

Card Fraud Solution
With the extensive use of e-commerce, card fraud has become a major issue that every bank, payment processing platform or web-shop site is facing.
Three Main Pillars of Card Solution
Inteligent Decision Engine
Utilizes advanced algorithms, artificial intelligence (AI), and data analytics to make informed decisions . It is designed to process and analyze large volumes of data quickly, allowing it to derive meaningful insights and make decisions based on predefined rules, learning from patterns, or a combination of both.
Machine Learning
Incorporate machine learning algorithms and predictive analytics. This enables the system to learn from historical data, adapt to changing patterns, and make predictions about future events or outcomes. This aspect is particularly useful in scenarios where decision-making involves a level of uncertainty.
API's orchestration
Combining rules engines with API orchestration allows for real-time decision-making processes. In the context of fraud prevention, quick and accurate assessments of payment transactions are essential to identify and prevent fraudulent activities promptly as fraud patterns and tactics are constantly evolving.
Card Fraud: Dive into Our Latest Blog Collection

The Rise of Intelligent Bots powered by GAI: A Shift from Case Management Tools

Navigating the Complexity: Challenges in Integrating Rules Engines with API Orchestration

What is a difference between payment routing and payment fraud detection?


Panel Discussion: Minimizing Fraud Risk In Financial Transactions With Hyperautomation

Understanding the Threat of Card Transaction Fraud

Advanced Data Analysis