Mastering fraud solution implementation means having a great executive sponsor and company-wide support. Key factors include leadership, clear priorities, and effective communication to ensure project success.
Overwhelmed by information overload and an ever-evolving fraud landscape? We feel the same. Let’s explore how to stay up-to-date by prioritizing foundational skills for effective day-to-day work.
Discover the keys to successful fraud solution implementation by understanding the critical roles of 'What' and 'How' in avoiding scope creep and achieving project goals.
Article explores a potentially ominous evolution of vishing, where AI-driven models could replace human call center agents, making vishing even more scalable, adaptable, and convincing.
Shift in Fraud Landscape: Account Takeover Fraud loses ground to Authorized Push Payments, raising challenges for banks in fraud detection. UK Government takes action to protect APP fraud victims, signaling potential glo
Leveraging IP addresses is a common practice in fraud mitigation. However, understanding their limitations is crucial. This article explores the technical aspects of IP addresses, the role of IPv4 and IPv6, network addre
Initially, when an organization deploys a real-time fraud prevention system, at least two responses are inherently required - Approve and Decline. But are there any other options?
Like a human fingerprint, a device fingerprint is a unique digital representation of a particular device. Lets look at how it works and where it fits in fraud-prevention?
In this blog, we return to the very foundation of fraud detection and delve into the basics of the fraud rules creation process by tackling the ATM cash withdrawal fraud scenario.
A lot of effort goes into planning and framing the scope of a new fraud management solution. It is especially tricky when the organization is going through this process for the very first time. Based on my experience fr
In the follow-up to last week's story, Milo will further widen his view on possible routes he can take. He will also realize how overwhelming it could become to improve the predictive model through additional features an
Democratization of analytics is getting the analytics tools out there - to the hands of the many as opposed to only a selected few (that had these tools in the past). Daily we are bombarded with various buzzwords related