Fraud Signal Health Check (Retention)

Fraud Signal Health Check (Retention)

1. 01

   Review historical false positive and false negative rates for the past 90 days

   Pull the client's fraud dashboard and compare flagged transactions against actual chargebacks and declined orders. A rising false positive rate may indicate signal drift.

2. 02

   Test the vendor's device fingerprinting accuracy against a sample of known-good and known-bad sessions

   Use a set of 50 recent sessions, including some from VPNs or incognito browsers, to see if the tool correctly identifies them. This validates whether the vendor's signals still hold up.

3. 03

   Compare current risk score distributions with the baseline from the last quarter

   If the average risk score has shifted significantly, the client's traffic mix may have changed, or the vendor's model may have been updated. Document any anomalies.

4. 04

   Check for any vendor model updates or signal changes in the last 30 days

   Review the vendor's changelog or release notes. A major update could alter scoring behavior and require recalibration of your client's thresholds.

5. 05

   Re-validate the client's risk thresholds against recent chargeback data

   If chargebacks have increased, the current thresholds may be too lenient. If good orders are being declined, they may be too strict. Adjust thresholds in consultation with the client.

6. 06

   Run a spoofing simulation to test resilience against sophisticated evasion techniques

   Use a controlled test with a few sessions that mimic device spoofing or bot behavior. This helps confirm the vendor's detection still works under adversarial conditions.

7. 07

   Document findings and recommend any threshold or workflow adjustments

   Prepare a short report for the client summarizing the health check results, including any recommended changes to fraud rules or review queues.