Abstract, the leader in streaming-first security data operations, announced the launch of AI-Gen Composable SIEM, a new architectural standard for modern security operations built natively for AI, streaming data, and modular control.
As security data volumes grow 25–30% annually, driven by AI exhaust and multi-cloud complexity, traditional SIEM platforms have struggled to keep pace. AI-Gen Composable SIEM represents a fundamental shift away from monolithic architectures toward a modular, streaming-first model where ingestion, pipelines, storage, detection, AI triage, and response operate as composable building blocks.
“Next-Gen SIEM was an iteration. AI-Gen is a fundamental architectural reset,” said Colby DeRodeff, Co-Founder and CEO of Abstract. “AI isn’t a feature bolted onto a legacy platform. It must be embedded across the data pipeline from ingestion to detection to investigation. We built Abstract as AI-Gen from day one. The market validated that vision with 380% ARR growth last year. Now we’re formalizing what customers already know: composable, AI-native security operations are the future.”
Also Read: Quantonation Closes €220 Million Second Fund to Back the Industrialisation of Quantum and Physics-Based Technologies
What AI-Gen Composable SIEM Means
AI-Gen Composable SIEM introduces a system-of-systems architecture that enables organizations to:
- Decouple data sources and destinations to eliminate vendor lock-in
- Run detections in-stream for real-time threat response
- Tier and route data intelligently to reduce storage costs
- Embed AI across workflows for triage, investigation, and response
- Scale elastically across multi-cloud and hybrid environments
Unlike legacy platforms that centralize all functionality into a single stack, Composable means enterprises can choose their architecture, deployment model, and analytics engines without sacrificing performance or control.
“As a day-one investor, I saw early that Abstract wasn’t trying to compete in the legacy SIEM category. They’re building the platform to redefine it,” said Matt Bigge, Partner at Crosslink Capital. “This launch marks an important milestone in what I believe will be a generational shift in how enterprises approach security data and detection.”
“Security leaders in highly regulated environments cannot afford architectural constraints,” said Marco Maiurano, Chief Information Security Officer at Mizuho and Advisor to Abstract. “As data volumes expand and workload per analyst increases, platforms must deliver both adaptability and governed AI assistance at scale. A composable, streaming-first model represents a necessary evolution for modern security operations.”
SOURCE: PRNewswire