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On the recordRead 9 Oct 202621 facts
DataBahn
The About Us page lists headquarters at One Legacy West, Suite 390, 7950 Legacy Drive, Plano, TX 75024.
On the record
- AI access governance
- MCP Hub provides centrally governed agent permissions and records agent calls in an audit trail.databahn.ai · read 9 Oct 2026
- AI agent access
- AI agents connect to enterprise systems through MCP Hub over the Model Context Protocol, with permissions and auditing.databahn.ai · read 9 Oct 2026
- Capacity
- The platform page states throughput of 100+ TB per day and describes loss-less collection with failover and error correction.databahn.ai · read 9 Oct 2026
- Data handling
- DataBahn says it normalizes streamed telemetry to schemas including ASIM, OCSF, CIM, and UDM, and adds threat intelligence and user, asset, identity, and geographic context.databahn.ai · read 9 Oct 2026
- Data pipeline
- Its Data Pipeline collects, prepares, enriches, governs, and routes telemetry to destinations.databahn.ai · read 9 Oct 2026
- Deployment
- Listed deployment models are SaaS, self-managed cloud, hybrid, or completely on-premises.databahn.ai · read 9 Oct 2026
- Federated search
- Federated Search & Orchestration searches connected data stores without centralizing the data and supports natural-language, AI-assisted investigation.databahn.ai · read 9 Oct 2026
- In-stream intelligence
- Purpose-built AI agents monitor data quality, detect gaps and schema drift, validate policy, and act on telemetry in motion.databahn.ai · read 9 Oct 2026
- Integration examples
- The integration directory lists Microsoft 365 Defender, Jira, Palo Alto Networks, Cloudflare, CyberArk, and ThreatLocker integrations.databahn.ai · read 9 Oct 2026
- Integrations
- The platform page lists 700+ prebuilt integrations and AI-generated connectors for new sources.databahn.ai · read 9 Oct 2026
- Intended users
- DataBahn describes its platform for security, observability, and AI teams, including enterprise data and security teams.databahn.ai · read 9 Oct 2026
- Model choice
- DataBahn says customers can bring their own model and use customer-owned keys.databahn.ai · read 9 Oct 2026
- Purpose
- DataBahn controls telemetry for security, observability, and AI by preparing, governing, and routing data or searching it in place.databahn.ai · read 9 Oct 2026
- Scale
- The platform page lists throughput of 100+ TB per day.databahn.ai · read 9 Oct 2026
- Security controls
- Listed controls include encryption in transit and at rest, role-based access control, audit logging, per-tenant isolation, sensitive-data masking, and policy enforcement.databahn.ai · read 9 Oct 2026
- Sensitive data
- DataBahn says it can detect and mask sensitive fields in motion before data reaches a destination, and quarantine private data.databahn.ai · read 9 Oct 2026
- Supported schemas
- Its normalization supports common schemas including ASIM, OCSF, CIM, and UDM.databahn.ai · read 9 Oct 2026
- Trial or pricing
- The maker's pages invite visitors to request a demo or personalized test drive; the opened pages do not state a price or trial duration.databahn.ai · read 9 Oct 2026
