PAST WEBINARS

AITE GROUP EVENTS

PAST WEBINARS

Upcoming Webinars Past Webinars

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Thursday, March 12, 2020 | 11 a.m. ET

Fraud and Financial Crime Convergence: Demanding Smarter Decisions

Both fraudsters and money launderers are constantly changing their approaches to financial crimes schemes – when their schemes are blocked, they quickly adapt with new strategies to circumvent controls. Financial institutions are investing heavily in defenses to fight financial crime, and there are...

Thursday, February 13, 2020 | 1 p.m. ET

Changing the Equation: Ensuring Faster Payments Do NOT Equate to Faster Fraud

Faster payments are the new reality in more than 40 countries, and this innovation is benefiting consumers and businesses alike. Criminals are also enjoying the speed and non-refutable nature of these transfers, and in many deployments faster payments quickly translates to faster fraud. This...

Tuesday, January 21, 2019 | 1 p.m. ET

Keeping Pace: How Identity Fraud Will Change in 2020

Identity fraud is a pervasive problem that adapts over time and keeps institutions guessing. It is difficult enough to distinguish between the different types of identity fraud without fraudsters constantly changing their techniques. Because identity fraud is so dynamic, risk managers must keep...

Tuesday, January 14, 2020 | 11 a.m. ET

Top 10 Trends in Fraud & AML, 2020: Faster, Higher, Stronger

Join Aite Group research director Julie Conroy and the Fraud & AML team for a live one-hour webinar as they identify the top 10 trends that will shape the fraud and anti-money laundering landscape around the globe in 2020 and beyond. Attend the webinar to: Learn why the...

Julie Conroy, Trace Fooshee, Chuck Subrt, Ron van Wezel

Wednesday, October 23, 2019 | 11 a.m. ET

Combating New Account Fraud with Behavioral Biometrics

New account fraud continues to grow at a rapid pace, threatening new digital banking business models and fintech platforms such as Zelle, that are in a customer acquisition race. Convenience, speed and ease of use make digital the preferred channel for consumers, but also open the door for...

Thursday, October 17, 2019 | 2 p.m. ET

The Power and Promise of Orchestration Hubs

Orchestration hubs are a buzzy topic in fraud and authentication these days, and for good reason. They enable a firm to connect to one vendor via API or on-premises integration, then access multiple point solutions for detection or authentication. Hub solutions are also capable of integrating and...

Thursday, October 10, 2019 | 2 p.m. ET

False Declines in the Age of E-Commerce: Everything Merchants Need to Know

No e-commerce merchant wants to lose money to fraud. But many fraud prevention strategies create a terrible customer experience. When good customers are falsely declined, they get angry and frustrated – and they may never return to that store. False declines cause merchants to lose not only good...

Thursday, June 20, 2019 | 2 p.m. ET

Top trends driving the future of fraud mitigation: 2020 and beyond

Fraud attacks around the globe continue to rapidly grow and evolve. Organized crime rings are successfully combining massive amounts of compromised data with automation. The result: rising account takeover, CNP, and new account fraud losses for banks, merchants, and fintechs alike. At the same time...

Wednesday, June 19 | 1 p.m. ET

Payfone Signals Prove Superior to MNO Data Alone

In Q1 2019, AT&T stopped making its MNO data available for inquiry to third-party aggregators. This decision created concern regarding coverage that would impact identity verification. Payfone taps directly into the telecom infrastructure and other authoritative identity verification sources...

Thursday, May 16, 2019 | 12 p.m. ET

AI Best Practices for Improving Enterprise Risk Outcomes at Financial Institutions

With global payments becoming more diversified, organized crime syndicates are using increasingly sophisticated means to avoid detection. As a result, fraud is mutating in complexity and growing much faster than risk teams can grow. ThePaypers, Aite Group and Feedzai will discuss how AI can combat...

Thursday, April 25, 2019 | 2 p.m. ET

Machine Learning Marvels: Key Considerations and Success Stories for Deploying ML Platforms

Whether operating independently or as part of a larger organized crime ring, today's cybercriminals aim to take advantage of lucrative opportunities. As the target of escalating attacks, financial institutions (FIs), processors, retailers, and corporations are turning to machine learning platforms...

Tuesday, April 23, 2019 | 2 p.m. ET

Playing With Fire: Why thousands of your customers might be ATO victims tonight

Breached credentials are a problem. Consumers reuse online credentials with alarming frequency, so a stolen set of credentials is likely to work across multiple organizations, possibly even yours. On top of that, traditional detection methods, like IP velocity or cookie-based device recognition,...

Thursday, March 21, 2019 | 11:30 a.m. ET

Key Trends in Payments Intelligence - Machine Learning for Fraud Prevention

Banks can drive real value to their fraud prevention strategies with machine learning and analytics if they cut through the hype. Machine learning can be made intuitive and available directly to fraud experts. A multi-faceted strategy can turn fraud prevention expertise into a revenue generator...

January 17, 2019 | 11 a.m. ET

Top 10 Trends in Retail Banking & Payments, 2019: Disruption Is the New Normal

Join Aite Group research director Julie Conroy and her expert team for a one-hour webinar as they identify the top 10 trends that will shape the retail banking and payments landscape around the globe in 2019 and beyond. Attend the webinar to: Hear how online payment facilitators are...

David Albertazzi, Julie Conroy, Tiffani Montez, Jamie Regehr, Ron van Wezel

October 30, 2018 | 2 p.m. ET

Tackling Synthetic Identity Fraud Head-On

Synthetic identity fraud – the act of creating a fake identity to access goods or services – has become a top-of-mind threat for many American financial institutions. Recent research from the Aite Group suggests that synthetic identity fraud losses equate to 20-30% of all credit write-offs,...

September 25, 2018 | 2 p.m. ET

Using Machine Learning to Orchestrate Complex Authentication Decisions

In a digital-first world, there's an increased demand for multiple-outcome decisioning, as fraud and risk management is no longer a linear balance of good versus bad. Financial institutions are solving for multiple priorities, including customer expectations, frictionless experiences, fraud, and...

September 11, 2018 | 2 p.m. ET

Improve Customer Experience with Intelligent Adaptive Authentication

Banks, lenders, and other financial service organizations are facing significant pressure to mitigate fraud; unfortunately, there’s a misconception around adding security layers and the impact that it could have on the customer experience. One powerful solution to this dilemma is intelligent...

August 16, 2018 | 12 p.m. ET/9 a.m. PT

Fight back: Preventing Account Takeover Attacks

Data breaches occur daily. You see it daily in the news. According to PrivacyRights.org 471 Million records have been breached in 2018 alone; 10Billion records since 2005. And these are just the reported data breaches. As a result, account origination and account takeover attacks are on the...

June 28, 2018 | 2 p.m. ET

AML Transaction Monitoring for Banks with IdentityMind 2.0

You know what you need to do to make your AML program a success. But, the gap between what you know you need and what you can deliver relegates those plans to the wish list. You’ve tried connecting different systems and data sources but find yourself stuck with a limited system that cannot...

May 23, 2018 2:00 PM ET

New Account Fraud: Financial Infinity War

Fraudsters are currently winning the war on the new account fraud battlefront, with losses mounting for U.S. financial institutions, lenders, fintechs, and other businesses. Organized criminals have plenty of weapons in their arsenal, ranging from vast quantities of breached data to carefully...

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