Everything you do depends on data security.

Modern fraud technology calls for a modern fraud detection approach, and that requires real-time data. Industry leaders from Capital One, RBC, and more are detecting fraud using data streaming to protect customers in real time.

Confluent implements layered security controls designed to protect and secure Confluent Cloud customer data, incorporating multiple logical and physical security controls that include access management, least privilege, strong authentication, logging and monitoring, vulnerability management, and bug bounty programs.

In our ebook “Putting Fraud In Context”, we explore the complexities of fraud detection, why current detection tools often fall short and how Confluent can help.

This whitepaper covers how to implement a real-time fraud detection solution, covering multi-channel detection and real-time data integration, real-time processing, machine learning and AI, and real-time monitoring, reporting, and analytics.

Confluent is uniquely positioned to help agencies reframe how they approach the responsibility for and the coordination of cyber defense and resilience.

How Confluent helps meet the Executive Order requirement for event forwarding and event log management in collecting, aggregating, routing, and sharing data.

Processing large amounts of data is challenging due to cost, physical size, efficiency, and availability limitations most companies face. A scalable and highly-available back-end system such as Confluent can efficiently process your company’s ever-growing volume of data.

In this webinar, you’ll learn about the latest features in Confluent Platform designed to secure data, automate operations, and scale your hybrid and multi-cloud environments.

Detecting fraudulent activity in real time can save a business significant amounts of money, but has traditionally been an area requiring a lot of complex programming and frameworks, particularly at scale.