International Business Machines Corporation

Jeffery Crume

Youngja Park

Walid Rjaibi

Aankur Bhatia

Mechanisms are provided for automatically detecting data leakages and generating data leakage detection rules for a rules engine. The rules engine is configured with rules for identifying first sensitive data patterns in input data, and a large language model (LLM) is trained to identify second sensitive data patterns in input data. New input data is processed via the rules engine to determine whether it comprises any of the first sensitive data patterns. In response to the rules engine making a negative determination, the LLM is executed on the new input data to determine whether the new input data comprises any of the second sensitive data patterns. Responsive to a positive determination by the LLM, the rules engine is updated with a new rule based on the at least one second data pattern.

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Raleigh, NC, United States of America

Jeffery Crume