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Displaying 41 - 50 of 78 Payments Risk Management blog posts

  • private cloud security

    When Is Processing Payments in The Cloud More Secure?

    Wednesday, January 17, 2018

    Back when I started my career, “Jessie’s Girl” by Australian rocker Rick Springfield topped the charts, the federal funds rate was 20 percent and most organizations were reliant upon one or more mainframe computers that were hosted in an internal “computer room.”

  • cybersecurity threats

    More Than Half: The Story of Cyber-Attacks and Global Organizations in 2017

    Friday, January 12, 2018

    Three words. It might not seem enough to cause a rethink of your 2018 cyber-security strategy, but it should. Why? Because according to the latest Forrester report, “Top Cybersecurity Threats for Retailers in 2018,” attackers breached more than half of all global enterprises in 2017.

    More. Than. Half.

  • Changing seasons of payments security regulation

    The Seasons Are Changing (And So Are Fraud and Regulations)

    Monday, November 13, 2017

    If you smell the air, you can sense the seasons changing; a little crispy cold moving in suddenly, the leaves are reddening and the winds of Faster Payments and PSD2 are kicking up. Smooth transition, right? So, yeah, seasons change, and so do regulatory regimes. In the US, we’ve been largely left to our own discretions about how to run our fraud shops, with some regulatory oversight regarding disputes handling. Historically, financial institution processes around authentication and fraud monitoring (including analytics and strategy) could be anything or nothing, depending on an institution’s risk appetite. Like the seasons, this might be in transition.

  • Lessons from data breaches

    Learning Lessons From Large Scale Breaches

    Wednesday, September 20, 2017

    At this point, there’s no ignoring it: our financial security is compromised daily. And no doubt, many reading this wouldn’t hesitate to recount all the breaches they have been a part of as consumers; merchant breaches in which replacement cards forced you to update your linked accounts, or data compromises where personal information was stolen and identity theft protection was provided, forcing you to consider freezing new credit originations.

  • online payment fraud in Australia

    What Australia’s $639m CNP Fraud Problem Means for Retailers

    Thursday, August 31, 2017

    In my role at ACI Worldwide, my fellow fraud consultants and I constantly share information from all corners of the globe. One recent bit of intelligence that immediately caught my eye, and I shared with colleagues across the world, was the staggering cost of card-not-present (CNP) fraud here in Australia.

    CNP fraud accounts for 78% of all payments-related fraud in Australia. And to say it is a challenge for retailers—and the industry as a whole—is a vast understatement. With the astounding growth in eCommerce sales, this is not a problem in decline; it is rising aggressively and shows no signs of abating.

  • PSD2 in the USA

    PSD2 Carries Over to the U.S. – Via the Phone in Your Hand

    Wednesday, August 16, 2017

    Let me ask you a favor. Could you put down your phone for just a minute? Unless, of course, you’re reading this on your mobile device.

    It can be an uphill battle asking someone to put down their phone these days. I have a tween, so I know the struggle! One of the reasons we’re so reticent to do so is the sheer power contained within these devices. At this point, it controls the music, the temperature, the locks and even the lighting in your home, and that’s not even touching on its entertainment value, or its capabilities as a payment device. The device, in its present form, has been around for ten years now, and in 2017, it’s safe to say there’s no going back.

  • filtertering fraud and big data

    Filtering the Fraudster: Building a Picture Using Big Data

    Monday, June 19, 2017

    In our new Insight Paper, we focus on how merchants can build an effective fraud filter for their sales funnel – one that is not over-restrictive, leads to genuine sales being accepted, and prevents genuine fraud. Get the balance right and merchants stand to improve their checkout conversion rates and boost their bottom line.

  • Fine tuned fraud engine

    Stop Fraud… Or Increase Conversion Rates? With a Fine-Tuned Fraud Engine, Merchants Can Do Both

    Monday, May 22, 2017

    Preventing fraud and driving high conversion rates are universally important objectives for merchants – but many struggle to adequately balance these two demands. They either employ aggressive fraud prevention strategies to minimize fraud losses, or conversely, reduce checks in order to prevent false positives, improve customer experience and ensure sales targets are met. Neither exclusive approach works in the long run; focusing on only one will prove costly on multiple fronts.

  • ETA TRANSACT: Time To Break Out.. And Cross Borders To Reach New Customers

    ETA TRANSACT: Time To Break Out… And Cross Borders To Reach New Customers

    Thursday, May 11, 2017

    It’s before lunch on day one of ETA Transact17 in Las Vegas; exhibitors are still putting the finishing touches on their stands in the main hall, so it’s the perfect opportunity to sit in on some of the breakout sessions, part of the educational program put on by the Electronic Transactions Association. And ‘breakout session’ seems particularly apt in this case, as panelists from ACI Worldwide, Planet Payment, and arvato launch into a discussion on how merchants and payment providers can ‘break out’ of their domestic markets and take advantage of the huge opportunity in cross-border eCommerce.

  • Machine Learning

    Rise Of The Machine (Learning) and Fraud Prevention

    Friday, April 21, 2017

    Machine learning, as a sub-discipline within computer science, is primarily concerned with the discovery of patterns in data through algorithms that can learn from and make predictions on that data. These algorithms operate by building a model based on example inputs, which can then make data-driven predictions or decisions. So what, exactly, does this have to do with beating fraud in the real world?