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Technical Assessments

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Technical Assessments

AI Governance

Information Governance

Classifying, protecting, securing and managing data throughout its life cycle.

  • Ensuring that AI only has access to relevant and correctly permissioned information
  • Securing the organization’s sensitive information
  • Attempting to comply with relevant AI regulations, such as the EU AI Act

Policy governance

Operational governance 

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Governance Activities

AI visibility & traceability

Continuous assurances & evaluation

Workflow (internal & third party)

Catalog: Discovery, inventory and risk scoring of all AI used in organization.

Automated (partly) documentation: Bill of materials, model cards, artifacts, regulatory reports, explainability.

Audit trails: Audits of all state changes to AI artifacts

Maps: Maps of AI integration with human and other system processes and their configurations; complete life cycle

Ownership: Owner of artifacts and lineage

Data: Mapping of data to AI usage, lineage

Risks, regulations and controls: Validations, risk assessments, content libraries, reports

Workflow (internal & third party)

Continuous assurances & evaluation

Workflow (internal & third party)

Approvals of new AI; exceptions


Attestations of use


Communications with third-party providers:

  • RFI
  • Responses
  • Compliance
  • Controls

Continuous assurances & evaluation

Continuous assurances & evaluation

Continuous assurances & evaluation

AI security testing: Red teaming and scanning for all entities (models, applications, agents)


Risk and trust control validation:

  • Bias
  • Leakage
  • Trust
  • Use-case alignment


Posture management


Compliance reporting

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