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:
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.
WHITE PAPER:
Leading banks use business analytics to predict and prevent credit fraud, saving millions. Retailers use business analytics to predict the best location for stores and how to stock them. But these advanced business applications tell only part of the story. What's going on inside these market-leading companies that sets them apart?
EGUIDE:
This expert e-guide highlights possible insider threat scenarios, as well as 11 security issues to consider when choosing a cloud service provider.
EGUIDE:
Blockchain technology is increasingly showing its value to business. In this 15-page buyer's guide, Computer Weekly looks at the challenges the technology still needs to overcome, how it's shaping the use of data and what it can do for information security professionals.
WHITE PAPER:
Read this white paper to learn how, by adapting a managed approach to archiving and presenting customer statements, financial services organizations can satisfy regulatory, good governance, and legal requirements.
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.
