Create AI DLP Preset
Endpoint
POST /apiops/settings/ai-dlp-presets/{presetName}/
Authentication
Requires a Personal API Access Token with admin privileges.
Header
Authorization: Bearer YOUR_TOKEN
Request
Headers
| Header | Value | Required |
|---|---|---|
| Authorization | Bearer {token} | Yes |
| Content-Type | application/json | Yes |
Path Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| presetName | string | Yes | Name of the DLP preset. Must match the name in the body (case-insensitive); if name is omitted from the body it defaults to this value. |
Query Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| projectId | string | No | admin | Scope project id. Omit for the admin/global scope. |
Request Body
Full JSON Body Example
{
"name": "internal-api-token",
"ruleValue": "ITK-[0-9]{10}",
"action": "MASK",
"category": "internal",
"description": "Internal service API token",
"enabled": true
}
Request Body Fields
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
| name | string | No | path value | Preset name. Must equal presetName (case-insensitive); defaults to the path value when omitted. |
| ruleValue | string | Yes | - | Java regex pattern used to detect the secret/credential. Must compile — an invalid regex is rejected. |
| action | string | Yes | - | Action applied on match: BLOCK, FLAG, or MASK. DLP is the only preset family where all three are valid. |
| category | string | No | - | Optional category label (e.g. aws, openai, github, pem, slack, google, jwt, generic) |
| description | string | No | - | Optional description for UI display |
| enabled | boolean | No | - | Whether the preset is active |
Notes
- The request body must not be empty
namein the body must matchpresetNamein the path (case-insensitive)ruleValuemust be a valid Java regular expression; an uncompilable pattern is rejected before the preset is saved- The preset name must be unique within the caller's visible scope (built-in ∪ admin-shared ∪ this scope) — a collision is rejected
builtInis server-controlled and ignored on write — you cannot create a built-in preset via the APIidis server-controlled and ignored on write
Response
Success Response (200 OK)
{
"status": "SUCCESS",
"deploymentResult": {
"success": true
}
}
Response Fields
| Field | Type | Description |
|---|---|---|
| status | string | Response status: SUCCESS or FAILURE |
| deploymentResult | object | Deployment result summary |
| deploymentResult.success | boolean | true when the preset was saved successfully |
Error Response (400 Bad Request)
Returned on validation failure, name mismatch, an attempt to overwrite a built-in preset, or when the caller lacks the ADMIN role.
{
"status": "FAILURE",
"resultMessage": "AI DLP preset name in path (internal-api-token) does not match name in body (other-name)!"
}
Other possible messages:
{
"status": "FAILURE",
"resultMessage": "AI DLP preset body can not be empty!"
}
{
"status": "FAILURE",
"resultMessage": "Built-in presets are read-only"
}
{
"status": "FAILURE",
"resultMessage": "ruleValue is required"
}
{
"status": "FAILURE",
"resultMessage": "ruleValue is not a valid regular expression: Unclosed character class near index 5\n[0-9"
}
{
"status": "FAILURE",
"resultMessage": "A preset with this name already exists in the visible scope (built-in, admin-shared, or this project)"
}
Error Response (401 Unauthorized)
{
"status": "FAILURE",
"resultMessage": "Token is not valid!"
}
cURL Example
curl -X POST \
"https://demo.apinizer.com/apiops/settings/ai-dlp-presets/internal-api-token/" \
-H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"name": "internal-api-token",
"ruleValue": "ITK-[0-9]{10}",
"action": "MASK",
"category": "internal",
"description": "Internal service API token",
"enabled": true
}'
Notes and Warnings
- Admin Only:
- Only sysAdmin users (or users with the
ADMINrole) can create AI DLP presets - A project-scoped
AI_DEVELOPMENTtoken is not sufficient
- Only sysAdmin users (or users with the
- Upsert by Name:
- If a preset with the same name already exists in the scope, this call updates it
- Otherwise a new custom preset is created
- Built-in Presets Are Read-only:
- You cannot create or overwrite a built-in (seeded) preset; such attempts are rejected
- Regex Pattern:
ruleValueis a Java regex; remember to escape backslashes in JSON (e.g.\\bfor a word boundary)- An uncompilable pattern is rejected at save time, before it can be copied into a
PolicyAiDlpGuarddefinition list
- All Three Actions Valid:
- Unlike prompt-guard/privacy presets, DLP presets accept
BLOCK,FLAGandMASK—MASKis DLP's own domain (secret/credential redaction)
- Unlike prompt-guard/privacy presets, DLP presets accept
- Name Consistency:
- The
namein the body must matchpresetNamein the path (case-insensitive)
- The
- No Secret Fields:
ruleValueis a detection regex pattern, not a credential itself — DLP presets carry no secret (@SecretData) fields, so no values are masked
Related Documentation
- Update AI DLP Preset - Update an existing preset
- Delete AI DLP Preset - Delete a preset
- AI DLP Presets API - Resource overview