+Article 12 High-risk AI systems
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Article 12 High-risk AI systems
Article 12
1. Without prejudice to the requirements relating to accuracy and robustness set out in Article 15 of Regulation (EU) 2024/1689, products with digital elements which fall within the scope of this Regulation and which are classified as high-risk AI systems pursuant to Article 6 of that Regulation shall be deemed to comply with the cybersecurity requirements set out in Article 15 of that Regulation where:
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(a)
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those products fulfil the essential cybersecurity requirements set out in Part I of Annex I;
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(b)
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the processes put in place by the manufacturer comply with the essential cybersecurity requirements set out in Part II of Annex I; and
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(c)
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the achievement of the level of cybersecurity protection required under Article 15 of Regulation (EU) 2024/1689 is demonstrated in the EU declaration of conformity issued under this Regulation.
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2. For the products with digital elements and cybersecurity requirements referred to in paragraph 1 of this Article, the relevant conformity assessment procedure provided for in Article 43 of Regulation (EU) 2024/1689 shall apply. For the purposes of that assessment, notified bodies which are competent to control the conformity of the high-risk AI systems under Regulation (EU) 2024/1689 shall also be competent to control the conformity of high-risk AI systems which fall within the scope of this Regulation with the requirements set out in Annex I to this Regulation, provided that the compliance of those notified bodies with the requirements laid down in Article 39 of this Regulation has been assessed in the context of the notification procedure under Regulation (EU) 2024/1689.
3. By way of derogation from paragraph 2 of this Article, important products with digital elements as listed in Annex III to this Regulation, which are subject to the conformity assessment procedures referred to in Article 32(2), points (a) and (b), and Article 32(3) of this Regulation and critical products with digital elements as listed in Annex IV to this Regulation which are required to obtain a European cybersecurity certificate pursuant to Article 8(1) of this Regulation or, absent that, which are subject to the conformity assessment procedures referred to in Article 32(3) of this Regulation, and which are classified as high-risk AI systems pursuant to Article 6 of Regulation (EU) 2024/1689, and to which the conformity assessment procedure based on internal control as referred to in Annex VI to Regulation (EU) 2024/1689 applies, shall be subject to the conformity assessment procedures provided for in this Regulation in so far as the essential cybersecurity requirements set out in this Regulation are concerned.
4. Manufacturers of products with digital elements as referred to in paragraph 1 of this Article may participate in the AI regulatory sandboxes referred to in Article 57 of Regulation (EU) 2024/1689.
1. Übersicht
1.1 Referenzen
1.2 Identifizierte Anforderungen
1.3 Related Standards
2. Identifizierte Anforderungen
Anforderungen
| Source |
Anforderung |
3. Related Standards
Standards
| Source |
Anforderung |
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SCF
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Localized Representation
Description
Mechanisms exist to appoint localized representation with a physical presence in localities, as required by applicable laws and/or regulations.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Document applicable regulatory requirements in a checklist
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Compliance checklist
∙ Annual compliance review
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Compliance management program
∙ Regulatory mapping
∙ Compliance calendar
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ GRC solution (e.g., SCFConnect, Cyturus, SureCloud, SimpleRisk, Ignyte, ZenGRC, Galvanize, MetricStream, Archer, etc.)
∙ Compliance team
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ GRC solution (e.g., SCFConnect, Cyturus, SureCloud, SimpleRisk, Ignyte, ZenGRC, Galvanize, MetricStream, Archer, etc.)
∙ Dedicated compliance team
∙ Automated compliance monitoring
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
Compliance (CPL) 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 CPL domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with CPL 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 CPL domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Compliance management controls-related controls are primarily administrative and preventative in nature (e.g., policies, standards, procedures & guidelines).
▪ Compliance management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.
▪ External compliance requirements for cybersecurity and data privacy are identified and documented, based on applicable laws, regulations and contractual obligations.
Level 3 Well Defined
Compliance (CPL) 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 CPL 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 CPL 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 CPL domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of governance, risk management and compliance 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 CPL 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 appoint localized representation with a physical presence in localities, as required by applicable laws and/or regulations.
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.
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SCF
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Representative Powers
Description
Mechanisms exist to contract localized representation to perform specified functions in regard to representing statutory and/or regulatory compliance matters.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Document applicable regulatory requirements in a checklist
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Compliance checklist
∙ Annual compliance review
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Compliance management program
∙ Regulatory mapping
∙ Compliance calendar
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ GRC solution (e.g., SCFConnect, Cyturus, SureCloud, SimpleRisk, Ignyte, ZenGRC, Galvanize, MetricStream, Archer, etc.)
∙ Compliance team
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ GRC solution (e.g., SCFConnect, Cyturus, SureCloud, SimpleRisk, Ignyte, ZenGRC, Galvanize, MetricStream, Archer, etc.)
∙ Dedicated compliance team
∙ Automated compliance monitoring
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
Compliance (CPL) 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 CPL domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with CPL 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 CPL domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Compliance management controls-related controls are primarily administrative and preventative in nature (e.g., policies, standards, procedures & guidelines).
▪ Compliance management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.
▪ External compliance requirements for cybersecurity and data privacy are identified and documented, based on applicable laws, regulations and contractual obligations.
Level 3 Well Defined
Compliance (CPL) 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 CPL 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 CPL 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 CPL domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of governance, risk management and compliance 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 CPL 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 contract localized representation to perform specified functions in regard to representing statutory and/or regulatory compliance matters.
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.
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