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
Apache Spark, sometimes called the “analytics operating system,” is empowering organizations of all kinds through machine learning by helping them create unprecedented value from their data. Discover eight ways that Apache Spark’s machine learning capabilities are driving the modern business.
Don’t let your guard down in the digital playground: although social media networks have become a part of daily life for many of us, they pose greater risks than many realize. Find out how solutions designed to identify fraudulent activity and stop it in its tracks help make financial security the
Mandatory fiduciary rule compliance looms, and yet wealth management firms are confronting a dearth of technology options to aid compliance. Hear what experts on this subject have to say about the critical need for surveillance technology to adequately monitor wealth management firm compliance.
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
How can public agencies, law enforcement and citizens utilize advanced technologies to their advantage in the war on cyber threats, terrorism, fraud and crime? Hear what leading security experts have to say in a recent Analytics Brief on staying ahead of cyber criminals, terrorists and hackers.
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
Gottfried Leibbrandt, chief executive of the Society for Worldwide Interbank Financial Telecommunication (SWIFT), declared that he is going "on the offensive against cyber criminals." With the recent spate of cyber attacks on banks including an 81 million heist we are in dire need of a tight
Fraudulent activities made against Medicare, Medicaid and health insurance organizations are rampant. And because they are committed against governmental social services organizations, they cost US taxpayers huge sums of money. One way to identify and fight against this kind of fraud is combining
Fraudulent practices against social program organizations such as the Social Security Administration are varied, complex and challenging, and its perpetrators range from organized crime to family members of beneficiaries. Gain an understanding of the depths of Social Security fraud and how
Financial institutions everywhere face the ever-present threat of fraud, particularly in the relatively porous channels opened by electronic banking and payments—channels notably exploited by organized crime. Some leading financial institutions, however, unwilling to stand still as threats advance
Like well-coordinated teams in the NBA, today’s insurers need a comprehensive set of analytics tools to shut down fraudsters who perpetrate costly, insidious claims fraud. Discover how to assemble your own dream team of analytics and forensic tools to help your insurance organization emerge
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
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
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