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Online Talk
Real-time Cyber Defence with a Streaming SIEM
Move from Batch to Real-time at Stream Scale
The growing diversity, velocity and exponential volume of security data have rendered legacy Security Information and Event Management (SIEM) technologies incapable of dealing with the current requirements of Security Operations Centers (SOCs).
SIEM is driven by three factors - scale, speed and cost. By making data streaming the entry point for your cyber data, and move the threat detection to the left you can look for threats in real-time. Pre-processing the data to enrich events brings enhanced speed of detection and resolution.
Watch this session and you will learn how to deploy the next-generation SIEMs, based on Confluent Cloud on the Quix Cloud streaming platform. Using Sigma, a generic and open signature format allows us to describe relevant log events in a straightforward manner to alert administrators in real-time as we attempt a break and enter attack.
This talk is aimed at helping non-security technologists/developers discover how capturing machine data in all infrastructure locations can be processed with ease to increase security awareness, improve security incident management and push back against consumption based pricing.
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Additional Resources
See how five organizations across a wide range of industries leveraged Confluent to build a new class of event-driven microservices
Additional Resources
Learn important stream processing concepts, use cases, and several interesting business problems.
In this talk, we’ll look at common mistakes in event-driven systems built on top of Kafka.
