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SIDE-C

Financial Document Processing and Analysis Automation

It is an application that enables the detection of fraud cases in channel transactions using artificial intelligence methods by learning the habits and behaviors in alternative distribution channel transactions used in banking transactions.

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Problems

Fraud detection with rule-based and ready-made systems

Fraud prevention mechanisms running on human-dependent rules and cumbersome systems.

Alternative to high cost systems

Global products priced based on exchange rates having high costs.

Continuously evolving fraud methods

Different fraud methods emerging due to advancing technologies.

Variety of regional fraud methods

Sophisticated fraud methods gradually becoming more complex.

Solution

Automatization

Fast adaptation to continuously evolving fraud methods.

Real-time and Fast Detection Notification

Eliminating dependence on static rule-based structures

Artificial Intelligence Models

Fraud detection by customer habits and behaviors.

Automatization

Fast adaptation to continuously evolving fraud methods.

Eliminating dependence on static rule-based structures

Real-time and Fast Detection Notification

Artificial Intelligence Models

Fraud detection by customer habits and behaviors.

SIDE-C
Advantages

Dynamic Artificial Intelligence Support

It gives scores to all channel transactions with dynamic artificial intelligence models that continuously learn and train themselves, and detects fraud attempts with high accuracy.

Real-time Protection

It detects suspicious activities within milliseconds by instantaneously analyzing channel transactions and enables quick intervention before fraud takes place.

Fast Fraud Detection

It prevents potential losses by instantly detecting activities suspected of fraud through real-time analysis of transactions.

Behavioral Customer Analysis

It provides in-depth and customized analysis using machine learning models focused on customer habits and behavior patterns.
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