Vendor & Model Governance
Evaluate and monitor external AI providers, models and critical vendors across capability, security, privacy and commercial risk.
Control areas
Provider due diligence
Document the applicable requirement, accountable owner, evidence and review cadence.
Model capability and limitations
Document the applicable requirement, accountable owner, evidence and review cadence.
Privacy and security
Document the applicable requirement, accountable owner, evidence and review cadence.
Data use and retention
Document the applicable requirement, accountable owner, evidence and review cadence.
Service availability
Document the applicable requirement, accountable owner, evidence and review cadence.
Portability / lock-in
Document the applicable requirement, accountable owner, evidence and review cadence.
Commercial terms
Document the applicable requirement, accountable owner, evidence and review cadence.
Ongoing review
Document the applicable requirement, accountable owner, evidence and review cadence.
Evidence-first approach
Trust claims should be supported by actual controls, records, configuration, testing or contracts. DataLgorithmics does not present unverified certifications or compliance statuses as facts.