Zero-Trust Intelligence

 

Executive Summary: Zero-Trust Intelligence for the Modern Battlespace

The mission-critical challenge facing National Security and Defense organizations is the inability to rapidly fuse vast quantities of complex, siloed, and highly sensitive data to generate timely, trusted, and actionable intelligence. Legacy systems introduce unacceptable latency and fail to meet increasingly stringent data sovereignty and air-gapped operational requirements.

This white paper introduces a turnkey, secure data fabric solution built on the convergence of the Equitus PowerGraph Knowledge Graph Neural Network (KGNN) and the high-security architecture of IBM Power Systems, orchestrated by modern Kubernetes containers. The result is a Zero-Trust Intelligence platform that empowers analysts and operators with decisive speed while guaranteeing complete control over data assets—a genuine Power-Up On Prem capability.

Guaranteed Data Sovereignty and Provenance

For the Gov/Def sector, security is non-negotiable. Our solution ensures all classified and sensitive data remains fully on-premise, often in air-gapped environments, eliminating reliance on external public clouds. The architecture leverages the robust security and high-performance I/O of IBM Power.

Crucially, the Equitus PowerGraph KGNN Hierarchy is built to deliver trust and explainability:

• Data Provenance: Every Node and Edge in the graph is traceable, providing an immediate audit trail back to the originating sensor or report source.

• AI Explainability: The resulting High-Definition Vectors provide clarity on how intelligence inferences were formed, validating every machine-generated insight.

Accelerating the Intelligence Cycle (NVI)

To meet the speed of modern threats, intelligence must be delivered in real-time. Our solution streamlines the entire process using the NVI (Normalize, Visualize, Iterate) Formula:

1. Normalize: Heterogeneous data (GEOINT, SIGINT, open-source) is ingested and unified into the knowledge graph structure at incredible speed, turning disparate data silos into a single, cohesive operating picture.

2. Visualize: The graph structure is immediately presentable and queryable, reducing the time required for analysts to understand complex relationships.

3. Iterate: The system is optimized to process "Use Deltas"—minor, real-time updates—instantly, updating the entire knowledge graph without requiring a full system re-ingestion. This ensures force protection warnings and tactical shifts are alerted in milliseconds, not minutes.

A Modern, Multi-Tenant Architecture

By utilizing Kubernetes for orchestration and supporting high-performance frameworks like MMA (Multi-Model Analytics) and Sparkle, we enable the deployment of multi-tenant, cloud-native intelligence applications directly on secure on-premise hardware. This architecture provides the resilience, scalability, and resource isolation necessary to run multiple mission-critical workloads concurrently, all while adhering to the strictest COTS deployment requirements and maximizing your existing infrastructure investment.