fraud

Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts.

Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a Government Fraud Solutions Architect within the SAS Security Intelligence practice.

This white paper, sponsored by SAS, examines the interplay between the challenges and opportunities afforded by the growing breadth of digital channels offered by financial institutions. Mobile wallets, real-time peer-to-peer (P2P), and digital account opening all require the right mix of security solutions, background analytics, and personnel to balance positive customer experience with robust fraud protection. JAVELIN independently produced this whitepaper and maintains complete independence in its data collection, findings, and analysis.

Digital currency is here. Consumers have demanded more choice in ways to pay merchants, move money to friends and access their accounts. Payment providers have done well to meet these expectations for immediacy and convenience in managing money. The convenience is great for account holders, but it requires financial institutions and merchants to apply fraud safeguards at the same speed, sometimes in less than a second. Each new accelerated service brings new risks.

For traditional banks, competing in an increasingly digital business environment is a challenge. And it’s getting tougher on several fronts. First, today’s digitally oriented customers expect banks to provide an ever-higher quality experience defined by speed and the flexibility to conduct business across many channels. They’ve grown accustomed to going online and transferring money between accounts, for example, and using their mobile device to make payments and check their account balance. These kinds of experiences have raised the bar in terms of customer expectations – and banks need to keep up, or risk losing customers. This is particularly true of millennial customers, as they have little regard for loyalty, which banks have traditionally relied on to build their business. Once frustrated by inconvenience, they don’t hesitate to switch banks – and thanks to the internet, this is now a fast, painless process.

Tax evasion is the largest economic crime in the world (in terms of monetary loss), costing trillions of dollars to governments around the globe. A 2011 study by The Tax Justice Network estimates that on a global scale, total tax evasion is in excess of US$3.1 trillion, or about 5.1% of world GDP.1 And that’s just the known tax evasion and noncompliance; it doesn’t include the underground economy and cash businesses.

Insurers have long been plagued by fraud, error, waste, and abuse in health care payments. The costs are huge – amounting to as much as 25 percent of payments made. Today’s data management and analytics platforms promise breakthroughs by incorporating comparative and behavioral data to predict as well as detect loss in all its forms. To explore the opportunities and how insurers can capitalize on them, IIA spoke with Ben Wright, Sr. Solutions Architect in SAS’s Security Intelligence Global Practice.

The underground economy is thriving, thanks in part to new technologies and business models such as digital currencies and online marketplaces for freelance services. SAS fraud specialists reveal how government agencies can uncover these activities – and the tax obligations not reported from them. A former head of compliance for the country’s fourth-largest state workers' comp program describes how a comprehensive analytics program found a tax gap of $718 million and was granted funding to double the team’s size without even asking.

Health insurers have long been plagued by issues of fraud, waste, abuse, error and corruption. Taking an enterprise approach to payment integrity – one that combines advanced data management and sophisticated analytics – can help payers detect and prevent fraud; effect positive change in how providers, employees and patients behave; and substantially reduce health care costs. Payers can achieve better outcomes when software support for the core disciplines of payment integrity run on a single platform.

Procurement fraud affects nearly one-third of organizations, and it is often perpetrated by the most trusted, longtime employees, the ones you’d least suspect. Learn from three white-collar crime specialists about common flavors of procurement fraud, striking examples from recent headlines, four fundamental ways to get better at detecting and preventing fraud, and how to take procurement integrity to the next level.

How much are fraud, error, waste and abuse costing your organization? Costs to insurers are huge – as much as 25 percent of payments made. But data management and analytics can save the day. This paper discusses how data can be used to predict and detect loss in all its forms.

Controlling distribution of passwords to highly sensitive environments in no longer enough; learn more about Privileged identity management (PIM) and what you can do to monitor and control your business to finest level of detail possible.

Tax revenues have been declining recently and some of this loss is caused by fraud, tax evasion, and various forms of tax cheating. The ineffective recovery techniques can give government agencies poor results, which results in 20% of broad-approach audits ending in "no charge". By using IBM SPSS Predictive Analytics Solutions it is possible to maximize revenues, analyze the data you already collect, detect non-compliant accounts efficiently, and identify important differences in tax records. This program has tremendous power and features an easy to use interface that focuses investigations on case that yield large adjustments ensuring a successful ROI for clients.

Read this white paper to learn how you can detect and prevent fraud and focus audits on cases that are likely to yield the biggest tax adjustments.

Insurers lose millions each year through fraudulent claims. Learn how leading insurance companies are using data mining techniques to target claims with the greatest likelihood of adjustment, improving audit accuracy and saving time and resources. Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts; build models based on previously audited claims and use them to identify potentially fraudulent future claims; ensure adjusters focus on claims most likely to be fraudulent; and deploy results to the people who can use the information to eradicate fraud and recoup money.

This seminar will show you how next-generation solutions are solving the "big data" challenge, and are providing enterprises with the visibility and analysis they need to move from post-incident forensics to pro-active and fraud intelligence.

Developing for and in the cloud has never been more dependent on data. Flexibility, performance, security—your applications need a database architecture that matches the innovation of your ideas. Industry analyst Ovum explored how Azure Cosmos DB is positioned to be the flagship database of internet-based products and services, and concluded that Azure Cosmos DB “is the first to open up [cloud] architecture to data that is not restricted by any specific schema, and it is among the most flexible when it comes to specifying consistency.” From security and fraud detection to consumer and industrial IoT, to personalized e-commerce and social and gaming networks, to smart utilities and advanced analytics, Azure Cosmos DB is how Microsoft is structuring the database for the age of cloud. Read the full report to learn how a globally distributed, multi-model data service can support your business objectives. Fill out the short form above to download the free research paper.

You thought EMV was supposed to help eliminate fraud, right? While it will reduce card-present fraud, there is a high likelihood that card-not-present (i.e. e-commerce) fraud will increase now that EMV has been implemented in the U.S.. In fact, experts have predicted an increase in online fraud similar to what was seen after the European rollout of EMV. As a merchant, are you prepared for such an increase? This article describes the EMV implementation and gives actionable tips for how online retailers should prepare in order to avoid a potential onslaught of fraud.

Our latest report examines the trends and challenges facing fraud managers today and provides the strategies to address them. Learn how your peers are faring, and see how you compare to them.

As one of the top cyber crime ploys impacting both consumers and businesses, phishing has remained a consistently potent threat over the past several years .

Leveraging econometric analysis of a dataset of approximately 63,000 hired employees spanning approximately 250,000 observations, this report looks not only at the measurable costs of toxic behavior such as sexual harassment, theft and fraud, but also other, equally damaging and harder-to-measure costs. The report examines these indirect costs closely, looking particularly at the toll toxic employees take on co-workers, and concludes that these costs create an even larger financial burden on businesses than the direct impact of an employee’s misbehavior

This white paper highlights a surprising new approach to fraud prevention: remotely recognizing a fraudster’s PC (or other device). Even with identity (password/credit card) theft, the device stays the same!

In 2007 alone, $3.6 billion was lost to online fraud. This white paper shows how to block scam artists, reliably and affordably—while ensuring that real customers always have access.

In this new white paper, learn how it’s possible to block fraud without damaging the customer experience and causing dropoff.

This white paper highlights a surprising new approach to fraud prevention: remotely recognizing a fraudster’s PC (or other device). Even with identity (password/credit card) theft, the device stays the same!