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+Artificial Intelligence & Autonomous Technologies Policy |
Artificial Intelligence & Autonomous Technologies PolicyDescriptionMechanisms exist to establish a formal, documented Artificial Intelligence and Autonomous Technologies (AAT) policy that:(1) Conveys executive management's intent; (2) Provides organizational direction and expected behaviors; (3) Is reviewed at least annually; and (4) Is updated, as necessary, to adapt to evolving risks, threats and other changes that affect the organization. Possible Solutions & ConsiderationsMicro-Small Business (<10 staff) / BLS Firm Size Classes 1-2∙ ComplianceForge - Security, Compliance & Resilience Program (SCRP) (https://complianceforge.com)∙ Executive-approved written policy with documented annual review Small Business (10-49 staff) / BLS Firm Size Classes 3-4∙ ComplianceForge - Security, Compliance & Resilience Program (SCRP) (https://complianceforge.com)∙ Executive-approved written policy with documented annual review ∙ Policy acknowledgement tracking (e.g., HR onboarding records) Medium Business (50-249 staff) / BLS Firm Size Classes 5-6∙ ComplianceForge - Security, Compliance & Resilience Program (SCRP) (https://complianceforge.com)∙ GRC solution (e.g., SCFConnect, Cyturus, SureCloud, SimpleRisk, Ignyte, ZenGRC, Galvanize, MetricStream, Archer, etc.) for policy lifecycle management ∙ Documented annual policy review with version control Large Business (250-999 staff) / BLS Firm Size Classes 7-8∙ ComplianceForge - Security, Compliance & Resilience Program (SCRP) (https://complianceforge.com)∙ GRC solution (e.g., SCFConnect, Cyturus, SureCloud, SimpleRisk, Ignyte, ZenGRC, Galvanize, MetricStream, Archer, etc.) for policy lifecycle management ∙ Policy governance committee with formal annual review and approval workflow ∙ Automated policy attestation and acknowledgement tracking Enterprise (> 1,000 staff) / BLS Firm Size Class 9∙ Steering committee∙ ComplianceForge - Security, Compliance & Resilience Program (SCRP) (https://complianceforge.com) ∙ Enterprise GRC platform (e.g., Cyturus, Archer, MetricStream, ServiceNow IRM) for policy lifecycle management ∙ Automated policy attestation, exception tracking and change history ∙ Annual executive approval and board-level reporting 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 InformallySCR-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 TrackedArtificial Intelligence and Autonomous Technology (AAT) 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 AAT domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with AAT 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 AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. Level 3 Well DefinedArtificial Intelligence and Autonomous Technology (AAT) 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 AAT 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 AAT domain capabilities are well-documented and kept current by process owners. ▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance 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 AAT 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). 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. Přehled
1.1 Odkazy1.2 Identifikované požadavky1.3 Související regulace2. Identifikované požadavky
3. Související regulace
Propojené úkoly
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