slug: amazon-fraud-detector
provider: Amazon Fraud Detector
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Banking & Capital Markets
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 2
edges:
- tag: Predictions
  spec_file: amazon-fraud-detector-predictions-api-openapi.yml
  capability_id: BC-1400.30
  capability_id_l1: BC-1400
  capability_name: Fraud Detection & Investigation Management
  confidence: 0.75
  evidence: POST /predictions/event/{eventId}  getEventPrediction  Get Event Prediction
  reason: Runtime scoring of an event for fraud risk — the actual fraud detection act, per vendor description
    'distinguish between legitimate and high-risk transactions'.
- tag: Detectors
  spec_file: amazon-fraud-detector-detectors-api-openapi.yml
  capability_id: BC-1400.30
  capability_id_l1: BC-1400
  capability_name: Fraud Detection & Investigation Management
  confidence: 0.7
  evidence: Amazon Fraud Detector is a fully managed service that uses machine learning to identify potentially
    fraudulent activities
  reason: Detectors are the configured fraud-detection logic units of a fraud detection service; maps
    to Fraud Detection & Investigation Management, though the surface is model/config management.