Resource Library

EBOOK

AML compliance costs the industry too much. Machine learning will reduce your exposure.

How much has AML compliance cost your financial institution? With teams per institution numbering in the hundreds if not thousands, fines expected to reach $400 million be the end of the decade, and money laundering still growing at astonishing rates, the current methodology is spiraling out of control.

How does the industry tackle this?

WEBINAR

Watch this webinar and learn:
-How banks are using artificial intelligence (AI) to fight fraud.
-How banks can make their data scientists successful by arming them with fraud knowledge and giving them the best tools.
-Why Feedzai built the OpenML Engine, a data science platform that’s the first of its kind in the fraud space, giving data scientists the flexibility to build models in any language, using any library, and on any platform.

EBOOK

The problem is that the most advanced fraud-fighting vendors often constrain your data scientists with singular data science environments and proprietary frameworks.
That’s why Feedzai built the OpenML Engine. We believe your data scientists should have the flexibility to build models in any language, using any library, and on any platform. They they should be free to import these approaches to a platform that was purpose-built, from the ground up, to fight new and evolving financial crime.

WEBINAR

Watch this webinar to discover:
- Why machine learning is overthrowing rules
- The secrets to great models in fraud detection
- The key use cases in financial services that will be transformed
- And why “OpenML,” which allows data scientists to import existing data science approaches to a third party system, represents the next frontier

REPORT

This report shares Feedzai’s original research. We found that
fraudsters are attacking in methods that are faster and faster –
and continuously new. The time horizon for the future of fraud has
been shrinking. Today, the time horizon has shrunk to now.

What does this new now look like?

Download this report to find out.

EBOOK

The PSD2 transformation promises to make life better for customers. But will these changes come at a cost?
As PSD2 disrupts commerce, it threatens standard fraud prevention strategies too. We all know that fraud evolves constantly, and without an established risk plan to guide you through the new world of open banking, your organization is exposed.

EBOOK

How to fight fraud, increase business and stay competitive

It’s no secret that our push towards technological innovation in digital payments has made fraud a clear and present danger for acquirers. According to the Association of Financial Professionals, 74% of organizations have experienced attempted or actual payments fraud in 2016.

WEBINAR

Watch Aite’s Julie Conroy and Feedzai’s Phong Q. Rock discuss how FIs can apply advanced analytics to the vast amount data at their disposal and turn it into intelligence, which can help to not only reduce fraud, but also remove friction.

WEBINAR

The stakes are high as PSD2 leads the way to open banking, and as new innovators rush in to upend traditional methods. Banks face the challenge of designing new strategies to prosper in a post-PSD2 world.

REPORT

Feedzai Research continues to identify fraud patterns unique to digital commerce.
For humans these insights are Interesting. For a machine they are even something better: critical decision points that end in a recommended action.

EBOOK

Retail banks face unique challenges at the point of account opening. There’s a “thin-file problem” due to gaps in historic data, and bad digital experiences as customers travel between silos. It’s no surprise that 74% of financial institutions stated having multiple independent projects underway to improve customer experience.

EBOOK

What’s the current state of explainability in machine learning for fraud?
In this ebook, read about the critical need for an AI system that can share its thought process with us in perfectly human terms, so we can transform machine learning into machine teaching.

REPORT

In his own words, Feedzai co-founder and Chief Science Officer Pedro Bizarro talks about a new internal tool that has increased our speed of data analysis by more than 500 times, and why this new magnitude of speed is powering new kinds of insights when it comes to fraud.

EBOOK

Read this free 11-page report and get actionable insights to help you create a strategy for taking charge of the AI disruption that’s well underway.

REPORT

Download this report to learn about what questions to have in mind including how you will use transactional risk analysis, if you have the right project team in place and if you have the right API strategy.

REPORT

Download this report to learn more about the obstacles facing an in-house team of data scientists and AI engineers, why fraud detection is only the beginning, and why a model might excel in the sandbox and fail in the field.

EBOOK

Download this report to peek into the future of fraud. Learn more about precise segment-of-one profiling, explainable whitebox AI, better enterprise fraud protection, and how to future-proof data ingestion.

WEBINAR

In this webinar, learn why machine learning defeats fraud and learn Feedzai's 7-point system for maximizing your machine learning fraud detection platform.

EBOOK

Download this report to peek into the future of fraud. Learn more about how merchants can use explainable Whitebox AI, precise segment-of-one profiling, Future-proof data ingestion, and better enterprise fraud protection.

REPORT

Want to learn more about AI and Machine Learning For Banking? Learn how machine learning works and how it can be applied to risk management in banking and payments.

INFOGRAPHIC

Get a quick overview of the $32 billion dark cloud over online transactions & how to fight back with a multi-layer strategy that includes: Two-Factor Authentication, Biometrics, Location & Activity, Tokenization, & Shared Negative Lists.

REPORT

This 119 page report is for payment fraud professionals who want to get the latest up-to-date data on cybersecurity & US EMV migration, best practices in identifying fraudsters and learn the myths around machine learning.

EBOOK

Download this E-book to learn: The Four Types of Risks in Online Accounts, An Omnichannel Risk Prevention Strategy, and An Omnichannel Machine Learning Solution.

INFOGRAPHIC

See a brief history of machine learning and why the time is now to use machine learning for fraud prevention.

WEBINAR

In this webinar, Dr. Pedro Bizarro, Feedzai’s co-founder and CSO demystifies machine learning and presents the latest buzz in a straightforward fashion.

EBOOK

Learn how to eliminate high maintenance rules based engines, reduce false positives & make better decisions with machine learning basics.

CASE_STUDY

Get a quick overview of the $32 billion dark cloud over online transactions & how to fight back with a multi-layer strategy that includes: Two-Factor Authentication, Biometrics, Location & Activity, Tokenization, & Shared Negative Lists.

Contact us for a live demo.