Botnets are on the rise. As a force for good, bots perform common cognitive interactions with digital end-users every day. But unscrupulous fraudsters are using these same tools to commit fraud and steal millions. Let’s take a peek at the ever-increasingly sophisticated bot, how it’s impacting your business—and how you can fight back. Are Bots […] The post How AI Can Protect You from a Bot Attack [+ FREE DOWNLOADABLE EBOOK] appeared first on DataVisor.
Fraud has always been insidious, but modern fraudsters have more sophisticated techniques than their predecessors. Today’s on-demand, instant-access world is a veritable playground for bad actors that use advanced tools in their arsenals to infiltrate customer accounts and impersonate good customers. As customers embrace an omnichannel experience with businesses, the opportunities for fraud to occur […] The post How to Deliver Continuous Protection Across the Entire Customer Lifecycle appeared first on DataVisor.
It’s no secret that flights can be expensive. So when airlines offer great deals, it’s a tough opportunity to pass up. This isn’t just a head-turner for travelers, however; fraudsters are also taking advantage of low airfare deals and turning them into their own revenue streams. This was the case for a discount airline based […] The post How One Airline Prevented Fraud from Taking Flight: An Interview with DataVisor’s Randall Maddern appeared first on DataVisor.
Financial institutions (FIs) use models to address a variety of business needs. Models serve to bring vague or intangible ideas to life by illustrating concepts and data, which are then used to inform and streamline management decisions. For all their benefits, introducing models into the management structure also introduces a new source of risk. When […] The post A Guide to Model Governance for Financial Institutions: Q&A with Kaila Cappello appeared first on DataVisor.
Read this case study to learn how DataVisor detected millions of fraudulent accounts with 99%+ accuracy.Save to Library
Read this case study to learn how DataVisor detected an additional 30% of fraudulent accounts on top of the bank’s existing in-house detection solution.Save to Library
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