Abstract Security provides a one-click data lake solution that separates security and compliance data, optimizing storage costs and enhancing detection capabilities. Their technology enables security teams to efficiently manage data without the complexities of traditional ETL processes, resulting in faster threat detection and improved operational efficiency.
Funding
$23.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Security teams struggle with the complexity and cost of managing large volumes of security and compliance data, often relying on traditional SIEM solutions that require extensive data engineering and offer limited detection capabilities. Building and maintaining data lakes for security analytics is complex, and much of the collected log data is not usable for effective threat detection.
Solution
Abstract Security provides a security data operations platform that simplifies the management and analysis of security data. The platform bifurcates security and compliance data, optimizing storage costs and enabling faster threat detection. It offers managed data pipelines and a one-click data lake solution, eliminating the need for complex ETL processes and reducing the operational burden on security teams. Abstract Security's ASE (Abstract Security Engineer) leverages AI, expert systems, and machine learning to analyze enterprise data and improve detection effectiveness.
Target Audience
The primary target audience includes security teams, security analysts, CISOs, and security engineers who are seeking to improve their threat detection capabilities, reduce data management complexity, and optimize storage costs.
Features
- Data bifurcation for optimized storage and compliance
- Managed data pipelines for efficient data onboarding and transformation
- One-click data lake deployment on a privacy-first architecture
- Real-time streaming correlation and machine learning-driven analytics
- Pre-built and user-defined detection rules
- AI-powered Abstract Security Engineer (ASE) for data analysis and detection improvement
- No-code data onboarding, management, and transformation