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.
EGUIDE:
For businesses, the ability to deal with big data is important: it can bring companies significant business value, from enabling cost optimization and improved efficiency to providing better customer insight. In this article, we'll explore 8 use cases that show big data's profound impact on businesses across different industry sectors.
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:
Cybercriminals have several methods at their disposal to hack and exploit credit card information. Learn about these, how to prevent them and what to do when hacked.
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:
A security intelligence platform is a key element for fighting the many threats the financial institution faces, and this white papers describes on such platform.
WHITE PAPER:
This guide makes an effective business case for fraud-prevention technology and evaluates the true impact of fraud on various financial institutions.
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.
