Using IBM Counter Fraud Management (CFM), an insurer can improve the operational effectiveness of its fraud prevention program and drive impressive fraud savings. IBM Watson helps insurers detect, respond and stop fraud with the ability to tap unstructured data.
Hunting the elusive black swan that is a fraudulent high-value payment requires a meticulous process of refining the fraud detection methodology to accurately identify the small variances in usual customer patterns. See how spotting elusive black swans requires the right tools to spot variances in
The financial services industry is in the midst of a shift toward integrating advanced analytics techniques into fraud prevention operations. Hear from two industry luminaries how fintech organizations challenged with limited skilled resources can use advanced analytics to identify patterns and
Incumbent fraud-detection models just aren’t up to the task of revealing black swans in high-value payment channels managed by financial institutions. See how the key to identifying the fraudulent activity that is a black swan in your flock comes down to understanding and spotting the deviations of
Using IBM Counter Fraud Management (CFM), an insurer can improve the operational effectiveness of its fraud prevention program and drive impressive fraud savings. IBM CFM leverages entity analytics, anomaly detection, predictive analytics and machine learning along with powerful forensic analysis
Analytics enables banks to comply with regulations and reduce the risk of fraudulent practices in four major areas. These innovation-driving areas include identifying suspicious transactions, staying within the law to uncover predatory lending practices, defending against online threats and
Fraud detection and prevention are critical, but the banking industry needs to see beyond fraud. By effectively using cybersecurity assessment tools, banking regulators and institutions along with the financial services industry need to intelligently adapt and be ever-vigilant against the rise in
Rising use of mobile devices by cyber criminals to do their dirty work is in lockstep with the trajectory by which consumers are using mobile devices to do their banking. The reason, quite simply, is the same for both types of users—convenience. Fortunately, financial institutions are taking the
Financial institutions need comprehensive analytics to build a strong bank fraud detection strategy. Advanced analytics software provides the tools necessary for banks to recognize and act on suspicious patterns, quickly notify customers of fraud incidents and position themselves for faster
Turn the tide of the battle against insurance fraud by adopting analytics practices that give you the edge against perpetrators. Using counterfraud management, you can evaluate the data at your fingertips to identify and analyze patterns that can help you combat fraud even before it arises.
Insurance fraud has a very real impact on the average person, considering the $950 price tag per family in the United States. But fighting fraud gets harder every year. What are your stumbling blocks? Get started on your counter fraud management journey with this infographic.
Banking fraud is costing billions of dollars, but fraud and financial crime no longer have to be an accepted as a cost of doing business. Prevent, detect and mitigate fraud and financial crime with an analytics solution specifically designed for the banking industry.
Insurance fraud is costing insurance companies billions of dollars annually, which is translating into higher premiums for policyholders. However, fraud no longer has to be just a cost of doing business. Take the fight to fraudsters with the comprehensive fraud analytics solution from IBM that