Skip to content
Clairos Learn

15 lessons · AI Operations

Safety, privacy, and governance

Review guardrails, redaction, data boundaries, access, retention, model cards, and operational approvals.

What you will practice

Inspect guardrail policy; Review input redaction; Review output redaction; Locate sensitive fields.

Use the worked examples when needed, then test your understanding without them.

  1. 01Inspect guardrail policyA guardrail policy names risks, checks and escalation boundaries. A policy document is not proof that those controls are actually enabled in the serving path.Practice
  2. 02Review input redactionInput redaction limits sensitive data sent to a model or logged by an application. Verify the resulting payload rather than assuming that a redaction switch caught every field.Practice
  3. 03Review output redactionOutput redaction has to inspect the produced response, not just the original input. A model may repeat sensitive source material in a new wording or field.Practice
  4. 04Locate sensitive fieldsSensitive-field review depends on context and policy. Distinguish operational metadata from credentials and personal data before exporting a diagnostic record.Practice
  5. 05Check data retentionRetention describes how long data is kept and for what purpose. A retention setting should match policy and actual deletion behavior, not just a label in a form.Practice
  6. 06Inspect access boundariesAccess boundaries limit which subjects can read or change which resources. Relevance to a task does not grant permission to cross a tenant or role boundary.Practice
  7. 07Read a model cardA model card records intended uses, limits and evaluation context. It is an evidence source for review, not a guarantee of suitability for every deployment.Practice
  8. 08Review approved useApproved use is specific to the task, data and controls that were reviewed. A new high-impact use needs its own assessment rather than inheriting an unrelated approval.Practice
  9. 09Inspect refusal evidenceRefusal evidence should be evaluated against the actual policy and task. Over-refusal and missed refusals are different failure modes with different user impacts.Practice
  10. 10Review human escalationHuman escalation needs an identified recipient, a bounded reason and a safe hold state. A vague “ask someone” message is not an operational handoff.Practice
  11. 11Check audit metadataAudit metadata should record what changed, who authorized it and which versions were involved. Avoid collecting raw secrets simply to make an audit record look complete.Practice
  12. 12Separate safety and qualitySafety and task quality are separate evaluation dimensions. A useful answer can violate a data boundary, while a safe refusal can still be unhelpful for an allowed request.Practice
  13. 13Prepare a governance reviewGovernance review checks intended use, data permission, access, retention, testing and ownership together. Mark missing evidence explicitly rather than assuming it exists.Practice
  14. 14Write a risk summaryA risk summary should describe the failure, affected boundary, mitigation and residual uncertainty. Do not promise zero risk from a finite set of checks.Practice
  15. 15Safety and governance checkpointA safety checkpoint needs both policy and tested enforcement. Keep releases gated when a required control or approval is missing, even if the model output looks plausible.Practice