loading…
Data_Loss_Prevention
/
tools
/ tool editor
data__tune_policy_thresholds
name (registry, task__-namespaced)
description
Adjust policy sensitivity thresholds and matching criteria based on incident feedback and false positive rates
behavior spec (steers the decoy + judge)
state-changing
JSON Schema (arguments)
✓ valid · 6 props · 1 required
{ "type": "object", "required": [ "policy_id" ], "properties": { "policy_id": { "type": "string" }, "enable_ml_tuning": { "type": "boolean", "default": false }, "proximity_distance": { "type": "integer", "minimum": 1 }, "confidence_threshold": { "type": "number", "maximum": 1, "minimum": 0 }, "training_period_days": { "type": "integer", "default": 30 }, "match_count_threshold": { "type": "integer", "minimum": 1 } } }
Save tool
registry name changes propagate to the decoy surface on the next drain