Model Versioning & Release Controls — Evaluation & Documentation

Model Versioning & Release Controls — Evaluation & Documentation

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

Model Versioning & Release Controls

EU AI Act Compliance Evaluation & Documentation EU/UK aligned
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Key takeaways
  • Every model release must be reproducible, auditable, and reversible.

Versioning scheme

  • Semantic versioning MAJOR.MINOR.PATCH; tie to dataset/index versions and guardrail configs.

Artifacts & lineage

  • Store model binaries, prompts, guardrails, retrieval index, configs, and checksums; immutable manifests.

Environments & gates

  • Dev→Test→Staging→Prod with CI/CD gates: unit tests, eval suite pass, security scan, sign-offs.

Change controls

  • Change tickets; risk assessment; waiver policy; SoD between author, reviewer, and releaser.

Rollouts & rollback

  • Canary and percentage rollouts; real-time metrics; auto-rollback on threshold breach; blue/green indices.

Secrets & keys

  • Short-lived tokens; rotation on release; environment-scoped credentials; no secrets in prompts.
  • Release notes; model card; eval report; risk register deltas; operator instructions; rollback runbook.

PMM thresholds

  • Define KPI deltas allowed; alert routes; freeze on repeated alerts; board visibility for major regressions.

Incidents & CAPA

  • Auto-bundle release context; RCA; CAPA actions; learning fed to templates and guardrails.

Retirement & EoL

  • Rule to deprecate models; user migration; data deletion; vaulting of artifacts; compliance archive.

Access & SoD

  • Role-based access; emergency access with logging; periodic access review; approvals in-tool.

Release checklist

  • Artifacts stored; evals passed; approvals signed; rollout plan set; metrics & rollback ready.

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

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