DataBahn.ai is a cybersecurity software company specializing in advanced data management for Security Operations Centers (SOC). DataBahn.ai develops a Security Data Fabric platform that streamlines how organizations handle, ingest, and govern vast amounts of security data by decoupling traditional processes from legacy platforms like SIEM and Security Data Lakes.
The platform is designed to address the complex challenges of cybersecurity big data, with a focus on efficiency and cost savings. DataBahn.ai's technology allows only pertinent, high-value data to be routed to downstream security tools, which improves data quality, governance, and speeds up threat analysis. By federating data and eliminating the need for expensive platform subscriptions and licenses, their solution helps organizations significantly reduce operational costs—customers have reported up to a 40% reduction in SIEM expenses within the first month of deployment.
Key components of the Security Data Fabric framework include:
- Streamlined data collection across cloud and on-premise sources
- Intelligent data orchestration and observability for improved monitoring
- Proactive security controls and analytics for better security posture
- Support for custom AI model integration and proprietary Security Data Lakes, ensuring full data ownership and privacy
- Resilient edge collectors replacing outdated log collectors for more robust infrastructure
This approach not only enhances the efficiency of SOC teams but also reduces tool sprawl and infrastructure complexity. Clients such as Abraham Selvaraj leverage DataBahn.ai to build resilient, scalable, and cost-effective security operations.
How was DataBahn.ai started?
DataBahn.ai was founded in Dallas, Texas, by a team with deep expertise in cybersecurity, enterprise architecture, and data engineering. The leadership includes:
- Nanda Santhana (CEO), a cybersecurity visionary and board member at Sessions Guardians
- Nithya Nareshkumar (Co-CEO), with extensive experience in financial services and leadership roles at DTCC and J.P. Morgan
- Aditya Tirumalai Sundararam (Head of Product), expert in cyber threat analytics
- Mihir M. Nair (Head of Field Engineering and Architecture), with a background in cloud and security solutions
- Praful Ilamkar (Head of Engineering), specializing in SIEM and cloud-based engineering
- Dina Kamal (Field CTO/Canada GM), former Deloitte partner with a focus on AI and technology transformation
- Yash Jagdale (Distinguished Data Engineer), expert in data management and DevOps
- Senior advisors include Chris Inglis (former U.S. National Cyber Director), Patrick Gorman (former EVP, Booz Allen Hamilton), Robert N. Rose (former DHS and NSA advisor), Rob Palatnick (former DTCC CTO), Mandy Andress (CISO, Elastic), and James Beeson (Cyber Advisors, LLC)
Who uses DataBahn.ai?
DataBahn.ai primarily serves enterprises and organizations seeking to optimize and secure their large-scale security data environments. Their platform is especially suited for companies with complex cloud and hybrid infrastructure, as well as those looking to modernize SOC operations and reduce data management costs. Named customers include Abraham Selvaraj.
What makes DataBahn.ai different?
Unlike traditional SIEM and security data platforms, DataBahn.ai’s solution emphasizes federated data management, ownership, and cost control. Their Security Data Fabric framework enables organizations to:
- Retain full control and visibility over their security data
- Integrate custom AI models for advanced analytics
- Establish their own Security Data Lakes without vendor lock-in
- Realize rapid cost savings and infrastructure resilience
You can learn more about their team and approach on their About page.
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