Auditability, Fraud Detection and Analysis

This page explains implementing the use case of fraud detection & auditability using a combination of Finscale micro-services.

Summary: Every tech system leaves a trail. In Finscale implementation too, you have the power to exploit the auditability and stop fraud before it even takes place.

Auditability:

Audit and assess ongoing predictions & analytics in the credit services with Finscale

Presentation layer for accessing the Risk Analytics across the loan lifecycle events for a uniquely flagged loan application

Presentation layer for accessing the Risk Analytics across the loan lifecycle events for a bulk auto approved loan application

Presentation layer for accessing the Risk Analytics across the loan lifecycle events for a bulk auto rejected loan application

Fraud Detection and Analysis:

Audit and assess ongoing Analytics Service manual entries with a time stamp and event oriented

Ability to access, tamper proof audit logs for each system entries manually originated such as manual approval of flagged loan applications

Audit transactions to identify fraud risk in credit application memo generation process, monitor suspicious decisioning behavior, false positives like money laundering

Early warning system:

Early Warning provides info about consumers' activity and recent history to help FI's detect and tackle fraud, assess risk on consumer based triggers

Ability to provide early warning that provides info on internalized user to help FI's detect employee fraud and assess risk