocks Privacy Harm / Unauthorized Processing
blocks Drought & Water Shortage
blocks Earthquakes
blocks Fire & Wildfires
blocks Floods
blocks Hurricanes & Tropical Storms
blocks Landslides & Debris Flow
blocks Pandemic (Disease) Outbreaks
blocks Severe Weather
blocks Space Weather
blocks Thunderstorms & Lightning
blocks Tornadoes
blocks Tsunamis
blocks Volcanoes
blocks Winter Storms & Extreme Cold
blocks Malicious Cyber Activity
blocks Dysfunctional Management Practices
blocks Human Error
blocks Technical / Mechanical Failure
blocks Statutory / Regulatory / Contractual Change
blocks Data Quality Degradation / Data Poisoning
blocks Fraud, Corruption and/or Intentional Criminal Conduct
is blocked by PRI-29.3 Internal Use of Personal Data (PD) For Testing, Training and Research – Assessment Procedure
blocks PM-25 Minimization of Personally Identifiable Information Used in Testing, Training, and Research
blocks PT-02 Authority to Process Personally Identifiable Information
blocks PT-03 Personally Identifiable Information Processing Purposes
blocks SI-12(01) Limit Personally Identifiable Information Elements
blocks SI-12(02) Minimize Personally Identifiable Information in Testing, Training, and Research
blocks PM-25 [P] Minimization of Personally Identifiable Information Used in Testing, Training, and Research
blocks PT-02 [P] Authority to Process Personally Identifiable Information
blocks PT-03 [P] Personally Identifiable Information Processing Purposes
blocks SI-12(01) [P] Limit Personally Identifiable Information Elements
blocks SI-12(02) [P] Minimize Personally Identifiable Information in Testing, Training, and Research
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