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Online Talk

Why Your Fraud Detection and Security Tools Need Data Streaming (India)

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A conversation with Forrester

03 August | 11:30am IST

With fraud growing at exponential rates and costing financial firms billions of dollars in losses, we take a deeper look into the role timely data and real-time context plays in risk analytics and fraud mitigation.

Join us on Thursday, 3 August to hear Forrester to talk about:

  • Powering cyber and fraud intelligence with streaming analytics—an analyst perspective
  • Challenges of determining a single source of truth across multiple security and fraud analytics
  • Taking fraud decisioning to the next level with advanced AI/ML

Listen in on How Data Streaming is Shifting the Defense to Offense In this webinar, guest speaker Stephanie Balaouras (Forrester) shares her thoughts on the industry shift to real-time data streaming strategies for fraud intelligence and smarter decision-making and response.

Real-time Agility and Enterprise-wide Insight are Needed Now A higher level of fraud protection lies in accessing real time insights. Each attempted transaction, each blocked interaction, each series of events presents a constant source of intelligence for security monitoring and fraud analytics tools. Until now, asynchronously processing colossal volumes of data to gain risk insights and end-to-end fraud detection was an enormous challenge. With data streaming, firms can now unify, access, analyze, enhance, and act on data from multiple sources in real time and respond with an all-new level of insight, intelligence, and agility.

Vijay is a Staff Solution Engineer with Confluent. In his current role he focusses on helping customers in India use confluent effectively. Before Confluent Vijay has been with a number of organizations including Imply, Cloudera and Informatica in both Solutions engineering and Product management roles

Additional Resources

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Confluent Cloud Demo

Join us for a live demo of Confluent Cloud, the industry’s only fully managed, cloud-native event streaming platform powered by Apache Kafka
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Kafka Microservices

In this online talk series, learn key concepts, use cases and best practices to harness the power of real-time streams for microservices architectures
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e-book: Microservices Customer Stories

See how five organizations across a wide range of industries leveraged Confluent to build a new class of event-driven microservices