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Updated November 17th Related Posts Link to automotive form, business form

Discover how token-based authentication works, its types, and why businesses trust it to secure sensitive data.

Discover how data and analytics can enhance deposit growth strategies, improve customer engagement, and drive financial wellness for banks and credit unions.

–by Mike Sutton I recently interviewed a number of Experian clients to determine how they believe their organizations and industry peers will prioritize collections process improvement over the next 24 months. Additional contributions were collected by written surveys. Here are several interesting observations:   Improve Collections survey results: Financial services professionals, in general, ranked “loss mitigation / risk management improvement” as the most critical area of focus. Credit unions were the financial services group’s exception and placed” customer relationship management / attrition control” at the top of their priority list. Healthcare providers ranked both “general delinquency management” and “improving cash flow / receivables” as their primary area of focus for the foreseeable future. Almost all of the first-party contributors, across all industries polled, ranked “operational expense management / cost reductions” as being very important or at least a high priority. This category was also rated the most critical by utilities. “External partner management (agencies, repo vendors and debt buyers)” also ranked high, but did not stand out on its own, as a top priority for any particular group.     All of the categories mentioned above were considered important by every respondent, but the most urgent priorities were not consistent across industries.        

While the FACT Act’s Red Flags Rule seems to capture all of the headlines these days, it’s just one of a number of compliance challenges that banks, credit unions, and a myriad of other institutions face on a daily basis.  And meeting today’s regulatory requirements is more complicated than ever.  Risk managers and compliance officers are asked to consider many questions, including: 1. Do FACTA Sections 114 and 315 apply to me? 2. What do I have to do to comply? 3. What impact does this have on the customer’s experience? 4. What is this going to cost me in terms of people and process? Interpretation of the law or guideline – including who it applies to and to whom it does not – varies widely.  Which types of businesses are subject to the Red Flags Rule?  What is a “covered account?”  If you’re not sure, you’re not alone – it’s a primary reason why the Federal Trade Commission (FTC) continues to postpone enforcement of the rule, while this healthy debate continues. And by the way, FTC – it’s almost November 1st…aren’t we about due for another delay? But we’re not talking about just protecting consumers from identity theft and reducing fraud and protecting themselves using the Identity Theft Prevention Program. The USA Patriot Act and “Know Your Customer” requirements have been around much longer, but there are current challenges of interpretation and practical application when it comes to identifying customers and performing due diligence to deter fraud and money laundering.  Since Customer Identification Programs require procedures based on the bank’s own “assessment of the relevant risks,” including types of accounts opened, methods of opening, and even the bank’s “size, location, and customer base,” it’s safe to say that each program will differ slightly – or even greatly. So it’s clear there’s a lack of specificity in the regulations of the Red Flags Rule which cause heartburn for those tasked with compliance…but are there some common themes and requirements across the two?  The short answer is Yes.  In my next post, I’ll talk about the elements in common and how authentication products can play a part in addressing both.  

In my previous three postings, I’ve covered basic principles that can define a risk-based authentication process, associated value propositions, and some best-practices to consider. Finally, I’d like to briefly discuss some emerging informational elements and processes that enhance (or have already enhanced) the notion of risk-based authentication in the coming year.  For simplicity, I’m boiling these down to three categories: 1. Enterprise Risk Management – As you’d imagine, this concept involves the creation of a real-time, cross channel, enterprise-wide (cross business unit) view of a consumer and/or transaction.  That sounds pretty good, right?  Well, the challenge has been, and still remains, the cost of developing and implementing a data sharing and aggregation process that can accomplish this task.  There is little doubt that operating in a more silo’d environment limits the amount of available high-risk and/or positive authentication data associated with a consumer…and therefore limits the predictive value of tools that utilize such data.  It is only a matter of time before we see more widespread implementation of systems designed to look at a single transaction, an initial application profile, previous authentication results, or other relationships a consumer may have within the same organization — and across all of this information in tandem.  It’s simply a matter of the business case to do so, and the resources to carry it out. 2. Additional Intelligence – Beyond some of the data mentioned above, some additional informational elements emerging as useful in isolation (or, even better, as a factor among others in a holistic assessment of a consumer’s identity and risk profile) include these areas:  IP address vs. physical address comparisons; device ID or fingerprinting; and biometrics (such as voice verification).  While these tools are being used and tested in many organizations and markets, there is still work to be done to strike the right balance as they are incorporated into an overall risk-based authentication process.  False positives, cost and implementation challenges still hinder widespread use of these tools from being a reality.  That should change over time, and quickly to help with the cost of credit risk. 3. Emerging Verification Techniques – Out-of-band authentication is defined as the use of two separate channels, used simultaneously, to authenticate a customer.  For example: using a phone to verify the identity of that person while performing a Web transaction.  Similarly, many institutions are finding success in initiating SMS texts as a means of customer notification and/or verification of monetary or non-monetary transactions.  The ability to reach out to a consumer in a channel alternate to their transaction channel is a customer friendly and cost effective way to perform additional due diligence.