Problem Summary
Retailers face escalating ATO threats driven by credential stuffing, bots, and stolen login data. Once an account is compromised, attackers exploit stored cards, loyalty balances, and saved addresses—leading to costly chargebacks and CX damage.
How Verafye Solves It
Verafye compares real user interaction patterns with session-level behavioral signatures to detect anomalies such as robotic cursor movement, inconsistent typing cadence, and device mismatches. Suspicious sessions are isolated instantly before checkout or profile changes occur.
Key Capabilities Used
- Session behavior modeling
- Interaction-level anomaly scoring
- Device-to-account consistency checks
- Bot pattern detection
- Micro-event behavioral deviation analysis
Business Impact
- Reduced loyalty point theft and unauthorized purchases
- Higher account security without adding friction
- Stronger protection for stored-payment environments
- Lower fraud remediation and dispute management effort
- Increased customer confidence in digital shopping