Operating GenAI safety and policy reviews
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GenAI systems drift as prompts, tools, and models change. Safety operations keep that drift controlled without slowing teams down.
Safety operations in practice
- Policy gates: review tool access, escalation paths, and refusal behaviors before launch.
- Change logs: track prompt, model, and tool revisions; pair every change with eval deltas.
- Consent-aware analytics: instrument only after consent; store minimal telemetry linked to evaluations.
Team rhythms
- Weekly triage of eval regressions and policy exceptions.
- Monthly red-team sprints focused on emergent risks (prompt injection, data leakage).
- Runbooks for rollback, throttling, and messaging when safety metrics breach thresholds.
Related reading
- Evaluation backbone: Evaluation blueprints for GenAI systems.
- Platform support: Platform guardrails that keep ML services shippable.
- Pillar hub: GenAI in production.
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