AI-Native Composable SIEM for Modern Security Operations
Abstract is redefining security operations with its AI-Gen Composable SIEM, a modern, streaming-first platform built for high-volume, high-velocity data environments. Traditional SIEM solutions often struggle with scale, cost, and complexity, forcing security teams to choose between visibility and efficiency. Abstract removes that tradeoff by delivering a flexible, AI-native architecture that allows organizations to ingest, process, and analyze security data in real time without rigid pipelines or excessive overhead.
At its core, Abstract enables Security Operations Centers to move faster and operate more effectively. Its composable design allows teams to customize data pipelines, detection logic, and workflows based on their specific needs instead of adapting to inflexible systems. This approach accelerates detection engineering, improves investigations, and shortens response times. With AI built directly into the platform, Abstract improves signal quality, reduces noise, and helps analysts focus on high-confidence threats.
Founded by industry pioneers from ArcSight, Mandiant, Palo Alto Networks, and Bank of America, Abstract brings deep security expertise into a platform designed for modern SOCs. It supports a data-first strategy that helps organizations optimize telemetry usage while maintaining cost control and performance at scale.
Abstract represents a new approach to security operations. By combining streaming data architecture, composability, and AI-driven insights, it enables teams to detect threats earlier, investigate incidents more efficiently, and respond with greater precision in a rapidly evolving threat landscape