The engine underneath

A Platform Engineered for Cyber Operations.

Neural Data Fabric runs on a cloud-native, modular architecture designed for high-throughput telemetry ingestion, real-time correlation, and automated response — deployable on-premises, in air-gapped environments, or across hybrid cloud.

Architecture

A layered architecture that separates ingestion, processing, intelligence, and action — each layer independently scalable and observable.

Ingestion Layer

Multi-protocol data intake — syslog, HEC, Kafka, gRPC, file monitoring, and API webhooks — with built-in buffering, backpressure, and schema validation. Handles millions of events per second without data loss.

Processing Layer

Stream and batch processing pipelines for normalization, enrichment, deduplication, and routing. Custom processors can be injected via WebAssembly or containerized functions for zero-downtime updates.

Intelligence Layer

AI/ML models running inline for anomaly detection, entity resolution, and threat scoring. Models are versioned, auditable, and can be trained on customer-specific telemetry for domain-adapted detection.

Action Layer

Automated response playbooks, case management, and bidirectional integrations with SOAR, ITSM, and messaging platforms. Human-in-the-loop guardrails ensure critical actions require approval.

Observability Layer

Built-in metrics, distributed tracing, and audit logging for every component. OpenTelemetry-native — export to Datadog, Grafana, Splunk, or your existing observability stack.

Governance Layer

Role-based access control, data residency controls, retention policies, and compliance evidence generation aligned with NIST 800-53 and FedRAMP control families.

Neural-Fabric.Kernel

The lightweight, embeddable runtime that powers local inference, workflow orchestration, and autonomous decision-making at the edge. Runs in disconnected, air-gapped, and low-bandwidth environments. Written in Rust with Python and TypeScript SDKs.

Learn about the Kernel →

Deployment Models

From cloud-native SaaS to fully air-gapped on-premises, choose the deployment model that fits your mission requirements.

Cloud

Fully managed SaaS on AWS, Azure, or GCP with single-tenant isolation, customer-managed encryption keys, and 99.95% SLA.

Hybrid

Keep sensitive data on-premises while leveraging cloud for burst capacity, AI training, and global threat intelligence aggregation.

Air-Gapped

Fully self-contained deployment for classified and disconnected environments. No external dependencies. All updates delivered via signed offline bundles.

See the platform in your environment.

Request a guided architecture walkthrough tailored to your infrastructure and compliance requirements.

Request a Demo