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SAT-05.3: AI & Autonomous Technologies Risk Management Training

SAT 5 — Medium Identify

Mechanisms exist to ensure personnel and external stakeholders are provided with position-specific risk management training for Artificial Intelligence (AI) and Autonomous Technologies (AAT).

Renumbered: Formerly AAT-05 in SCF 2025.4.

Control Question: Does the organization ensure personnel and external stakeholders are provided with position-specific risk management training for Artificial Intelligence (AI) and Autonomous Technologies (AAT)?

General (2)
Framework Mapping Values
ISO 42001 2023 7.2
NIST AI 600-1 GV-2.1-003 MS-3.3-004

Capability Maturity Model

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

Artificial Intelligence and Autonomous Technology (AAT) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include: ▪ Policies, standards & procedures associated with AAT domain capabilities provide limited coverage due to the depth and breadth of the existing documentation. ▪ AAT-related processes are expected to follow the organization's existing processes (e.g., incident response, asset management, change control and risk assessments). ▪ No formal Governance, Risk & Compliance (GRC) team exists to provide AAT oversight, where the Chief Information Officer (CIO), or similar function, governs technology decisions what is acceptable for AAT within the organization.

Level 2 — Planned & Tracked

Artificial 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 Defined

Security Awareness & Training (SAT) 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 SAT 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 SAT domain capabilities are well-documented and kept current by process owners. ▪ A security awareness & training team, or similar function, is appropriately staffed and supported to implement and maintain SAT domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of security awareness and training management (e.g., Computer Based Learning (CBL) solutions). ▪ 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 SAT 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 ensure personnel and external stakeholders are provided with position-specific risk management training for AAT.

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.

Assessment Objectives

  1. SAT-05.3_A01 roles and responsibilities for role-based cybersecurity / data privacy training are defined for Artificial Intelligence (AI) and Autonomous Technologies (AAT) internal and external stakeholders.
  2. SAT-05.3_A02 the frequency at which to provide role-based cybersecurity / data privacy training to Artificial Intelligence (AI) and Autonomous Technologies (AAT) stakeholders after initial training is defined.
  3. SAT-05.3_A03 events that require role-based training content for Artificial Intelligence (AI) and Autonomous Technologies (AAT) to be updated are defined.
  4. SAT-05.3_A04 role-based cybersecurity / data privacy training is provided to personnel in organization-defined roles before authorizing access to Artificial Intelligence (AI) and Autonomous Technologies (AAT) or performing assigned duties.
  5. SAT-05.3_A05 role-based cybersecurity / data privacy training for Artificial Intelligence (AI) and Autonomous Technologies (AAT) is provided upon hire and per an organization-defined frequency thereafter.

Evidence Requirements

E-SAT-05 Role-Based Training

Documented evidence of specialized user training for privileged users, executives, individuals who handle sensitive/regulated data, etc.

Education

Technology Recommendations

Micro/Small

  • Employee AI awareness training (acceptable use, risks, bias awareness)
  • NIST AI RMF awareness resources (https://www.nist.gov/artificial-intelligence)
  • AI governance program

Small

  • AI training for relevant staff (developers, data scientists, decision-makers)
  • AI risk awareness training for all employees
  • AI governance program

Medium

  • Role-based AI training program (technical staff, managers, executives)
  • AI ethics and responsible AI training
  • NIST AI RMF implementation training
  • AI governance program

Large

  • Formal AI training curriculum by role (developers, operators, executives)
  • AI ethics, bias, and safety training
  • AI incident response training
  • Ongoing AI risk management education program

Enterprise

  • Enterprise AI learning and development program
  • CAIO-led AI training strategy
  • Mandatory AI risk training for all staff interacting with AI systems
  • AI safety and responsible AI certification programs
  • Continuous AI skills development with updated curriculum

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