Passwords are not enough

by David Britton 2 min read August 7, 2014

Companies are facing incredible difficulties identifying fraud risks at the point of origination. Setting up accurate fraud detection processes has become more and more challenging as mobile and online channels have become widely used by consumers. At the same time, fraudsters’ techniques are becoming increasingly sophisticated. To compensate, organizations have had the choice of either:

a) Implementing very tough identity-proofing standards — risking turning away legitimate customers.

b) Lessening their criteria and opening themselves to increased risk.

Any business that functions in a web connected environment that has a need to recognize new or returning consumers must look beyond the simple credentials that have been provided by the user such as usernames, passwords, email addresses, phone numbers, handles, secret questions or secret answers. To increase assurance businesses need to start need to start looking at authenticating users through their devices that are being used to present those credentials.

The underground is awash in legitimate but stolen credentials and should be treated with a great deal of skepticism by the businesses attempting to authenticate their customers. There will always be a pendulum swaying in the echoes of this kind of news – with businesses locking down access with more stringent policies and in doing so they begin to undo all the work that has been done to create a frictionless consumer experience.

The industry may now begin to realize the ultimate dream of the consumer: completely effortless access. Rather than requiring consumers to type in credentials that may have been compromised why not leverage the various technologies that exist to simply recognize the consumer when they access the site in question? Digital consumers interact with businesses via their digital proxies – their devices – which must come in digital contact with the web servers in order to gain access.The industry should require the machines to do heavy lifting (rather than consumers) when it comes to “recognizing” them when they return.The right technology offers a more robust, privacy-compliant and transparent way for businesses to recognize their digital consumers.

As we’ve discussed previously the authentication process will shift from a single view to a layered, risk-based authentication approach that will include comprehensive and real-time updates of consumer information. This is done through technology that has been tested over the years and protects millions of customer accounts today with incredible results in terms of both fraud detection and frictionless consumer experience.

The time has come to embrace the realities and the possibilities of the new digital environment in which we operate.

Learn more about how your business can authenticate consumers confidently.

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One Platform, Fewer Handoffs, Faster Decisions

The average credit union manages between 100-300 vendor relationships, and nearly a third have no dedicated staff managing them. What was supposed to drive efficiency is stunting growth and compromising the member experience. Application volume is continuing to rise, and consumers expect a loan decision at digital speed. But for credit unions, meeting that expectation isn't the only goal. They must also continue to make the right lending decisions while also prioritizing risk management. The institutions pulling ahead aren't the ones with the most tools. They're the ones that have turned credit, fraud and decisioning into a single, coordinated system. A single loan decision touches: Credit data Identity verification Fraud signals Decisioning logic Reporting Rarely does all of that live in one place. More often, it’s stitched together across separate platforms, each with its own contract and its own support line. When a credit view and a fraud view are generated separately, they must be reconciled instead of read together in the same instant. Every handoff is a place where a decision slows down and a signal gets missed. It's why a fraud pattern that would be obvious next to the credit file often surfaces only after the funds are already gone. Fragmentation also makes it harder to optimize lending strategies over time. When data, analytics and decisioning are disconnected, credit unions have less visibility into what's working, what's changing and where strategies need to be adjusted. An integrated decisioning ecosystem closes those seams by design, with credit, fraud and lending strategy running on one platform and accessed through a single Application Programming Interface (API). Identity and compliance capabilities can be an integrated decisioning flow. The data doesn't need to be reconciled after the fact because it was never separated in the first place. Stop overengineering, start removing friction When decisioning underperforms, the instinct is to build something more custom: a proprietary model, tighter segmentation, more configuration.  Custom modeling has its place for institutions with the scale and data to justify it. But often, for small or mid-sized credit unions, the bigger opportunity is a flexible decisioning strategy that uses a strong, continuously refreshed model. This shouldn't be either/or. The right approach gives credit unions a strong decisioning strategy today, with the ability to introduce more customized analytics and modeling as their needs evolve.  The same principle applies to strategy management: credit unions can gain greater control through self-service capabilities as they build a more sophisticated data science team.   That kind of flexibility is important as credit unions modernize their decisioning infrastructure. Research surveying more than 2,000 senior credit risk and fraud decision-makers across 11 countries found that organizations investing in unified platforms and modern infrastructure are moving faster and realizing the greatest Return on Investment (ROI).   As their needs evolve, credit unions can adjust decisioning strategies without introducing another layer of technology or relying on third parties to make every change. Until self-service is the right fit, choose a partner that understands what makes your credit union’s membership and risk appetite different from others.  Same member, same afternoon, faster answer Consider a credit union growing its auto and personal loan originations.  A member applies for an auto loan on Saturday afternoon. Credit data, identity and fraud signals are read together in a single real-time pass instead of separate reviews:  Most applications resolve immediately, approved or declined based on a more comprehensive view of the applicant. A smaller number are flagged for quick step-up verification and cleared within minutes. Only genuinely ambiguous cases reach an underwriter, who is working from one complete picture instead of reconciling multiple signals. The member has an answer before the weekend is over. The credit union books the loan before competitors even open on Monday. Built to scale This kind of process holds up today. However, the better test is whether it holds up eighteen months from now when application volume has grown, new products are live and the data flowing through the system looks nothing like it does right now. Future-proofing isn't only about handling more volume. It's about having room to be nimbler and make adjustments as quickly as the market changes. A credit union that relies on standard models within a decisioning strategy may want more customized analytics and greater control over its strategies tomorrow. Connect with us With more than three decades of credit expertise and one of the industry's largest data footprints, Experian helps credit unions do more than solve this year's friction. We're helping to build a decisioning foundation that scales, so growth becomes something the system absorbs, rather than something it must be rebuilt around. Explore More

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