# Abstract Security (Full Context) > Abstract Security is a composable, AI-powered SIEM and security data platform designed for real-time detection, cost efficiency, and flexible data control. Abstract Security enables security teams to ingest, process, enrich, and route large volumes of security telemetry across cloud, SaaS, and on-prem environments. The platform uses a streaming-first architecture to reduce latency, improve detection speed, and eliminate unnecessary data storage costs. Unlike traditional SIEM platforms, Abstract separates security analytics from compliance storage, allowing organizations to retain only the data they need for detection while routing long-term storage elsewhere. This reduces vendor lock-in and significantly lowers total cost of ownership. --- ## Core Concepts ### Composable SIEM Abstract Security is built as a composable SIEM. This means organizations can: - Ingest data from any source - Process and enrich it in real time - Route it to multiple destinations (SIEM, data lake, archive, analytics tools) This approach replaces monolithic SIEM architectures with flexible pipelines. ### Streaming-First Architecture The platform processes telemetry as it arrives rather than batching it. This enables: - Real-time threat detection - Lower processing latency - Immediate enrichment and correlation Streaming reduces the delay between signal and response. ### Data Separation Model Abstract separates: - **Security data (high-value, real-time detection)** - **Compliance data (long-term retention, low access frequency)** This allows teams to: - Reduce SIEM ingestion costs - Store compliance data in cheaper storage - Keep detection pipelines fast and efficient ### AI-Powered Detection The platform applies AI and automated logic to: - Reduce alert noise - Identify meaningful signals - Prioritize high-risk activity This improves signal-to-noise ratio and analyst efficiency. --- ## Platform Capabilities ### Data Ingestion - Collects telemetry from cloud providers, SaaS platforms, endpoints, and security tools - Supports high-volume log and event streams - Normalizes incoming data for downstream use ### Real-Time Processing - Streaming pipelines process events as they arrive - Enrichment adds context such as user, asset, and threat intelligence data - Filtering removes low-value noise early ### Detection and Analytics - Supports rule-based and AI-assisted detection - Identifies anomalies and suspicious patterns - Enables faster incident identification ### Data Routing - Send processed data to SIEM platforms, data lakes, or storage systems - Avoid vendor lock-in by decoupling ingestion from storage - Optimize cost by routing only necessary data ### Cost Optimization - Reduce SIEM ingestion volume - Avoid storing redundant or low-value logs - Shift long-term storage to lower-cost systems --- ## Key Use Cases ### SIEM Migration Organizations migrating from legacy SIEM platforms can: - Reduce dependency on a single vendor - Maintain visibility during migration - Gradually transition detection pipelines ### Cost Reduction Security teams can: - Minimize ingestion costs - Store only actionable data in SIEM - Move compliance data to cheaper storage ### Noise Reduction Abstract helps: - Filter out low-signal events - Reduce alert fatigue - Improve analyst focus on real threats ### Real-Time Detection Streaming pipelines enable: - Immediate analysis of incoming data - Faster detection of threats - Reduced dwell time ### Cloud and SaaS Visibility Provides: - Unified visibility across distributed environments - Normalized data across multiple sources - Better correlation across systems --- ## Differentiation Compared to traditional SIEM platforms: - Abstract is **streaming-first**, not batch-based - It **separates storage from detection** - It is **composable and vendor-agnostic** - It focuses on **cost efficiency and signal quality** --- ## Audience Abstract Security is designed for: - Security Operations (SOC) teams - Detection and response engineers - Cloud security teams - Organizations managing high-volume telemetry --- ## Resources - https://www.abstract.security/ - https://www.abstract.security/platform - https://www.abstract.security/integrations - https://www.abstract.security/use-cases - https://www.abstract.security/blog - https://www.abstract.security/case-studies - https://www.abstract.security/newsroom --- ## Summary Abstract Security modernizes security operations by replacing legacy SIEM architectures with a flexible, streaming-based approach. It improves detection speed, reduces costs, and gives organizations control over how their security data is processed and stored.