Fraud detection and user protection pipelines.
Overview
What is trust & safety?
Trust and safety data services cover fraud pattern labeling, policy violation detection and user-protection annotation: the training data behind the systems that keep platforms safe.
Fraud and abuse patterns evolve constantly. Platforms need continuously refreshed, precisely labeled data to keep detection models ahead of bad actors rather than always catching up.
Transaction and behavioral fraud signal annotation.
Violation detection mapped to your specific policy taxonomy.
An ongoing labeling cadence that tracks evolving abuse tactics.
Full documentation for regulatory and compliance review.
Workflow
How we do it
- 01Policy mapping
We study your trust and safety policies, fraud typologies and escalation frameworks.
- 02Team calibration
Specialists train on your policy taxonomy with calibration testing before production.
- 03Pattern labeling
Fraud signals, policy violations and abuse patterns labeled at scale.
- 04Continuous refresh
An ongoing labeling cadence keeps pace with evolving fraud and abuse tactics.
- 05Reporting
Weekly accuracy reports and emerging-pattern alerts delivered to your team.
Case study
Label transaction fraud patterns for a real-time detection model
Continuous labeling pipeline with weekly pattern-refresh cycles and analyst review.
Ready to get startedwith trust & safety?
Tell us about your project and we will scope a pilot within 48 hours.