Artificial Intelligence & Machine Learning Company

Simulation of Intelligent Behavior in Computers

Fraud Detection

Machine Learning

As a top-down approach create a profile that includes a list of various areas of possible fraud occurrences and their probable fraud types from the quantitative data.

Risk Measurement

Quantify the risk of fraud and deal with the high priorities by monitoring the ones crossing the statistical parameters.

Ad-hoc Testing

Perform ad-hoc testing and identify indicators of fraud and establish a good risk-assessment system.

Pattern Investigation

Investigate patterns and indicators that emerge in the process.

Report and Fix

Event-driven notifications to the management immediately with the mishappening activity monitoring and alerts and fix any broken controls immediately.

Build the model and Repeat

Quantify the impacts on customizable dashboards and build a cost-effective program with immediate returns - Implemented in Financial Institutions.

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