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+AI & Autonomous Technologies Supply Chain Impacts |
AI & Autonomous Technologies Supply Chain ImpactsDescriptionMechanisms exist to address Artificial Intelligence (AI) and Autonomous Technologies (AAT)-related risks and benefits arising from the organization's supply chain, including third-party software and data.Possible Solutions & ConsiderationsMicro-Small Business (<10 staff) / BLS Firm Size Classes 1-2∙ Risk Management Program (RMP)∙ Data Protection Impact Assessment (DPIA) ∙ Business Impact Analysis (BIA) Small Business (10-49 staff) / BLS Firm Size Classes 3-4∙ Risk Management Program (RMP)∙ Data Protection Impact Assessment (DPIA) ∙ Business Impact Analysis (BIA) Medium Business (50-249 staff) / BLS Firm Size Classes 5-6∙ Risk Management Program (RMP)∙ Data Protection Impact Assessment (DPIA) ∙ Business Impact Analysis (BIA) Large Business (250-999 staff) / BLS Firm Size Classes 7-8∙ Risk Management Program (RMP)∙ Data Protection Impact Assessment (DPIA) ∙ Business Impact Analysis (BIA) Enterprise (> 1,000 staff) / BLS Firm Size Class 9∙ Risk Management Program (RMP)∙ Data Protection Impact Assessment (DPIA) ∙ Business Impact Analysis (BIA) SCR-CMMLevel 0 Not PerformedPractices 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 InformallyRisk Management (RSK) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include:▪ Policies, standards & procedures associated with RSK domain capabilities provide limited coverage due to the depth and breadth of the existing documentation. ▪ Risk management-related activities are decentralized (e.g., a localized/regionalized function) and uses non-standardized methods to implement secure, resilient and compliant practices. ▪ IT and/or cybersecurity personnel use an informal process to identify, assess, remediate and report on risk. ▪ Risk management processes (e.g., risk assessments) focus on protecting High Value Assets (HVAs), including environments where sensitive/regulated data is stored, transmitted and processed. ▪ Data/process owners are expected to self-manage risks associated with their Technology Assets, Applications, Services and/or Data (TAASD), based on the organization's published policies and standards, including the identification, remediation and reporting of risks. Level 2 Planned TrackedSCR-CMM Level 2 criteria definitions are not available for this control:▪ A reasonable person would conclude a well-defined and standardized process is required. ▪ At this level of maturity, the “requirements-driven” nature of performing the control is focused on a localized and/or regionalized implementation, not uniform and consistent across the organization. ▪ Requirements are narrowly scoped for applicability and are primarily derived from compliance obligations (e.g., laws, regulations and contracts). Level 3 Well DefinedRisk Management (RSK) 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 RSK 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 RSK domain capabilities are well-documented and kept current by process owners. ▪ A risk management team, or similar function, is appropriately staffed and supported to implement and maintain RSK domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of risk management operations (e.g., risk management solution, GRC platform and TPRM tool). ▪ 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 RSK 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 Artificial Intelligence (AI) and Autonomous Technologies (AAT)-related risks and benefits arising from the organization's supply chain, including third-party software and data. Level 4 Quantitatively ControlledUtilize 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 ImprovingUtilize 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. Ħarsa ġenerali
1.1 Referenzi1.2 Rekwiżiti identifikati1.3 Regolamenti relatati2. Rekwiżiti identifikati
3. Regolamenti relatati
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