Real-Time Data Revolution
Check How Bank Millennium Transformed Customer Engagement and Fraud Prevention
Fraud Detection
Real-Time AI Solutions to Combat Fraud Effectively, Enhancing Security and Compliance.
Protect your business from evolving threats with real-time, AI-driven fraud detection. Xebia’s solution analyzes transactions at scale to swiftly identify anomalies, reduce false positives, and ensure compliance. Built for adaptability and continuous learning, it safeguards customer trust while boosting operational efficiency, keeping you one step ahead of modern fraud tactics.
In today's digital landscape, fraudsters employ sophisticated methods to exploit system vulnerabilities. Traditional rule-based systems often fall short in detecting complex fraudulent patterns. Our AI-driven fraud detection solutions utilize machine learning algorithms to analyze vast amounts of data in real-time, identifying anomalies and potential threats swiftly. By integrating cloud technologies, our solutions are scalable and adaptable, ensuring optimal performance during peak transaction periods. With a focus on continuous learning, our systems evolve to counter emerging fraud tactics, providing robust protection for your business and customers.
Our Approach
Identify
Perform an EDA to explore key risk factors describing fraud entities/processes.
1
Refine
Iterate over dubious cases to adopt the model and reduce the false positives ratio. Try to minimize the risk of classifying legitimate entities/processes as fraud.
2
Implement
Based on the results of steps 1-2, implement a solution to work in a continuous/streaming mode allowing on promotive identification of fraud actors and taking remedies actions against them. As a part of the solution, a proper feedback loop needs to be delivered and included so that the false classifications are feeded to the model in order to improve its quality.
3
Key Benefits
Real-Time Detection
Identify and respond to fraudulent activities as they occur, minimizing potential losses.
Reduced False Positives
Improve accuracy in fraud detection, reducing unnecessary alerts and operational disruptions.
Compliance Assurance
Ensure adherence to regulatory standards through comprehensive monitoring and reporting.
Customer Trust
Enhance customer confidence by safeguarding their transactions and personal information.
Related Services
Our Ideas
Insights & Perspectives
How to Better Detect Frauds with The Cloud and ML Ops
The 2019 Global Banking Fraud Survey by KPMG found that over 60% of respondents have experienced an increase in fraud volume globally, with online fraud being the most significant challenge.
Read the Article
How Data & AI are Transforming the Future of Banking
Banks need to strategize their focus area and identify where data & AI can have the greatest impact.
Read the Article
Real-time Machine Learning: considerations based on Fraud Detection use case
To understand why real-time machine learning is important, it's helpful to first understand the different paradigms of deployment for machine learning solutions.
Read BlogContact
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