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:
Nationwide Building Society, a leading financial institution, has seen a dramatic increase in phishing attacks. By using MarkMonito's AntiPhishing solutions they've been able to quickly shut down phishing sites, saving thousands of pounds per month.
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?
CASE STUDY:
Read this case study to learn how Sourcefire's solutions can help top credit and debit card processors, as well as companies completing far fewer online transactions, in protecting sensitive customer data from cybercriminals.
EGUIDE:
This expert Q & A session explores the challenges retailers face as they increase data collection to combat fraudulent returns and policy abuse in today’s struggling economy. Find strategic advice on how retailers can cut down on fraud and determine the necessary tools and processes that must be in place to protect customer identities.
EZINE:
This month’s issue of Information Security magazine takes you deep inside the Data Accountability And Trust Act (DATA), pending legislation that could reshape the national privacy landscape and impact the way enterprises and midmarket companies architect their security operations.
EBOOK:
Access this technical guide and learn about the standards the payment card industry uses to mitigate the problem including the costs of such standards to your business. Find out the latest info on credit card fraud, industry guidance and how to optimize your system for legitimate customers.
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.
