Abstract unveils AI-Gen composable SIEM

Abstract has introduced its AI-Gen Composable SIEM, a new addition to its security operations platform. The release aligns with the company’s focus on modern security architectures that use AI and streaming data to support threat detection and response.

The AI-Gen Composable SIEM differs from traditional monolithic SIEM platforms by using a composable architecture designed to provide greater flexibility and scalability. The system enables organisations to:

• Decouple data sources and destinations to reduce dependency on specific vendors.
• Enable real-time threat response through in-stream detections.
• Optimise storage costs by tiering and routing data.
• Embed AI within workflows for triage and investigation.
• Scale across multi-cloud environments.

This architecture allows organisations to configure security systems according to their operational requirements while maintaining performance and control.

Abstract’s 2025 performance metrics provide context for the launch:

• 380% year-over-year ARR growth
• 280% increase in new customer acquisition
• 264% increase in net revenue retention
• Strategic hiring to expand enterprise outreach

According to the company, these figures reflect increased demand for solutions designed to manage growing volumes of security data.

As data volumes increase due to multi-cloud environments and AI-related workloads, organisations face challenges with traditional SIEM systems. Abstract’s platform is designed to support security operations through:

• Composable architectures that allow customised deployment models
• AI-driven reductions in SIEM-related costs of up to 75%
• Faster detection and response times for security threats

The launch reflects broader efforts within the industry to integrate data strategy more closely with security operations. Abstract’s platform is intended to support organisations managing complex digital environments and evolving threat landscapes.

Founded in 2023, Abstract develops security operations technologies focused on AI-enabled and streaming-based data architectures. The company provides solutions designed for enterprise security teams operating in distributed and multi-cloud environments.