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Abstract Security Releases AI-Powered Data Streaming Platform for Security

Helps security analysts and operations teams navigate the complexities of data pipelines, increase security effectiveness, and lower costs.

Note: TDWI's editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Abstract Security, crafted by category creators who have consistently redefined the cybersecurity landscape, have released its platform designed for the future of security operations. Already in use by customers, Abstract’s platform helps security analysts and operations teams navigate the complexities of data pipelines, increase security effectiveness, and lower costs. 

“Since the inception of Abstract, we’ve been working to combat the challenges of security operations, offering a tool that focuses on the data that matters and ties security back to business value,” said Ryan Clough, co-founder and CPO of Abstract Security. “With the explosion of data over the last few years, customers need a more customizable approach that moves beyond saved searches and dashboards.” 

A key feature of Abstract’s platform is the Abstract Security Engineer (ASE), which leverages a combination of AI, expert systems, machine learning, and subject-matter expertise and connects to data sources across an organization, delivering instant data and detection capabilities. The security data fabric approach enables:

  • Advanced analytics and correlation. Abstract’s platform enables customers to surface threats across their enterprise and cloud infrastructure in real-time. It’s powered by out-of-the-box detection content provided by the Abstract research team, which is purpose-built for cloud and SaaS threats. 
  • Security pipelines. With data routing, transformation, and enrichment geared for security telemetry, customers can reduce the volume and cost of log data sent to their SIEM. A single point of collection enables drag-and-drop routing of data to any number of sources, including cloud storage, SIEMs, and data platforms. 
  • Optimized storage. Because 95% of collected log data is not usable for detection, Abstract’s platform intelligently divides hot, warm, and cold storage tiers to automatically optimize storage and computational resource costs and make the data relevant to security analytics accessible via instant queries.

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