Operationalizing guardrails after launch

Guardrails rarely fail in staging - they fail when the model meets real-world prompts, strange files, and power users. We keep guardrails alive by treating them like product features, not one-time checklists.

Map the risky behaviors to signals

We list risky behaviors in plain language - PII leaks, off-policy actions, hallucinated citations - and assign signals we can actually measure. Examples:

• PII leaks → detector confidence, number of redactions, destination system.
• Off-policy actions → allowlist match rate, audit log diff from baseline workflows.
• Hallucinated citations → citation coverage %, unresolved source links per answer.

Each signal gets a threshold and an owner. If a signal cannot be measured, we redesign the workflow until it can.

Build a small review lane instead of blocking

Pure blocking leads to brittle experiences. We route uncertain events to a review lane:

Copy
export const reviewLane = {
  pii: { threshold: 0.65, reviewers: ['security'], action: 'auto-redact' },
  citations: { threshold: