DataBahn provides an AI-native security data pipeline platform designed to optimize how enterprises collect, process, and route security data to their SIEM and other security tools. The platform functions as a data fabric layer that sits between data sources and security infrastructure, performing intelligent filtering, transformation, and enrichment of security telemetry before it reaches downstream systems. The company's platform addresses the challenge of excessive data volumes and costs associated with modern SIEM deployments. By implementing pre-processing capabilities, DataBahn filters out irrelevant data and performs normalization and enrichment at the pipeline level. Customer testimonials indicate the platform can reduce SIEM data ingestion by up to 70% while eliminating ingress, egress, and API fees associated with cloud-based security platforms. DataBahn integrates with major SIEM platforms, particularly Microsoft Sentinel, and serves as a universal data pipeline for enterprise security data. The platform leverages AI capabilities for data processing and analysis, earning recognition from industry analysts for AI maturity in the security data pipeline space. The company raised a Series A funding round in June 2025 from Forgepoint Capital, S3 Ventures, and GTM Capital. The platform targets enterprise security teams looking to optimize their security data infrastructure, reduce operational costs, and improve the efficiency of their SIEM deployments. DataBahn's customers span various industries including energy, healthcare, financial services, and technology sectors.