Everything you do depends on data security.

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.

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.

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.

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.

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 security tools and features in Confluent Platform designed to protect your streaming Kafka data across on-premises or hybrid environments, so you can launch faster while upholding strict security and compliance requirements.

In this webinar you will hear from industry experts on how real-time data streaming is advancing fraud detection and driving smarter decision-making across the Financial Services industry.