О Anti-Fraud Система

Наша миссия

The Anti-Fraud System is an intelligent platform designed to protect financial institutions from fraudulent transactions using a hybrid approach that combines machine learning algorithms with expert-defined business rules.

Our system processes every transaction in real-time, analyzing multiple risk factors to calculate a comprehensive fraud risk score. This enables automated decision-making for low-risk transactions while escalating suspicious activity for human review.

We believe in transparent AI. Every decision made by our system comes with a full explanation of the contributing factors, powered by SHAP (SHapley Additive exPlanations) technology.

Ключевые возможности

  • Machine Learning Models
    Trained on transaction patterns for fraud detection
  • Configurable Business Rules
    Customizable rules for specific fraud scenarios
  • Real-time Dashboard
    Live monitoring of all transactions and alerts
  • Explainable AI (XAI)
    SHAP-based explanations for every decision
  • Manual Review Queue
    Dedicated interface for suspicious transaction review
  • PDF Report Export
    Generate detailed reports for compliance and audit
Технологии
Создано с использованием современных технологий
Django

Python web framework for robust backend

scikit-learn

ML library for fraud detection models

SHAP

Explainable AI for transparent decisions

PostgreSQL

Reliable database for transaction storage

Access
Роли пользователей
Ролевой контроль доступа для разных пользователей платформы.
Administrator

Full system access. Manages users, configures rules, adjusts thresholds, and monitors overall system health.

Employee

Reviews suspicious transactions, approves or rejects flagged activity, views AI explanations, and exports reports.

Client

Bank customer interface. Can view account balance, make transfers, and see transaction history with status.