+AI & Autonomous Technologies Registration

AI & Autonomous Technologies Registration

Description

Mechanisms exist to maintain a current registration for Artificial Intelligence (AI) and Autonomous Technologies (AAT) with the appropriate governing body, as required by statutory or regulatory requirements.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Determine whether any AI use requires registration (e.g., EU AI Act high-risk systems)

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ Track AI registration obligations by jurisdiction in compliance checklist

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Register high-risk AI systems with relevant authorities as required

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ AI registration compliance program
∙ Track registration requirements by jurisdiction

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Enterprise AI regulatory compliance platform
∙ Automated registration tracking
∙ EU AI Act database registration compliance

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

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.
▪ AAT is regarded as a technology and governed by the entity's existing IT governance practices.
▪ No formal Governance, Risk & Compliance (GRC) team exists to provide oversight of AAT-related activities. GRC functions are assigned to existing IT and/or cybersecurity personnel.

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 maintain a current registration for AAT with the appropriate governing body, as required by statutory or regulatory requirements.

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.

1. Overzicht

Titel Standaard

1.1 Referenties

1.2 Geïdentificeerde eisen

1.3 Gerelateerde regelingen

2. Geïdentificeerde eisen

Eisen
Bron Eis

3. Gerelateerde regelingen

Regelingen
Bron Regelgeving
EULAW Artikel 16 Verplichtingen van aanbieders van AI-systemen met een hoog risico

Artikel 16

Verplichtingen van aanbieders van AI-systemen met een hoog risico

Aanbieders van AI-systemen met een hoog risico:

a) 

zorgen ervoor dat hun AI-systemen met een hoog risico in overeenstemming zijn met de eisen van afdeling 2;

b) 

vermelden op het AI-systeem met een hoog risico of, wanneer dit niet mogelijk is, op de verpakking of in de bij het product gevoegde documentatie, naargelang het geval, hun naam, geregistreerde handelsnaam of geregistreerd merk en hun contactadres;

c) 

beschikken over een systeem voor kwaliteitsbeheer dat in overeenstemming is met artikel 17;

d) 

bewaren de in artikel 18 bedoelde documentatie;

e) 

bewaren de in artikel 19 bedoelde logs die automatisch door hun AI-systemen met een hoog risico zijn gegenereerd, wanneer zij hierover de controle hebben;

f) 

zorgen ervoor dat voor het AI-systeem met een hoog risico de desbetreffende in artikel 43 bedoelde conformiteitsbeoordelingsprocedure wordt uitgevoerd voordat dit systeem in de handel wordt gebracht of in gebruik wordt gesteld;

g) 

stellen een EU-conformiteitsverklaring op, in overeenstemming met artikel 47;

h) 

brengen de CE-markering aan op het AI-systeem met een hoog risico of, wanneer dit niet mogelijk is, op de verpakking of in de bij het product gevoegde documentatie, om aan te geven dat aan deze verordening is voldaan, overeenkomstig artikel 48;

i) 

leven de registratieverplichtingen als bedoeld in artikel 49, lid 1, na;

j) 

nemen de noodzakelijke corrigerende maatregelen en verstrekken de uit hoofde van artikel 20 vereiste informatie;

k) 

tonen op een met redenen omkleed verzoek van een nationale bevoegde autoriteit de overeenstemming aan van het AI-systeem met een hoog risico met de eisen van afdeling 2;

l) 

zorgen ervoor dat het AI-systeem met een hoog risico voldoet aan de toegankelijkheidseisen overeenkomstig de Richtlijnen (EU) 2016/2102 en (EU) 2019/882.

EULAW Artikel 22 Gemachtigden van aanbieders van AI-systemen met een hoog risico
-
EULAW Artikel 26 Verplichtingen van gebruiksverantwoordelijken van AI-systemen met een hoog risico
-
EULAW Artikel 49 Registratie
-
EULAW Artikel 49 Registratie
-
EULAW Artikel 49 Registratie
-
EULAW Artikel 52 Procedure
-
EULAW Artikel 52 Procedure
-

Gekoppelde issues

Koppelingen
Koppelingstype Issue
is related to Semi-Annual
is related to relative Control Weighting = 04
is related to Process
is related to Protect
is related to SCRM Focus Tier 2 OPERATIONAL
is related to SCRM Focus Tier 3 TACTICAL
blocks Revenue Loss
blocks Contractual Default / Termination
blocks Reputational Harm / Loss of Stakeholder Trust
blocks Regulatory / Legal / Contractual Financial Liability
blocks Failure to Achieve Strategic / Mission Objectives
blocks Loss of Authorization / Certification / License
blocks Failure to Support Business / Mission Objectives
blocks Unaddressed Security / Compliance Exposure
blocks Unperformed / Unowned Control Responsibilities
blocks Inability to Demonstrate Due Diligence / Due Care
blocks Unreliable Assurance / Decision Information
blocks Sensitive Data / Compliance Exposure from Unsanctioned AI Use
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 Dysfunctional Management Practices
blocks Human Error
blocks Statutory / Regulatory / Contractual Change
blocks Data Quality Degradation / Data Poisoning
blocks Fraud, Corruption and/or Intentional Criminal Conduct
blocks Conflict of Interest (COI) / Undue Influence / Insider Misconduct
blocks Geopolitical Conflict / Government Intervention
blocks Workforce Shortage / Loss of Critical Skills / Labor Disruption
is blocked by CPL-28 AI & Autonomous Technologies Registration – Assessment Procedure
  • Secure Controls Framework -

    The Secure Controls Framework® (SCF)

    "The SCF is the Common Controls Framework™ (CCF), the world's most comprehensive cybersecurity and data privacy metaframework - it is also free to use. The entire concept is building secure, compliant and resilient capabilities in the most efficient and cost-effective manner possible.

    The SCF is more than just a unified control catalog, since its included content creates a playbook for Governance, Risk & Compliance (GRC) capabilities. Used globally by organizations of every size, the SCF is a robust and scalable solution for security, compliance and resilience controls. As a comprehensive security framework, the SCF maps 1,400+ controls across 200+ laws, regulations, and industry frameworks so you can implement once and comply everywhere.

    Like it or not, cybersecurity is a protracted war on an asymmetric battlefield, where the threats are everywhere and as defenders we have to make the effort to work together to help improve cybersecurity and data privacy practices, since we all suffer when massive data breaches occur or when cyber attacks have physical impacts. Hackers share information on attack methods with other hackers, so why shouldn’t the good guys share information on how to best protect an organization? We decided to take action and make a difference, since we feel it is too important to wait for someone else to fix the problems that exist.

    The SCF is made up of volunteers, mainly specialists within the cybersecurity profession, who focus on GRC and the cybersecurity side of data privacy. These are auditors, engineers, architects, incident responders, consultants and other specialists who live and breathe these topics on a daily basis. The end product is "expert-derived content" that makes up the SCF." https://securecontrolsframework.com/ 

    Terms & Conditions

    The SCF End User License Agreement (EULA) governs the use of the Secure Controls Framework® (SCF) under the Creative Commons Attribution-No Derivatives 4.0 International Public License.