It is an unknown, unpredictable loss and thwarting it isn’t easy because fraudsters are forever changing their strategies. But, AI and machine learning are making it easier to detect and recognize true fraud.
Cognizant’s Fraud Insights and Intelligence identifies, analyzes and controls fraudulent transactions and erroneous payments before they are processed. Our fraud intelligence solutions preempt risks and fraud in real time using cognitive services and human sciences in healthcare, banking & financial services, insurance, retail industries and more.
Our algorithms identify trends in data, layer patterns against known fraudulent behavior or past losses or exposure and leverage the findings to identify and prevent activities that are demonstrably fraud.
Our Fraud Insights and Intelligence solutions synthesize and enrich data with dynamic rules, statistical models, thick data, AI and machine learning technologies to create a “dynamic transaction context” with real-time alerts.
AI reveals new fraud patterns over time, helping continually prevent and manage fraud, reduce losses and write-offs and enhance operational efficiency.
Technology moves breathtakingly fast. So do fraudsters. Cognizant can help, by offering deep expertise in combating fraud. Our human-centric, AI-based machine learning solutions allow companies to analyze massive datasets—from records of transactions to online behaviors—providing insights into potential fraud and defeating perpetrators at their own game.VIEW PDF
Adding human insight to the arsenal can open new opportunities for combating credit card crime.VIEW PERSPECTIVES
Advanced analytics—text, social media, link and geospatial analysis—can help P&C insurers combat sophisticated claims frauds, reduce related losses, condense claims cycle and improve customer satisfaction.VIEW PERSPECTIVES
How 11 organizations are using artificial intelligence to accelerate decision making, improve business processes, enhance user engagement, reduce costs and drive remarkable growth and profitability.VIEW PDF