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AI Governance & Risk
AI Governance & Risk

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  1. G1 · Data and Model Boundaries
    1. Classifying Your Data
    2. The Model Allowlist
  2. G2 · Operational Controls
    1. Quota and Budget Control
    2. Retention: How Long Data Actually Lives
    3. The Incident Playbook
  3. G3 · Regulatory Mapping
    1. Check which AI rules may apply
  4. G4 · Data Processing and Provider Governance
    1. Decide where business data may be processed
    2. Manage provider access and audit evidence
AI Governance & Risk

Loading progress…

  1. G1 · Data and Model Boundaries
    1. Classifying Your Data
    2. The Model Allowlist
  2. G2 · Operational Controls
    1. Quota and Budget Control
    2. Retention: How Long Data Actually Lives
    3. The Incident Playbook
  3. G3 · Regulatory Mapping
    1. Check which AI rules may apply
  4. G4 · Data Processing and Provider Governance
    1. Decide where business data may be processed
    2. Manage provider access and audit evidence
AI Governance & Risk/Data Processing and Provider Governance
G4

Data Processing and Provider Governance

2 lessons · ~6 min

Estimated reading time.

Overview

Decide where business data may be processed, who manages provider access, and how to verify costs, revoked permissions and incident records.

  1. 1
    Decide where business data may be processed
    ~3 min
    Check purpose, access and destinations, including RAG, caches and failure paths.
  2. 2
    Manage provider access and audit evidence
    ~3 min
    Record credential ownership, cost controls, revocation tests and unresolved outcomes.
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