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.