EGUIDE:
AI is involved in many cybersecurity processes. Now, AI has its sights set on improving the fraud detection and management landscape. In this e-guide, learn about the use cases, as well as the benefits and challenges organisations should keep in mind when implementing AI into their fraud detection and management processes.
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:
INFOGRAPHIC:
Business Email Compromise (BEC) attacks typically target individuals with access to financial records and other sensitive information. However, BEC prevention involves making everyone more aware of email security risks and social engineering red flags. Here are 7 things to look out for when identifying a BEC attack.
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.
WEBCAST:
View this webcast to explore an intelligent investigation platform that proactively investigates, prevents, detects, and discovers fraud cases.
WHITE PAPER:
Find out how flexible authentication schemes, context-based access and behavioral analysis can help ensure that only authorized mobile users can access your valuable resources—on-site, in the cloud and beyond.
WHITE PAPER:
In this case study, Bouygues Telecom uses an analysis platform to help it proactively uncover online and in-store fraud by consumers, dealers and organized crime groups, and prevent the subsequent loss of products and revenue.