Artificial intelligence system for anomaly detection in transaction data sets

US12124933B2 · kind B2 · utility

Assignee

• Actimize Ltd. · IL

Inventors

• Amir Shachar · Netanya, IL
• Einat Neumann Ben Ari · Hod HaSharon, IL
• Danny BUTVINIK · Haifa, IL
• Yoav Avneon · Nes Ziona, IL
• Gabrielle Zaghdoun Azoulay · Bat Yam, IL
• Liat Elboim · Rishon LeZion, IL

Key dates

• Filing date: May 4, 2020
• Grant date: Oct 22, 2024
• Expiry date: May 6, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F21/60
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

An artificial intelligence system configured to detect anomalies in transaction data sets. The system includes a processor and a computer readable medium operably coupled thereto, the computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, to perform modeling operations which include receiving a first data set for training a first machine learning model to detect anomalies in the transaction data sets using a machine learning technique, accessing at least one micro-model trained using at least one second data set separate from the first data set, determining risk scores from the first data set using the at least one micro-model, enriching the first data set with the risk scores, and determining the first machine learning model for the enriched first data set using the machine learning technique.