Vendor Due Diligence & Contracts — Foundations

Vendor Due Diligence & Contracts — Foundations

Zen AI Governance — Knowledge Base EU/UK alignment Updated 05 Nov 2025 www.zenaigovernance.com ↗

Vendor Due Diligence & Contracts

EU AI Act Compliance Foundations EU/UK aligned
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Key takeaways
  • Contract terms must reflect real operational controls; require evidence rights and incident SLAs.
  • Treat models and datasets as critical suppliers with security & safety attestations.

Overview & risk tiers

  • Tier vendors by impact: Critical (model providers, data brokers), High (hosting, analytics), Standard (tools).
  • Map each vendor to AI Act roles (Provider/Deployer/Importer/Distributor) and GDPR roles (Controller/Processor).

Due diligence questionnaire (DDQ)

  • Model safety (evals, guardrails, jailbreak resistance), data governance, privacy engineering, logging/export.
  • Change management, incident history, third-party audits, secure SDLC, content moderation pipeline.

Evidence & attestations

  • Model cards, security whitepapers, SOC2/ISO certs, DPAs, bias & robustness reports, residual risk statements.
  • Right to review redacted evals; sandbox access for validation; named technical contacts.

Security & privacy clauses

  • Breach notification windows; encryption standards; secret management; logging & retention; DSR support.
  • Prohibit training on your data without explicit consent; require pseudonymisation where feasible.

AI-specific clauses

  • Use constraints; safety guardrail minimums; provenance/watermarking; clarity on synthetic data and waivers.

SLAs & incident response

  • Availability & latency; safety incident SLAs; emergency kill-switch; regulator communication support.

IP & licensing

  • Ownership of outputs; indemnities for infringement; training data licences; open-source component usage.

Data rights & retention

  • Data residency; backups; deletion SLAs; post-termination data return/extract; audit logs availability.

Audit & oversight

  • Right to audit or independent assurance; sampling rights; evidence snapshots per release.

Subprocessors & flow-downs

  • Approve subprocessors; require equivalent protections; notify on changes; maintain an up-to-date list.

Exit & reversibility

  • Plan data/package exports; transition assistance; escrow for critical artifacts; staged cutover runbook.

Checklist & red flags

  • No model safety evidence; train-on-your-data by default; weak incident SLAs; no audit rights; opaque subprocessors.

© Zen AI Governance UK Ltd • Regulatory Knowledge • v1 05 Nov 2025 • This page is general guidance, not legal advice.

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