What it is
Fraudulent refunds, discount abuse and coordinated buying behavior hide inside millions of routine transactions. Linkube runs statistical and ML detectors over the event stream — pseudonymized identifiers, anonymized demographic and technical attributes, no direct PII — and flags the sessions and accounts that deviate from established baselines. Risk and loss-prevention teams get ranked alerts with the evidence attached, so investigators start from the strongest cases instead of raw logs.
What you get
- Ranked alerts instead of undifferentiated exception reports
- Detects slow-building patterns single-event rules miss
- Baselines that adapt as behavior shifts
- Privacy-by-design: pseudonymized identifiers, no direct PII
How it works
- 01
Stream pseudonymized transaction, return and account events into the risk layer
- 02
Score each event against behavioral baselines and known abuse patterns
- 03
Send prioritized alerts to investigator queues and measure confirmed-case rates
Works well with
Ready to see Linkube on your data?
Book a working session with our team and we’ll map Linkube to your planning and risk workflows.