Defense in Depth: Fighting Fraud in India with a Multi-Layered Approach

There’s a quip, albeit ironic, making the rounds as forwarded emails and messages – “Who’s driving digital transformation among enterprises: CEO or CIO? The correct answer is COVID-19.” Going beyond impacting global well-being, COVID-19 is pushing the corporate world to rapidly introduce new measures for business continuity. Diametrically opposite to continuity, the black swan event of the novel coronavirus is creating disruption in terms of exploitation and fraud perpetration – especially in the banking and financial sector.

Age Matters: Generational Preferences in Bill Payments

Digitalization has taken the mainstage in the payments industry due to changing consumer preferences and now, in the midst of the COVID-19 pandemic, necessity. According to the 2020 ACI Speedpay Pulse report, one in four consumers has increased their usage of the biller’s website to pay bills, while one in five has decreased the number of payments they send by mail or make in person at a physical location. In addition, more consumers prefer digital statements (48.2%) to paper statements (25%), while around a quarter prefer to receive both digital and paper (26.8%).

Brazil’s Digital Payments Transformation: Five Key Takeaways

Brazil has abundant growth opportunity when it comes to digital payments, with PIX – the Central Bank of Brazil’s new instant payments system – expected to have a significant impact. This was evident during a recent webinar Digital Transformation into Payments, hosted by Mercado & Consumo em Alerta and featuring experts from Getnet, Pernambucanas, Conductor and ACI.

Southeast Asia’s Domestic Payments Infrastructure Has Laid the Foundation for a Cross-Border Real-Time Network

Over the past decade, economies across Asia have been on the path to payments modernization, upgrading and replacing domestic payments infrastructure to make payments cheaper, faster and better. While the focus has been on domestic gains, this has set the foundation for a broader, cross-border real-time network – especially in Southeast Asia.

Introducing Incremental Learning: An Industry-First Boost for Fraud Prevention

In our previous blog on machine learning, we sought to clarify its role in fraud prevention for merchants. To summarize, it can be an extremely effective way to identify patterns of fraud in a manner and at a speed that humans cannot. It is a critical tool in the fight against fraud, especially when used as part of a multi-layered fraud solution.

From ‘Access to Cash’ to ‘Access to Digital’ – How Innovative Thinking is Keeping SMEs Trading

With millions of people in London and the wider U.K. having endured lockdowns and restrictions, the COVID-19 pandemic has had a massive impact on our shopping habits. While some supermarkets have struggled to keep up with customer demand and social distancing rules, many small, local business have adapted to the crisis quickly, efficiently and in innovative ways. While supermarkets have run out of delivery slots, smaller businesses are now offering local deliveries whilst providing safe digital payments options. They are also selling goods that the big supermarkets have run out of because traditional supply chains have been interrupted.

Bringing the Utilities Industry into a New Era of Bill Payments

In the age of customer-centricity, aided by the ubiquity of connected devices, consumer preferences around billing and payment methods – as well as channels – are changing at pace. And based on the newly released ACI Speedpay Pulse study of consumer billing and payment trends, consumers are adopting new technologies when it comes to billing and payment for utilities.

Machine Learning: Separating Fact from Fraud Fiction for Merchants

Machine learning is a broad discipline about which many claims, sometimes extravagant, are made. In recent years, it has often been hailed as the most effective answer to stopping payments fraud.

At ACI, we’ve been working with machine learning models to prevent fraud for over two decades – and we know they can play a critical role in improving fraud detection accuracy. Here we bring together a few insights on how models can be used most effectively.

For Financial Institutions, Community Is Critical to Fighting Fraud with Machine Learning

In November 2019, our experts predicted that democratized machine learning and shared intelligence would be among the most important fraud prevention trends for financial institutions (FIs) in 2020.

Could the Right Use Case Push the U.S. Over the Edge of Real-Time Payments Adoption?

New York City, while a world leader in countless ways, has only just made it possible to access the subway with contactless technology. Something a commuter in London, for example, has taken for granted for many years. While America’s tech companies, manufacturers and retailers have been constantly modernizing, the country’s payment methods and habits lag behind much of the rest of the world.