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.

Fraud 78

Fraud Big Data Risk Management Report 78

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.

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Big Data Data Software Operations 100

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.

Fraud 97

Fraud Big Data Risk Management Compliance 97

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.

Fraud 143

Fraud Data Big Data Strategy 143

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.

Big Data 60

Big Data Data Analytics Compliance 60

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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Fraud Analytics New Jersey Data 128

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

American Banker

MARCH 25, 2024

The best model would involve regulator-approved pooling of anonymized customer data. Specialized large language models should be harnessed to help financial institutions identify and halt fraudulent activity.

Big Data 37

Big Data Data Fraud Regulation 37

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.

Big Data 85

Big Data Data social media Fraud 85

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.

Fraud 118

Fraud How To Payments Big Data 118

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.

Fraud 153

Fraud Cards eBook Data 153

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.

Fraud 108

Fraud Atlanta Capital Big Data 108

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.

Fraud 112

Fraud Online Big Data Taxes 112

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.

Fraud 138

Fraud Data Payments System 138

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.

Analytics 52

Analytics Fraud Big Data Data 52

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.

Fraud 176

Fraud Wisconsin Data social media 176

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

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.”.

Fraud 113

Fraud Payments Analytics Data 113

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.

Fraud 109

Fraud Data Tools Customer Experience 109

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

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.”.

Fraud 115

Fraud Data Tools Management 115

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.

Big Data 117

Big Data Company Data Payments 117

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.

Analytics 63

Analytics Fraud Big Data Data 63

Payments Source

JANUARY 25, 2019

In recent years, new machine learning algorithms and big data have reduced fraud losses to an extent — however, their impact has been relatively limited, in part because the industry has been reluctant to use them. But the use of such technology is soon likely to become far more widespread in the U.K., and across the EU.

Fraud 67

Fraud Big Data Payments Industry 67

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.

Big Data 214

Big Data Fraud Data System 214

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

Let's Talk Payments

APRIL 19, 2016

Big data has become an immense part of any sort of sophisticated decision-making tool for financial institutions. The importance of consolidated structured records on customer financial (and not only) behavior.

Big Data 40

Big Data Data Tools Analysis 40

PYMNTS

NOVEMBER 15, 2016

New York City has a new fighting chance against the proliferation of cyber fraud in the form of a state-of-the-art, $10 million digital crime laboratory. To combat cyber crime, dedicated techs at the lab work to infiltrate the dark web, acquiring big data, gathering intelligence and building cases.

New York City 100

New York City Fraud New York Big Data 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.

Analytics 332

Analytics Data Video Big Data 332

Insights on Business

FEBRUARY 11, 2019

This is magnified by the necessity of a tailored approach while implementing payment fraud prevention as well. The purpose-built real-time ‘dual-access’ datastore for payment fraud prevention. In the past, fraud patterns generally did not change much over time. Wednesday, 5:30 PM – 6:10 PM.

Fraud 70

Fraud Management Resources Analysis 70

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.

Fraud 200

Fraud Data System Policies 200

Payments Source

MARCH 18, 2020

Big data graph analytics allow you to “drill down” into complex interrelationships among organizations, people and transactions, says TigerGraph's Todd Blaschka.

Big Data 73

Big Data Fraud Analytics Payments 73

ABA Community Banking

JANUARY 30, 2019

Bankers have a powerful, yet underutilized, tool at their disposal: machine learning data analytics Feature Technology Risk Management AML & Fraud Tech Management Operational Risk Cyberfraud/ID Theft Big Data Feature3 Fintech.

Fraud 40

Fraud Big Data Risk Management Analytics 40

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.

Data 101

Data Fraud Big Data Analytics 101

Chris Skinner

MAY 28, 2017

Things we’re reading today include … You can now set up borderless businesses and bank accounts online as e-residents of Estonia Ex-Anglo bank chief FitzPatrick cleared of fraud Democrats urge Deutsche Bank to audit accounts held by Trump and family Bank of England fat cats blew £20K of public money on four bosses’ leaving dos within weeks (..)

Big Data 171

Big Data Fraud Fintech Online 171

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.

Fraud 143

Fraud Miami Security Retail 143

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