Financial institutions (FIs) must support the channels and services that consumers demand in order to remain competitive with each other and with disruptive competitors. To that end, supporting account opening, delivering new transactional features, and facilitating payments through digital channels have become table stakes. Unfortunately, the speed and convenience that these capabilities afford is a benefit to consumers and fraudsters alike. To successfully prevent fraud while retaining the benefits of offering digital financial services, FIs must understand how fraudsters are exploiting these capabilities and fight fraud with customer experience in mind.
While mobile threats are still largely mischiefware and have not yet broken the device’s security model but instead more focused on for-pay texting scams or stealing personal information, the dangers are still rife. This white paper from BlueCoat examines the mobile threat landscape and the behavioral patterns of mobile users that make them most vulnerable to data loss, malicious applications, fraud and other mobile threats.
All indicators are up when it comes to mobility: More devices, more users, more budget, and more applications. Business technology leaders must begin planning now for a security paradigm shift, one that will pull together disparate security policies into a single, user-centric, universal policy that can apply to whatever devices and apps employees use. This white paper from BlueCoat explores the new security challenges mobility trends are creating, and how security must change to meet them.
Banks and credit unions can prevent fraudsters and other cybercriminals from gaining an upper hand on them by using more sophisticated protection. This protection is found in five layers of proactive security defense. Q2’s paper, Multilayer Security— Because a moat is not enough, discusses these essential layers to keeping account holders secure.
This white paper shows how integrated security suites can help organizations achieve high security and compliance with internal and external mandates, while also providing lower out-of-pocket costs, simplified management, and no compatibility issues.
People on the frontlines of public-sector fraud management have considerable need to detect, monitor and prevent fraud in real time. They recognize that speed in analysis, detection, investigations and simulations is the key to minimizing taxpayer dollars lost to fraud. Read the report to learn more.
IBM's i2 Analyst’s Notebook offers a wide range of analysis and visualization capabilities that can aid in the identification of key actionable intelligence. Download this IBM White Paper to discover and deliver actionable intelligence to help identify, predict and prevent criminal, terrorist, and fraudulent activities with IBM i2 Analyst's Notebook.
IBM® i2® Analyst’s Notebook® provides rich visual analysis capabilities that help to quickly turn complex sets of disparate information into high-quality, actionable intelligence. It is designed to help analysts, and others involved in intelligence analysis, identify, predict, and prevent criminal, terrorist and fraudulent activities.
This whitepaper talks about how organized criminals and lone fraudsters are continuously adapting to the ever-changing world we live in. Through IBM solutions for insurance fraud prevention, both enterprise and industry-wide financial institutions can prevent future fraud.
The IBM Counter-Fraud Management for Insurance solution is designed to help insurers prevent and intercept attempted fraud while detecting, identifying, and building the case against past fraudulent activity and improper payments.
Expense fraud costs a median loss of $33,000 in each instance, according to Association of Certified Fraud Examiners (ACFE). Despite the nonchalant attitude of many employees, expense fraud is a crime that affects organizations large and small.
Fraud preventative solutions are designed to avert new accounts fraud before it occurs. The strategic advantage of fraud prevention therefore lies in the ability avoid losses to institutions and consumers.
The Payment Card Industry Data Security Standard (PCI DSS) is a global security program created to increase confidence in the payment card industry and reduce risks to PCI members, merchants, service providers and consumers. It was developed by the major credit card companies as a guideline to help organizations that process card payments prevent credit card fraud.
Published By: IDology
Published Date: Feb 11, 2008
There is a new automated technology available now that is helping businesses combat identity theft and prevent fraud. It is called identity proofing and it is specifically designed to verify consumer identities online. With all the fraud prevention solutions available in the market today you are probably wondering, does my company really need to use an identity proofing solution?
Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts and deploy results to the people who can use the information to eradicate fraud and recoup money.
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.
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.