AI in Cybersecurity
Combined Session
Friday, June 07, 2024 10:30—11:30
Location: B 09
Friday, June 07, 2024 10:30—11:30
Location: B 09
Did a John Doe make a sudden quick transaction of the entire procurement cycle from purchase requisition to purchase order to payment, very quickly than typical transactions? Did "John Doe" create the purchase requisition, while "J Doe" made the final invoice payment? The problem of finding and matching John Doe versus J.Doe is attempted in an end-to-end procurement process to detect internal fraud, based on data from ERP systems. We present an explainable AI (XAI) approach that attempts to explain to business users how certain features of data affect high-risk indicators in a procurement process. Various state-of-the-art XAI methods and novel contributions are empirically evaluated to provide an explainable AI-driven output that can be trusted by business users for actions.
With the rapid increase in online commerce, it is imperative that organisations deliver great, friction free online experiences to customers to drive brand loyalty and grow business. However malicious actors are taking advantage of this to commit fraud in many ways; from leveraging BOTs to buy up inventory, to utlizing generative AI to conduct advanced phishing campaigns to perform account takeovers - all of which erode customer satisfaction and erode brand loyalty.
In this session we will discuss how organisations can use Artificial Intelligence, passwordless authentication, and flexible journey orchestration to keep their customers safe while still delivering superior customer experiences
