Bank Innovation

APRIL 17, 2017

Fraud campaigns targeting online financial services tend to be smaller, and subtler than fraud campaigns conducted for other online platforms.

social media 191

social media Big Data Fraud Analytics 191

PYMNTS

DECEMBER 5, 2017

Through improving technology and decreasing costs, AI and Big Data are now combining to help firms in the financial sector prevent payments fraud. The Stage was Set with Big Data. Certainly, the mountains of data are becoming larger by the day.

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PYMNTS

MARCH 19, 2018

These tactics cast a wide net of fraud over the fleet card industry – from issuers and acquirers to fleet managers, employers and employees themselves. The company’s latest solution, EazyFuel , offers fraud and risk management directly to all players in a fleet card transaction, in addition to payment processing and other capabilities.

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PYMNTS

JUNE 14, 2016

Small firms need data. And Big Data has been growing, well, hugely. The movement toward the cloud has simplified embracing new technologies but only somewhat, as the options tied to Big Data, in terms of methodologies and platforms, have grown as well.

Big Data 100

Big Data Data Software Operations 100

Perficient

OCTOBER 15, 2020

The world of modern data and analytics continues to evolve and is very exciting. The change really began in earnest about 10 years ago with the introduction of Hadoop and big data processing. While this explosion of data use cases started on premises, it is most certainly migrating to the Cloud as the primary platform.

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PYMNTS

OCTOBER 29, 2018

And as is the case with other forms of hacking , data theft and fraud, danger can always come from the inside, or what the Kaspersky report called “insecure behavior by medical staff” who could access private patient data for criminal purposes.

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PYMNTS

JANUARY 28, 2020

It’s a perfect job for the dynamic duo of unsupervised machine learning (UML) and Big Data, creating real-time detection architectures that look for trouble. The matter is explored in detail, with a special focus on threat intelligence, in The Digital Fraud Tracker ® for January 2020, a PYMNTS and DataVisor collaboration.

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Fraud Data Big Data Strategy 143

PYMNTS

JUNE 13, 2019

Countering digital fraud is a lot like playing whack-a-mole: As soon as one fraudster is taken out, two more pop up where they’re least expected. The popularity of digital banking services has created ample opportunities for bad actors, leaving banks scrambling to protect themselves against the rising tide of fraud. It helps.”.

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PYMNTS

MAY 23, 2018

As the speed of payments increases around the world, the potential scope of fraud shifts to targets beyond cards. Faster payments does not necessarily mean more fraud,” Kearns said. “It Such a view enables an organization to spot idiosyncrasies that other types of fraud prevention technologies might miss.

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NCR

MAY 22, 2017

Big data has been one of the tech industry’s most popular buzzwords for a few years now. But as the number of data sources grows and technology to process it becomes more powerful, the trend is changing from a nice-to-have addition to becoming an essential part of any company’s offering. Fighting fraud.

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Insights on Business

JUNE 3, 2019

Because of this, traditional rules-based fraud detection systems have become outdated and no longer work. Today, real-time payments require real-time fraud detection. Modern payment fraud schemes require modern prevention. Data-science-project-turned-fraud-prevention-solution vs. purpose-built-fraud-prevention-solution.

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PYMNTS

APRIL 14, 2017

While the fraud ecosystem continues to rapidly develop and advance, big data may prove itself to be a strong weapon in combatting fraud. With that thought in mind, DataVisor set off on a mission to utilize harness and analyze that could potentially detect fraud and protect billions of users around the world.

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Fraud Online Big Data Taxes 112

Banking Exchange

FEBRUARY 26, 2020

Online payment fraud could cost companies more than $200 billion over four years, finds Juniper Research Risk Management Technology AML & Fraud Cyberfraud/ID Theft Compliance/Regulatory Operational Risk Big Data Security Online Cards BSA/AML Feature3 Feature Financial Research Payments.

