AI · 05 — Guardrail (PII redaction)
Deterministic safety — no model needed. The Guardrail scrubs emails, phone numbers and card numbers from text before it reaches an AI (or a log). The Console shows before vs after.
What’s inside
4 nodes — every type links to its full reference page.
| Step | Node | Type |
|---|---|---|
| Risky text | Inject | input.inject |
| Keep original | Edit Fields (Set) | processing.set |
| Redact PII | Guardrail | processing.guardrail |
| Before / after | Console | utility.console |
Import it
- Studio → Import — paste the JSON below (or the URL
/docs/templates/ai-05-guardrail-pii-redaction.json). - Or ask the AI Copilot with the JSON pasted after the phrase:
import this workflow json into a new workflow named "AI · 05 — Guardrail (PII redaction)" - Any credentials the nodes need are
${credential.…}references — add them once in Admin → Credentials and the template picks them up. Nothing secret ships in a template.
The workflow document (flowdrome.workflow.v1, 4 node types)
{
"schemaVersion": "flowdrome.workflow.v1",
"id": "",
"name": "AI · 05 — Guardrail (PII redaction)",
"version": "0",
"status": "draft",
"nodes": [
{
"id": "seed",
"type": "input.inject",
"label": "Risky text",
"category": "trigger",
"config": {
"contentType": "application/json",
"payload": {
"text": "Refund ada@example.com (call 555-0142) on card 4111 1111 1111 1111 please."
}
},
"position": {
"x": 0,
"y": 23
}
},
{
"id": "keep",
"type": "processing.set",
"label": "Keep original",
"category": "processing",
"config": {
"mode": "manual",
"assignments": [
{
"name": "original",
"type": "string",
"value": "{{ $json.text }}"
}
],
"include": "all",
"dotNotation": true,
"ignoreConversionErrors": false
},
"position": {
"x": 530,
"y": 23
}
},
{
"id": "guard",
"type": "processing.guardrail",
"label": "Redact PII",
"category": "ai",
"config": {
"checks": [
"pii"
],
"mode": "redact",
"piiTypes": [
"email",
"phone",
"creditcard"
],
"textField": "text",
"blocklist": [],
"outputField": "text"
},
"position": {
"x": 1060,
"y": 23
}
},
{
"id": "out",
"type": "utility.console",
"label": "Before / after",
"category": "utility",
"config": {
"message": "BEFORE: {{ $json.original }}\nAFTER: {{ $json.text }}"
},
"position": {
"x": 1590,
"y": 0
}
}
],
"edges": [
{
"id": "e0",
"sourceNodeId": "seed",
"sourcePort": "output",
"targetNodeId": "keep",
"targetPort": "input"
},
{
"id": "e1",
"sourceNodeId": "keep",
"sourcePort": "output",
"targetNodeId": "guard",
"targetPort": "input"
},
{
"id": "e2",
"sourceNodeId": "guard",
"sourcePort": "output",
"targetNodeId": "out",
"targetPort": "input"
}
],
"triggers": [
{
"id": "t0",
"nodeId": "seed"
}
],
"meta": {
"snippets": [],
"source": "template-gallery",
"description": "Deterministic safety — no model needed. The Guardrail scrubs emails, phone numbers and card numbers from text before it reaches an AI (or a log). The Console shows before vs after."
}
} Generated from the verified demo corpus — this exact document seeds and runs on a fresh Flowdrome. Raw JSON: ai-05-guardrail-pii-redaction.json.