DataBahn

Spec sheet

What it does

DataBahn describes itself as an agentic data control plane for security, observability, and AI that controls telemetry in motion.Read 9 Oct 2026 · databahn.ai

Purpose

DataBahn controls telemetry for security, observability, and AI by preparing, governing, and routing data or searching it in place.Read 9 Oct 2026 · databahn.ai

Intended users

DataBahn describes its platform for security, observability, and AI teams, including enterprise data and security teams.Read 9 Oct 2026 · databahn.ai

Deployment

Listed deployment models are SaaS, self-managed cloud, hybrid, or completely on-premises.Read 9 Oct 2026 · databahn.ai

Integrations

The platform page lists 700+ prebuilt integrations and AI-generated connectors for new sources.Read 9 Oct 2026 · databahn.ai

Headquarters

The About Us page lists headquarters at One Legacy West, Suite 390, 7950 Legacy Drive, Plano, TX 75024.Read 9 Oct 2026 · databahn.ai

AI access governance

MCP Hub provides centrally governed agent permissions and records agent calls in an audit trail.Read 9 Oct 2026 · databahn.ai

AI agent access

AI agents connect to enterprise systems through MCP Hub over the Model Context Protocol, with permissions and auditing.Read 9 Oct 2026 · databahn.ai

Capacity

The platform page states throughput of 100+ TB per day and describes loss-less collection with failover and error correction.Read 9 Oct 2026 · databahn.ai

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.Read 9 Oct 2026 · databahn.ai

Data pipeline

Its Data Pipeline collects, prepares, enriches, governs, and routes telemetry to destinations.Read 9 Oct 2026 · databahn.ai

Federated search

Federated Search & Orchestration searches connected data stores without centralizing the data and supports natural-language, AI-assisted investigation.Read 9 Oct 2026 · databahn.ai

In-stream intelligence

Purpose-built AI agents monitor data quality, detect gaps and schema drift, validate policy, and act on telemetry in motion.Read 9 Oct 2026 · databahn.ai

Integration examples

The integration directory lists Microsoft 365 Defender, Jira, Palo Alto Networks, Cloudflare, CyberArk, and ThreatLocker integrations.Read 9 Oct 2026 · databahn.ai

Model choice

DataBahn says customers can bring their own model and use customer-owned keys.Read 9 Oct 2026 · databahn.ai

Scale

The platform page lists throughput of 100+ TB per day.Read 9 Oct 2026 · databahn.ai

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.Read 9 Oct 2026 · databahn.ai

Sensitive data

DataBahn says it can detect and mask sensitive fields in motion before data reaches a destination, and quarantine private data.Read 9 Oct 2026 · databahn.ai

Supported schemas

Its normalization supports common schemas including ASIM, OCSF, CIM, and UDM.Read 9 Oct 2026 · databahn.ai

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.Read 9 Oct 2026 · databahn.ai

Who it is for

DataBahn describes its intended users as security and observability teams, applications, and AI agents that rely on enterprise telemetry.Read 9 Oct 2026 · databahn.ai

Where Specifiction places it

• Telemetry Pipeline Software#20 of 287.4