Abstract Security

The Complete Data Platform For Security

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Description

Abstract Security is a comprehensive data platform designed to revolutionize security operations. It empowers security teams by abstracting away the complexities of data management, allowing them to focus on detecting and responding to threats more effectively. The platform achieves this by offering a suite of tools for real-time data processing, normalization, and enrichment, ultimately simplifying data to amplify security insights.

Key functionalities include robust noise elimination to reduce data volume before it reaches destinations, and seamless migration capabilities between Security Information and Event Management (SIEM) systems, supported by real-time normalization to the Open Cybersecurity Schema Framework (OCSF). Abstract Security features a no-code, drag-and-drop interface, making sophisticated data operations accessible without requiring query language expertise. The platform also incorporates an AI assistant, ASE (Abstract Security Engineer), to help create filters using plain English and provide summarized insights. Furthermore, it offers capabilities for PII (Personally Identifiable Information) masking, integration with various cloud data sources, and advanced threat intelligence through its Abstract Intel Gallery, ensuring comprehensive security coverage and operational efficiency.

Key Features

AI-Powered Data Operations: Utilizes an AI assistant (ASE) for natural language filtering, AI-driven log normalization, and summarized insights to simplify complex security data tasks.
Noise Reduction & Cost Optimization: Eliminates unnecessary noise from data streams in real-time before routing, significantly reducing ingestion costs and alert fatigue.
Seamless SIEM Migration & Interoperability: Enables easy migration between SIEMs with real-time normalization to OCSF schema, ensuring vendor-agnostic data architecture and avoiding lock-in.
No-Code Security Data Management: Features a drag-and-drop interface for managing security data pipelines without requiring coding or query language expertise.
Comprehensive Threat Intelligence & Detection: Integrates multi-source threat intelligence via Abstract Intel Gallery (including in-house ASTRO feed) and uses streaming analytics against IOCs for real-time threat identification.
Automated PII Masking: Automatically finds and masks sensitive Personally Identifiable Information (PII) before data routes to any destination, preventing leaks.
Unified Cloud Data Integration: Collects, optimizes, and normalizes data from major cloud sources (e.g., AWS CloudTrail, Azure Activity Logs, GCP Audit Logs) in real-time for enhanced cloud visibility.