
In this article…
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Phasellus at nisl nunc. Sed et nunc a erat vestibulum faucibus. Sed fermentum placerat mi aliquet vulputate. In hac habitasse platea dictumst. Maecenas ante dolor, venenatis vitae neque pulvinar, gravida gravida quam. Phasellus tempor rhoncus ante, ac viverra justo scelerisque at. Sed sollicitudin elit vitae est lobortis luctus. Mauris vel ex at metus cursus vestibulum lobortis cursus quam. Donec egestas cursus ex quis molestie. Mauris vel porttitor sapien. Curabitur tempor velit nulla, in tempor enim lacinia vitae. Sed cursus nunc nec auctor aliquam. Morbi fermentum, nisl nec pulvinar dapibus, lectus justo commodo lectus, eu interdum dolor metus et risus. Vivamus bibendum dolor tellus, ut efficitur nibh porttitor nec.
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Maecenas facilisis pellentesque urna, et porta risus ornare id. Morbi augue sem, finibus quis turpis vitae, lobortis malesuada erat. Nullam vehicula rutrum urna et rutrum. Mauris convallis ac quam eget ornare. Nunc pellentesque risus dapibus nibh auctor tempor. Nulla neque tortor, feugiat in aliquet eget, tempus eget justo. Praesent vehicula aliquet tellus, ac bibendum tortor ullamcorper sit amet. Pellentesque tempus lacus eget aliquet euismod. Nam quis sapien metus. Nam eu interdum orci. Sed consequat, lectus quis interdum placerat, purus leo venenatis mi, ut ullamcorper dui lorem sit amet nunc. Donec semper suscipit quam eu blandit. Sed quis maximus metus. Nullam efficitur efficitur viverra. Curabitur egestas eu arcu in cursus.
H1
H2
H3
H4
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum dapibus ullamcorper ex, sed congue massa. Duis at fringilla nisi. Aenean eu nibh vitae quam auctor ultrices. Donec consequat mattis viverra. Morbi sed egestas ante. Vivamus ornare nulla sapien. Integer mollis semper egestas. Cras vehicula erat eu ligula commodo vestibulum. Fusce at pulvinar urna, ut iaculis eros. Pellentesque volutpat leo non dui aliquet, sagittis auctor tellus accumsan. Curabitur nibh mauris, placerat sed pulvinar in, ullamcorper non nunc. Praesent id imperdiet lorem.
H5
Curabitur id purus est. Fusce porttitor tortor ut ante volutpat egestas. Quisque imperdiet lobortis justo, ac vulputate eros imperdiet ut. Phasellus erat urna, pulvinar id turpis sit amet, aliquet dictum metus. Fusce et dapibus ipsum, at lacinia purus. Vestibulum euismod lectus quis ex porta, eget elementum elit fermentum. Sed semper convallis urna, at ultrices nibh euismod eu. Cras ultrices sem quis arcu fermentum viverra. Nullam hendrerit venenatis orci, id dictum leo elementum et. Sed mattis facilisis lectus ac laoreet. Nam a turpis mattis, egestas augue eu, faucibus ex. Integer pulvinar ut risus id auctor. Sed in mauris convallis, interdum mi non, sodales lorem. Praesent dignissim libero ligula, eu mattis nibh convallis a. Nunc pulvinar venenatis leo, ac rhoncus eros euismod sed. Quisque vulputate faucibus elit, vitae varius arcu congue et.
Ut convallis cursus dictum. In hac habitasse platea dictumst. Ut eleifend eget erat vitae tempor. Nam tempus pulvinar dui, ac auctor augue pharetra nec. Sed magna augue, interdum a gravida ac, lacinia quis erat. Pellentesque fermentum in enim at tempor. Proin suscipit, odio ut lobortis semper, est dolor maximus elit, ac fringilla lorem ex eu mauris.
- Phasellus vitae elit et dui fermentum ornare. Vestibulum non odio nec nulla accumsan feugiat nec eu nibh. Cras tincidunt sem sed lacinia mollis. Vivamus augue justo, placerat vel euismod vitae, feugiat at sapien. Maecenas sed blandit dolor. Maecenas vel mauris arcu. Morbi id ligula congue, feugiat nisl nec, vulputate purus. Nunc nec aliquet tortor. Maecenas interdum lectus a hendrerit tristique. Ut sit amet feugiat velit.
- Test
- Yes

