SIDE
Financial Document Processing and Analysis Automation
It is an application that enables the detection of credit card fraud cases using artificial intelligence methods by learning the habits and behaviors in credit card transactions at the Bank.
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Problems
Fraud detection with rule-based, ready-made and high systems
Fraud prevention mechanisms are mostly based on labor-intensive rules and cumbersome systems.
Monotony of rule-based systems
Rule-based systems cannot update themselves and generally adhere to fixed rules set by humans.
Solution
It detects complex and new fraud patterns with high accuracy thanks to algorithms that do not adhere to fixed rules and are constantly learning.
It eliminates cumbersome processes requiring manual review, enabling 24/7 uninterrupted and autonomous monitoring of high-volume transaction traffic.
It analyzes each customer's past spending routines and creates custom behavior models, instantly detecting non-standard suspicious activities.
It performs analysis within milliseconds as transactions take place, detects potential threats and enables immediate intervention before fraud occurs.
It detects complex and new fraud patterns with high accuracy thanks to algorithms that do not adhere to fixed rules and are constantly learning.
It analyzes each customer's past spending routines and creates custom behavior models, instantly detecting non-standard suspicious activities.
It eliminates cumbersome processes requiring manual review, enabling 24/7 uninterrupted and autonomous monitoring of high-volume transaction traffic.
It performs analysis within milliseconds as transactions take place, detects potential threats and enables immediate intervention before fraud occurs.
Model Capable of Fraud Detection
Fast Fraud Detection