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Fraud Big Data Risk Management Compliance 97

PYMNTS

MARCH 22, 2018

Fraud detection startup Sift Science has raised $53 million in a series D round, bringing its total amount raised to $107 million. Founded in 2011, Sift Science plans to use this latest round of funding to grow its fraud detection and prevention product globally. Clients include Twitter, Airbnb, Twilio, Instacart, Zillow and Yelp.

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Fraud Atlanta Capital Big Data 108

PYMNTS

MAY 3, 2017

NACHA may have assured some banks that Same Day ACH hasn’t led to an increase in payments fraud, but concerns remain widespread about how the initiative and other faster payments efforts will reduce the window of opportunity for FIs to detect and prevent an incident. We do believe that there will be a greater uptick in fraud attempts.”.

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Fraud Payments Analytics Data 113

PYMNTS

JUNE 15, 2017

Can data make all the difference in the fight against payments fraud? Yes — if you know what to do with the data, and if you know where to find it in the first place. The discussion played off the findings of a new whitepaper from the firm titled, “Driving Up Conversion with Effective Fraud Management.”.

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Fraud Data Tools Management 115

PYMNTS

APRIL 22, 2020

Insurance fraud is not a new phenomenon, but it is a prevalent one. Insurance providers are taking action to mitigate such problems and keep their operations and customers safe from fraud, however. Insurance providers are taking action to mitigate such problems and keep their operations and customers safe from fraud, however.

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Fraud Data System Policies 200

PYMNTS

JUNE 2, 2017

First Data, the global commerce-enabling technology company, announced Thursday (June 1) the launch of Fraud Detect, a fraud solution for merchants around the world. According to First Data, using artificial intelligence, Fraud Detect analyzes vast data sets to identify fraud and potential chargebacks.

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PYMNTS

OCTOBER 29, 2019

Cybersecurity and fraud protection company DataVisor , which uses artificial intelligence to help with fraud solutions, has launched a program called ExtenD, with the intention of helping medium to larger businesses with their cybersecurity and fraud needs, the company said in a press release.

Fraud 100

Fraud Cyber Security Big Data Training 100

Bobsguide

JULY 28, 2016

Banks in particular realise that advanced data and analytics technology could provide solutions to some of their biggest challenges such as, retaining customers, keeping up with competition, compliance and tackling fraud. Big data presents lots of opportunities for companies to personalise the.

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Payments Source

MAY 7, 2019

Every organization has some kind of plan for the future, but advances in technology, cyber threats, changes in regulation and political uncertainty make it extremely difficult to plan for what lies ahead, writes Ian Stone, CEO of Veualta.

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Big Data Company Data Payments 117

PYMNTS

OCTOBER 25, 2017

There are different levels of fraud management an organization can implement, from completely in-house to completely outsourced. But for a company planning to build an internal team to manage and prevent fraud 24/7, it’s important to understand the value and limitations of this approach.

Fraud 101

Fraud Management Tools Analytics 101

PYMNTS

DECEMBER 21, 2016

Alibaba is combating the growing threat of pirates and counterfeiters with the help of could computing. The Chinese eCommerce giant said that its own Operation “Cloud Sword” led to the arrest of more than 300 counterfeit gang member suspects in 164 investigations.

Big Data 100

Big Data Data Groups Operations 100

Banking Exchange

FEBRUARY 8, 2021

Pandemic sees increase in amount lost to fraud, according to new data Risk Management Feature3 Feature Security AML & Fraud BSA/AML Big Data Covid19 Online Mobile Cards.

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Fraud Big Data Risk Management Report 78

PYMNTS

JULY 25, 2019

The latest Digital Fraud Tracker explores why fraudsters are still relying on phishing as a major strategy even as they increase their use of new technologies and techniques. An uptick in fraud also means a growing online fraud prevention market. And digital fraud is increasingly being targeted at the weakest links: humans.

