The AI Data Fabric
One fabric. Many missions. Intelligence moves instead of data. Neural Data Fabric unifies telemetry, AI inference, governance, and orchestration into a single on-premises layer for federal cyber operations — vendor-neutral, air-gap capable, policy-native.
What is an AI data fabric?
An AI data fabric is the layer that makes artificial intelligence governable, observable, and survivable inside a real mission environment — not a demo, not a hosted API.
Most AI deployments bolt intelligence onto a stack that was never designed for it. The model lives in one place. The telemetry lives in another. The policy lives in a document. The compliance evidence lives in a spreadsheet. When the mission changes, the pieces drift apart.
A data fabric inverts that. Policy, inference, telemetry, and evidence are not services running on top of the system — they are the system. Every action is evaluated before execution, every decision is signed and recorded, and every node can operate independently when the network is not there.
Defend locally. Learn collectively. No data leaves the site that was not authorized to leave it.
Explore the fabric
Telemetry Data Platforms
Unified ingestion and normalization of logs, events, metrics, and assets into one operational intelligence layer — Splunk, Cribl, syslog, OpenTelemetry, OT.
AI Governance
Policy-native enforcement, signed decision artifacts, and automated RMF / FedRAMP / NIST 800-53 compliance evidence.
Splunk Modernization
Reduce index cost and modernize the SIEM without rip-and-replace — Cribl pipelines, CIM normalization, cluster migration.
Mission SOC & FusionSOC
AI-powered security operations with threat hunting, SOAR automation, and identity-aware correlation across the fabric.
Neural Data Platform
The distributed mesh of on-premises inference nodes that runs the fabric — dual-GPU reference nodes operational today.
Program FORGE
Governed edge AI research and development — SBIR-aligned, air-gap capable, mission-grade cyber R&D.
Built for mission operations
Federal and defense missions do not run on a vendor's roadmap. They run on hardware the agency controls, in facilities the agency operates, under policy the agency defines. The fabric is engineered for exactly that — sovereignty over data, resilience under degraded connectivity, and evidence that survives an audit.
Centralization is operationally fragile. One data center, one AI API, one SIEM cluster — one catastrophic failure mode. The fabric distributes that risk across self-contained nodes that synchronize intelligence, not raw data.
Frequently asked
What is an AI data fabric?
An AI data fabric is an architectural layer that unifies data ingestion, AI inference, governance, and orchestration across distributed, on-premises environments. In Neural Data Fabric, telemetry, models, policy, and mission context operate as one governed system instead of separate, disconnected tools.
How is an AI data fabric different from a data lake or a SIEM?
A data lake centralizes storage and a SIEM centralizes security analytics. A data fabric distributes intelligence while keeping raw data local. Only indicators, model updates, and policy move between authorized nodes — never raw telemetry unless the mission authorizes it.
Can an AI data fabric run air-gapped?
Yes. Each node is self-contained with its own inference stack, policy kernel, and telemetry processing. A node can operate fully disconnected — air-gapped, degraded, or isolated — and continue functioning without external dependencies.
Does it replace Splunk or Cribl?
No. The fabric governs and connects the tools you already run. Splunk keeps searching, Cribl keeps routing, ServiceNow keeps ticketing — as governed adapters inside the fabric. It modernizes your stack without a rip-and-replace.
Which compliance frameworks does it support?
The evidence layer generates cryptographically signed artifacts mapped to NIST 800-53 Rev 5, RMF, FedRAMP continuous monitoring, FISMA, OMB M-21-31, and Zero Trust. Authorization evidence falls out of normal operations.
Explore the fabric
Request a fabric architecture overview
Technical briefing on distributed node deployment, inference layer configuration, policy kernel implementation, and telemetry routing for federal mission environments.
FedRAMP 20x · OMB M-26-14 · NIST 800-53 Rev 5
Zero Trust · OMB M-21-31 · Air-Gap Capable