Abstract Security

Abstract Security is a composable SIEM and security data platform. Instead of a monolithic SIEM where collection, storage and detection are tightly bound and priced by data volume, it separates these functions into building blocks that teams can swap, scale or integrate. The company announced a $25 million growth round on its site, and markets the product as agentic and AI generated, with an AI SecOps layer on top. The platform covers four areas. A security data fabric collects from cloud, SaaS, network, endpoint and identity sources, normalizes to common or multiple schemas, enriches with asset, identity and threat context, and shapes, filters and routes data before it reaches expensive storage. Detection supports in stream analytics for real time threats, historical detection for retroactive investigation, and distributed detection that runs where the data lives. Retention lets teams place data in different tiers, and AI SecOps assists with investigation and workflows. It is aimed at security operations teams that want to modernize incrementally, keep tools that already work, reduce spend tied to ingest growth and avoid vendor lock in. Integrations are listed on the site, along with resources and a research report on underground markets for cyberattacks. Pricing is unpublished. The site has no pricing page or plan details, and access starts through a Get Abstracted contact flow, so costs must be confirmed with the vendor.