Abstract has introduced AI-Gen Composable SIEM, a new architectural model designed for AI-native, streaming-first security operations. The platform shifts away from traditional monolithic SIEM structures toward a modular system where data ingestion, detection, storage, AI triage, and response operate as composable building blocks, enabling greater flexibility and real-time analysis across modern cloud and hybrid environments.
The launch follows a period of significant growth for Abstract, including strong year-over-year expansion in revenue and customer adoption. By embedding AI directly into the security data pipeline and enabling in-stream detection, the AI-Gen Composable SIEM model aims to reduce operational friction, improve detection and response times, and give enterprises greater control over their security architecture as data volumes continue to scale.