Teknosys learning library

16. Put guardrails around every model release

• Before training: verify data permissions, remove secrets, document provenance, and define acceptable-use policies.
• Before release: test harmful-request handling, privacy leakage, bias, hallucination, and prompt-injection resistance.
• At the gateway: authenticate callers, enforce quotas, validate payloads, and screen inputs/outputs under a documented policy.
• For tools: enforce authorization outside the model, use least privilege, validate arguments, and require approval for sensitive actions.
• In operation: monitor failures with privacy-aware logs, version models, and retain rollback and incident-response procedures.

Make this a release gate for each new checkpoint, adapter, or quantized variant. System prompts and safety fine-tuning are useful layers, not a guarantee. A model must never decide its own access permissions, and retrieved documents must remain untrusted data.

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