Legacy SIEM architectures are hitting cost and scalability limits as AI-driven threats generate unprecedented data volumes. CISOs are responding by building Open Security Lakes using Apache Iceberg as an open table format, decoupling data storage from vendor-proprietary analytics. This approach lets organizations own their data, bring any compute engine to it, and avoid lock-in. A data streaming platform acts as the central nervous system, routing high-volume logs, applying real-time threat detection via open standard rules, and reducing downstream SIEM costs by 30–50%. SIEM doesn't disappear but becomes focused on high-value analysis, while the security lake handles forensic data at scale. Confluent's Tableflow and Freight clusters are positioned as key enablers of this architecture.
Table of contents
The End of the Proprietary SiloThe New Data Supply ChainBreaking the Cost Curve With Freight and WarpStreamShifting Detection Left With Apache Flink ® and SOC PrimeZero-ETL Security Lakes With TableflowThe Goal: A Smarter EcosystemJoin the Conversation at RSASort: