EGUIDE:
Machine learning (ML) enables businesses to perform tasks on a scale previously thought impossible. As a result, many organizations are finding ways to harness ML to not just drive efficiencies but to fuel new business opportunities. Here are 10 applications of ML that are being used to solve problems & deliver tangible business benefits:
CASE STUDY:
Entraction has no reservations about the effectiveness and efficiencies that are possible using device fingerprinting paired with device reputation; this is real data pulled from the user's computer, coupled with fact-based evidence of fraud from that computer's past. Read this case study to learn about how Entraction is fighting fraud.
WHITE PAPER:
This paper discusses the ways that identify and social network analysis can help you prevent fraud and enable compliance by focusing not only on transactions, but also on person and groups and how they are related. Learn the requirements for a proactive fraud detection systems, and how ongoing data analysis can alert you to the need for action.
WHITE PAPER:
Over the past 20 years, financial institutions, governments, insurers and retailers have seen an explosion in the amount and types of fraud perpetrated against them.
EGUIDE:
Following a number of attacks on the SWIFT banking system that led to the theft of millions of dollars, SWIFT promised new rules to improve security for bank transfers. In this e-guide, we examine these targeted malware attacks and explore SWIFT's response to them. Find out if their 5-part strategic program was enough to bolster security.
WEBCAST:
This webinar will go through the most critical challenges faced by mid-market companies, and illustrate how collecting and analyzing event data across the enterprise can address those challenges in the context of budget and staff constraints.
WHITE PAPER:
InfoSphere Guardium is a key part of the IBM InfoSphere portfolio. IBM InfoSphere software is an integrated platformfor defining, integrating, protecting and managing trusted information across your systems.
