Hybrid Customers and Hybrid Attacks: What’s Going On?

Fraud
Attack Types
Dave Senci -- Mastercard; Rosemary O'Neill -- NuData Security
Nov 03, 2021
Webinars
It used to be simple: Consumers interacted either offline or online. Attacks were either automated or by a human. It’s not quite like that anymore. 

Thanks to the recent digital acceleration, users have more ways to interact now than ever before; accessing more services and, in doing so, combining online and offline activities. However, attacks have also evolved, blurring the divide between scripted and human attacks and using multiple placements as part of the same scheme to stay under the radar of most security tools.

Join us to understand what’s going on in the new digital landscape by looking at trends and attacks within the NuData network. Learn how to apply the findings to your own platform to be ready for this new post-pandemic reality.

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Related Resources

Mar 08, 2023
First-Party Fraud: What It Is, and What It Isn’t

The fraud prevention industry is peppered with hundreds of vendors who mainly solve for third-party identity theft fraud. Some vendors branch out into synthetic fraud, including manipulated or fabricated identities, yet very few vendors tackle first-party fraud. First-party fraud is defined as the use of one’s own identity to open an account and use it to commit a dishonest act for personal or financial gain. It remains an elusive problem because there are no consumer victims in chargebacks, disputes, or overdraft fraud. Moreover, when it comes to the granular semantics of first-party fraud, different opinions start to clout the agreed-upon definition, making it difficult to classify, pinpoint, and ultimately combat these dishonest acts. 

Join this session to hear from industry experts about: Where do manipulated identity or rewards gaming abuse fall on the spectrum between first-party and synthetic fraud?  How do these categorizations differ by industry? In what ways do our assumptions around these semantics turn into ineffective proxies for first-party fraud?  How can we differentiate between a consumer’s intent to commit a dishonest act, versus a consumer who was manipulated into a dishonest act, versus a consumer making an honest mistake? 

The key is context. We need to understand a consumer’s act in context of other financial decisions they’ve made across various life stages, across different financial institutions, and across various economic environments. Behavioral anomalies across time and space will serve as better proxies in determining whether a consumer is a true first-party fraudster or whether new socio-economic conditions or happenstance interactions with malicious actors have resulted in a first-party-like occurrence. 

In order to achieve this level of context, a multi-industry data consortium is required. Consumer transactional behavior can then be analyzed across the financial ecosystem, over time, to correlate actions with true first-party fraud and to promote an ecosystem of trust.

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