By: Kennis Wong Most lenders authenticate applicants before they extend credit. With identity theft so prevalent today, not ensuring you are dealing with the real consumer before starting a customer relationship is like playing Russian roulette. Especially for installment loans, when the goods are out, the chance of recouping the money in the case of identity theft is slim. Even for secured loans like car loans, fraudsters can always cash out the car in Mexico, and you will never see the shadow of it again. No wonder lenders place a lot of emphasis on checking people’s identities at application. For many cases, this is really the key point where identity fraud can be stopped. But it is not necessarily true for all type of lenders. For revolving loans, lenders could still minimize fraud losses after credit application is approved, as long as available credit still exists. You can imagine that once a fraudster gets hold of someone’s identity, s/he is likely to maximize its value by using it again and again. Therefore, there should be more credit activities, hence more evidence of misuse, by Day 7 than on Day 1. In the unfortunate event that a fraudster passes authentication on Day 1, it is still possible that you discover the fraud on Day 7 if you have new information. If you are a credit card issuer, it means you can still stop the action before the credit card gets to the fraudster’s hand and gets activated. Unfortunately for a lot of smaller lenders, the due diligence stops at the point of application. Even larger lenders only start their “account management” fraud detection at the point of high-risk transaction or payment. By not watching the new customer relationship closer and studying fraud trends, they are missing out fraud loss reduction opportunity.

By: Kristan Frend It seems as though desperate times call for desperate measures- with revenues down and business loans tougher than ever to get, “shelf” and “shell” companies appear to be on the rise. First let’s look at the difference between the two: Shelf companies are defined as corporations formed in a low-tax, low-regulation state in order to be sold off for its excellent credit rating. According to the Better Business Bureau, off-the-shelf structures were historically used to streamline a start-up, but selling them as a way to get around credit guidelines is new, making them unethical and possibly illegal. Shell companies are characterized as fictitious entities created for the sole purpose of committing fraud. They often provide a convenient method for money laundering because they are easy and inexpensive to form and operate. These companies typically do not have a physical presence, although some may set up a storefront. According to the U.S. Department of the Treasury’s Financial Crimes Enforcement Network, shell companies may even purchase corporate office “service packages” in order to appear to have established a more significant local presence. These packages often include a state business license, a local street address, an office that is staffed during business hours, a local telephone listing with a receptionist and 24-hour personalized voice mail. In one recent bust out fraud scenario, a shell company operated out of an office building and signed up for service with a voice over Internet protocol (VoIP) provider. While the VoIP provider typically conducts on-site visits to all new accounts, this step was skipped because the account was acquired through a channel partner. During months one and two, the account maintained normal usage patterns and invoices were paid promptly. In month three, the account’s international toll activity spiked, causing the provider to question the unusual account activity. The customer responded with a seemingly legitimate business explanation of activity and offered additional documentation. However, the following month the account contact and business disappeared, leaving the VoIP provider with a substantial five figure loss. A follow-up visit to the business showed a vacant office suite. While it’s unrealistic to think all shelf and shell companies can be identified, there are some tools that can help you verify businesses, identify repeat offenders, and minimize fraud losses. In the example mention above, post-loss account review through Experian’s BizID identified an obvious address discrepancy – 12 businesses all listed at the same address, suggesting that the perpetrator set up numerous businesses and victimized multiple organizations. The moral of the story? Avoid being the next victim and refine and revisit your fraud best practices today. Click here for more information on Experian's BizID

The overarching ‘business driver’ in adopting a risk-based authentication strategy, particularly one that is founded in analytics and proven scores, is the predictive ‘lift’ associated with using scoring in place of a more binary rule set. While basic identity element verification checks, such as name, address, Social Security number, date-of-birth, and phone number are important identity proofing treatments, when viewed in isolation, they are not nearly as effective in predicting actual fraud risk. In other words, the presence of positive verification across multiple identity elements does not, alone, provide sufficient predictive value in determining fraud risk. Positive verification of identity elements may be achieved in customer access requests that are, in fact, fraudulent. Conversely, negative identity element verification results may be associated with both ‘true’ or ‘good’ customers as well as fraudulent ones. In other words, these false positive and false negative conditions lead to a lack of predictive value and confidence as well as inefficient and unnecessary referral and out-sort volumes. The most predictive authentication and fraud models are those that incorporate multiple data assets spanning traditionally used customer information categories such as public records and demographic data, but also utilize, when possible, credit history attributes, and historic application and inquiry records. A risk-based fraud detection system allows institutions to make customer relationship and transactional decisions based not on a handful of rules or conditions in isolation, but on a holistic view of a customer’s identity and predicted likelihood of associated identity theft, application fraud, or other fraud risk. To implement efficient and appropriate risk-based authentication procedures, the incorporation of comprehensive and broadly categorized data assets must be combined with targeted analytics and consistent decisioning policies to achieve a measurably effective balance between fraud detection and positive identity proofing results. The inherent value of a risk-based approach to authentication lies in the ability to strike such a balance not only in a current environment, but as that environment shifts as do its underlying forces.


