Credit Card Fraud Detection

Eliminate the burden of manual fraud investigation and also reduce losses from fraudulent transactions with accurate fraud detection system

This turnkey enterprise AI solution is built to fight the increasing nuance and sophistication of fraud and protect the financial institutions and their customers. This solution is capable of detecting even the most complex and subtle forms of fraud by analyzing various factors such as transaction location, time, amount, and merchant type. Schedule a call with our in-house experts to learn more about how you can fight fraud.

Key Metrics

Increase in Fraud Detection by


Decrease in Loss due to Fraud by


Credit card fraud is a major concern for financial institutions, as it can lead to significant financial losses. To mitigate this risk, many institutions are turning to machine learning solutions to analyze historical transaction data and identify patterns that may indicate fraudulent activity.


These solutions take into account a variety of factors such as transaction location, time, amount, and merchant type to create a risk score for each transaction. By analyzing this data, the solution can identify potential red flags such as transactions that deviate from a customer's usual spending patterns, or transactions that occur at unusual times or in unfamiliar locations. Additionally, by incorporating external data sources such as IP address and device information, the solution can also identify patterns of behavior that may indicate fraud, such as the use of multiple devices or IP addresses associated with known fraudulent activity.


Implementing this solution allows financial institutions to identify fraudulent activity early and take appropriate action to prevent losses. This can include flagging suspicious transactions for manual review, blocking transactions from high-risk locations or merchants, or denying transactions that deviate from a customer's usual spending patterns. By proactively identifying and addressing potential fraud, financial institutions can reduce their exposure to credit card fraud and improve their overall portfolio performance. Additionally, this solution can also be used for the customer profiling, which can help the institutions to identify the customers' behavior, and take the appropriate measures to prevent the fraud.


  • Collect and analyze credit card transaction data including transaction patterns, cardholder demographics, and merchant information.
  • Use advanced machine learning algorithms to build and train a fraud detection model using historical transaction data.
  • Continuously update the model with real-time transaction data and external data sources such as IP address and device information.
  • Automate the fraud detection process using the AI model to identify fraudulent transactions early in the transaction processing cycle.
  • Monitor and evaluate the performance of the AI model to measure its impact on fraud detection rate, financial loss, and fraud prevention.
  • Continuously fine-tune the model and update it with new data to improve its accuracy and detect new types of fraud.

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* Values are approximates arrived at based on earlier experience and/or existing literature. Contact us to find out how you can measure the ROI on this solution for your business