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Fraud Analytics Security Data 172

PYMNTS

FEBRUARY 13, 2020

What is necessary, said Xie, is a different, more holistic paradigm for fighting fraud – with a broad goal of not adding more authentication steps, but fewer. The dream, the vision we have for the long term, is zero-factor authentication from a user’s point of view,” she noted. Learning to Spot the Good Customers.

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Fraud Security Analysis Data 245

PYMNTS

JUNE 27, 2018

Now, as financial institutions (FIs) embrace Big Data and the algorithms, the idea of applying context to banking transactions stands to gain more popularity and profit potential. Contextual banking, in general, can also serve as fraud prevention, he said. You can work that into a meaningful action.”.

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PYMNTS

AUGUST 29, 2016

” Paying an invoice twice is hardly the only case where expensive, custom ERP systems can fall short on catching fraud and wasting money, he added. There are even instances where an ERP system may intend to identify these anomalies, but as Zitting explained, fraud and error can slip through the cracks.

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System Fraud Software Analytics 107

PYMNTS

OCTOBER 2, 2018

Squeezed out of tried-and-true methods of card fraud (thanks in no small part to EMV), the fraudsters are eyeing how to interfere with the money that firms legitimately send in the course of normal, daily business life. Among the more prevalent criminal methods focused on business, according to Divitt: new relationship fraud.

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Fraud Course System Big Data 149

PYMNTS

JANUARY 14, 2021

One unfortunate result of this shift has been an uptick in fraud, with bad actors taking advantage of digital channels to victimize customers and retailers more easily than they could during face-to-face interactions. It turns out there was a big data breach. … How Swap.com Stomps Out Fraud.

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Fraud Miami Security Retail 143

FICO

OCTOBER 29, 2018

The recent fascination with artificial intelligence and machine learning has made some of us ( naturally intelligent) humans confused about the role that these technologies play in the broader field of fraud analytics. Fraud analytics is an umbrella term covering a lot of technologies — let’s look at the two big categories.

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Analytics Fraud Big Data Data 63

Banking Exchange

OCTOBER 14, 2019

Traditional statistical models are limited in the number of dimensions they can access Risk Management Technology Feature3 Fintech Feature Financial Research Big Data AML & Fraud Security Cyberfraud/ID Theft Profitability Performance.

Big Data 99

Big Data Risk Management Fraud Fintech 99

Bobsguide

MAY 16, 2016

In financial services, access to big data and analytics is creating a huge opportunity to improve everything from efficiency, accuracy and speed to fraud prevention. Specialising in analytics, business intelligence and data management, SAS aims to help its customers make important decisions faster,

Big Data 99

Big Data Analytics Fraud Innovation 99

PYMNTS

JANUARY 17, 2018

Of these, Big Data, blockchain and AI are integral to a successful and progressive FinTech industry.”. The company announced the financial support while noting it aims to develop its own Big Data and AI solutions and to apply blockchain, cloud and SaaS technologies into its operations as well.

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Trends Big Data blockchain Regional 116

PYMNTS

NOVEMBER 7, 2019

Fraudsters are constantly reinventing their approach to schemes, putting businesses and eCommerce merchants in a precarious position of responding to constantly-evolving fraud threats. In other words, it is no longer enough to respond to a fraud attack after it occurs. Across the Fraud Decisioning Landscape.

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Data Fraud Big Data Analytics 101

PYMNTS

DECEMBER 29, 2016

Fraud Prevention Remains Paramount. Cybersecurity and Big Data firm ThetaRay released its own predictions for banking security in the new year, with CEO Mark Gazit forecasting several trends likely to impact corporate banking in particular. The list of cyberattacks on banks from 2016 is long.

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FICO

OCTOBER 28, 2018

The recent fascination with artificial intelligence and machine learning has made some of us ( naturally intelligent) humans confused about the role that these technologies play in the broader field of fraud analytics. In the fraud management space, BI can be thought of as a descriptive performance reporter. Source: FICO Blog.

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Analytics Fraud Big Data Data 52