Every fraudster leaves behind a trail, but not every business is equipped to identify the telltale signs of fraud in its data. Find out how creating a culture of analytics can help your company differentiate itself from the competition by cutting down on losses incurred by fraud.
According to a 2015 survey of 500 banking and finance executives, cybersecurity and fraud top the agendas of 80 percent of institutions—yet only 56 percent of executives believe that their own organizations have a handle on fraud threats. Counter fraud experts Wilson Davis and David Dixon, authors
Fraud is pervasive and impacts many sectors, but its impact on the healthcare industry is profoundly damaging from a cost perspective. Take a look at this point of view by experts demonstrating how fraudulent practices in healthcare administration can be dramatically reduced by fraud-detection
An important ingredient for any successful business is its staff. And yet recent research shows that human resources ranks lowest among front office operations when it comes to using predictive analytics, particularly to recruit and retain the right professionals for the right positions. But that
Tony Boobier and Hugh Wallis discuss the impact of Solvency II regulations on the insurance industry in Europe. As of 2016, Solvency II requires mandatory risk reporting, but many European insurers face significant challenges handling the massive amounts of data they must submit to be in compliance
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
Put the kibosh on suspicious activity, bad actors and the illegitimate behaviors that often go undiscovered for government and social healthcare programs in particular. Learn more about advanced methods that utilize multilayered analytics in social program healthcare compliance solutions to counter
Intelligence analysis and data analytics provide organizations with the ability to detect and counter cybercriminals. Identifying even the smallest changes in users' online behavior patterns and in daily system operations provides crucial clues that help stop bad actors from stealing data.
Understanding your data’s life cycle can help you lay a solid foundation for your business analytics, preserving the integrity of your data even as you define that data, track it and use it to drive your business decisions. Find out how keeping tabs on your data lineage can empower your information
Fraud is a primary concern for financial institutions, particularly in the relatively porous channels opened by electronic banking and payments, which have seen notable exploitation by organized crime. However, some leading financial institutions have used emerging big data and analytics
Today we announce the acquisition of IRIS Analytics GmbH, an award-winning provider of real-time payments fraud prevention software. This strategic acquisition aims to strengthen our entire Safer Planet portfolio with the addition of IRIS’s advanced machine learning techniques and automated model
Although financial criminals exploit a wide range of channels in their attempts to defraud banks, check deposit fraud takes a notable toll on financial institutions. But even this type of fraud is only one of several particularly acute threats to customers’ accounts. For example, banks must also
Banks are seeking better fraud protection with deep analytics. These tools go beyond simple account monitoring in an attempt to mitigate the billions of dollars fraudsters steal each year through online and mobile channels.
Financial crime will surely become increasingly prevalent as it grows more sophisticated than ever. But businesses don’t have to accept financial crime. They need to get to know it and minimize it by identifying and understanding their customers. Rule- or profile-based search engines that many