San Francisco – Abstract Security, which provides streaming-first security data operations, has 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 and multi-cloud complexity accelerates, 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 an architectural reset,” said Colby DeRodeff, Co-Founder and CEO of Abstract Security. “AI isn’t a feature bolted onto a legacy platform. It has to 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 theis the future.”

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 near 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, AI-GEN Composable SIEM allows enterprises to choose their architecture, deployment model, and analytics engines without sacrificing performance or control. Abstract provides all customers and partners with white glove customer service and zero friction.

“What stands out about Abstract is not just the performance, but the flexibility,” said Errol Weiss, Chief Security Officer at Health-ISAC. “AI-GEN Composable SIEM gives security teams architectural control while accelerating detection and reducing operational friction. That’s a rare combination.”

From Signal to Scale

Abstract enters 2026 under the theme Signal to Scale, reflecting the company’s focus on expanding adoption of the AI-GEN model across enterprise and regulated markets.

Security leaders are increasingly prioritizing data strategy as the foundation of effective AI-driven security operations. By shifting analytics left into the data stream and embedding AI natively into detection and response workflows, Abstract customers report:

  • 65–75% reduction in SIEM-related costs
  • Faster mean time to detect (MTTD)
  • Faster mean time to respond (MTTR)