Transform SecOps with DataBahn and Exabeam
Together, DataBahn and Exabeam ensure the delivery of high-quality, enriched telemetry at scale to streamline ingestion and optimize detection to help security teams detect and respond to threats faster.
What you can do with DataBahn and Exabeam
Exabeam is a next-gen SIEM built for rapid threat detection and advanced behavioral analytics. With DataBahn's platform, teams using Exabeam can focus on credible threats and respond faster with only high-value and enriched telemetry being ingested into Exabeam's New-Scale Security Operations Platform™.
Prebuilt connectors to ingest from cloud, on-prem, and hybrid sources
Reduction in log volume and Exabeam license costs
Reduction in manual effort for parsing & transformation
Supercharge your Exabeam SIEM
Enable Zero Downtime
Ensure loss-less, scalable ingestion across cloud, on-prem, and hybrid environments with Smart Edge
Standardize for Exabeam
Auto-normalize logs to Exabeam’s native format without manual mapping or transformation
Filter noise, boost precision
Automatically suppress, summarize, and filter low-value logs at the edge, reducing volume while improving signal quality
Accelerate Threat Detection
Seamlessly enrich logs with contextual metadata to strengthen detection and accelerate response
Route Smart, Store Everything
Send only relevant logs to Exabeam while streaming full-fidelity logs to cold storage for audit, forensics, or analytics.
Replay on demand
Rehydrate historical data from cold storage without reprocessing or pipeline duplication
Your starting point for all things DataBahn
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Have Questions?
Here's what we hear often
What is a Data Fabric / Data Pipeline Management Platform?
A Data Fabric is an architecture that enables systems to connect with different sources and destinations for data, simplifying its movement and management using intelligent and automated systems, a unified view, and the potential for real-time access and analytics.
Data Fabrics manage security, application, observability, and IoT/OT data to automate and optimize data operations and engineering work for security, IT, and data teams. Data Fabrics are also an umbrella term for Data Pipeline Management (DPM) platforms, which are tools and systems that enable easier collection and ingestion of data from various sources.
DPM platforms are evaluated by how many sources and destinations they can manage and to what degree they can optimize the volume of data being orchestrated through them.
What makes DataBahn different from traditional DPM tools and platforms?
DataBahn goes beyond being a data pipeline by delivering a full-stack data management and AI transformation solution. We are the leading DPM solution (maximum number of integrations, most effective volume reductions, etc.) and also deliver AI-powered improvements that make us best-in-class.
Our Agentic AI automates data engineering tasks by autonomously detecting log sources, creating pipelines, and parsing structured and unstructured data from standard and custom applications. It also tracks, monitors, and manages data flow, using backups and flagging any errors to ensure the data flows through.
Our system collates, correlates, and tags the data to enable simplified access, and creates a database that enables custom AI agent or AI application development.
Will the volume control and reduction of my tools reduce my tools' effectiveness? Is the volume reduction something I can control?
Our volume reduction functionality is completely under the control of our users. There are two modules - a library of volume reduction rules that will reduce SIEM and observability data.
Some of these rules are absolutely guaranteed not to impact their functioning (data deduplication, for example) while others are based on our collective experience of being less relevant or useful.
Users can absolutely control which data goes where, and opt to keep sending those volumes to their SIEM or Observability solution.
Ready to simplify how you work with Exabeam?
Build a cleaner, faster, and more flexible lake enriched, normalized, and ready for analysis from day one.
