Abstract
The present disclosure relates to a technique for preventing insider fraud using change-and-revert pattern detection in sensitive banking fields. The technique includes a monitoring framework configured to detect alterations to protected customer identity fields, such as mobile numbers and email addresses, recovery contact, card details, communication preference, or authentication identifiers. An audit trigger logs modification events, capturing details such as old and new values, timestamps, and user identifiers. A change data capture service continuously polls these logs to identify changes and activate cooling-off periods and transaction restrictions upon detection. The policy enforcement module invokes these restrictions, while the fraud pattern detection engine analyzes sequences of changes for potential manipulation patterns, including rapid changes and reverts. This comprehensive approach ensures proactive detection and prevention of insider fraud while maintaining robust security standards for customer identity fields.
Creative Commons License
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Recommended Citation
Roy, Alok, "SYSTEM AND METHOD FOR PREVENTING INSIDER FRAUD USING CHANGE-AND-REVERT PATTERN DETECTION IN SENSITIVE BANKING FIELDS", Technical Disclosure Commons, (February 02, 2026)
https://www.tdcommons.org/dpubs_series/9256