Confluent’s solution for cybersecurity augments your existing SIEM and SOAR solutions to deliver contextually rich data, automate and orchestrate threat detection, reduce false positives, and transform the way you respond to threats and cyber attacks in real-time.
"As cyber threats continuously grow in sophistication and frequency, companies need to quickly acclimate to effectively detect, respond, and protect their environments. At Intel, we’ve addressed this need by implementing a modern, scalable Cyber Intelligence Platform (CIP) based on Splunk and Confluent. We believe that CIP positions us for the best defense against cyber threats well into the future.“
Brent Conran, Chief Information Security Officer
SIEM is driven by three factors - scale, speed and cost. The growing diversity, velocity and exponential volume of security data have rendered legacy SIEM technologies incapable of dealing with the current requirements of Information Security (InfoSec) teams and Security Operations Centers (SOCs). Most organizations now realize that they need to be more independent from any given SIEM vendor, and have the ability to leverage multiple tools and analytic destinations.
Combine the best real-time streaming data infrastructure and your cybersecurity platforms to break down silos and deliver contextually rich data to be more situationally aware. With Confluent, you can gain world-class data ingestion and real-time analytics while optimizing for cost and scale.
Design a next-gen cybersecurity data infrastructure with a real-time SIEM pipeline.
Curate, enrich and normalize data to enable threat detection and data engineering at the edge or point of collection for contextually rich insights.
Mitigate the impact of increasing data storage and analysis costs that force tradeoffs between cost, flexibility and visibility.
Gain unprecedented flexibility to choose your own data destiny, regardless or source or destination, eliminate lock-in and enable best of breed.
Utilize a broad array of source and sink pre-built connectors to easily connect and move data in and out of popular systems.
Transform and enrich your data in-stream by continuously processing them with ksqlDB and Single Message Transforms.
Retain and store data for extended periods of time for analytic engines that may want to look at months of events with infinite storage.
Minimize the risk of security breaches and downtime with RBAC, Audit Logs, and Secret Protection.
Build a persistent bridge to enable real-time data interoperability everywhere, on-prem, in the cloud or on the edge.
Design a flexible architecture to integrate new sources or targets by decoupling point-to-point integrations.
Datadog uses Kafka as their underlying messaging technology, ingesting data across trillions of data points per day.
New Relic uses Kafka to easily build real-time monitoring and observability pipelines with real-time alerts.
SignalFX uses Kafka for modern monitoring and analytics that processes hundreds of thousands of messages per second.
Honeycomb processes large influxes of event traffic by leveraging Kafka to safely publish and ingest messages between distributed systems.
Salesforce built an enterprise-ready, event-driven layer with Kakfa for delivery and ordering guarantees in a secure, multitenant system.
Elastic and Confluent Technical Reference Architecture
Seamless SIEM: Osquery Event Log Aggregation
Seamless SIEM: Anomaly Detection with Machine Learning and ksqlDB
Building a Modern, Scalable Cyber Intelligence Platform at Intel
Learn more about how Confluent's complete, fully managed event streaming platform is revolutionizing the way businesses achieve real-time data management, insights and analytics across a wide variety of use cases.