Federal Operations Research
for Governed Edge AI
Federal AI infrastructure was designed for the pre-AI world. Event collection. Static correlation. Periodic compliance reports. Artificial intelligence has been installed on top of this architecture as discrete services — not woven into the compute substrate itself.
Program FORGE proposes to build the first AI data center architecture where policy enforcement, AI inference, and compliance evidence generation are first-class compute primitives — not services, not bolted on after procurement, designed in from the start.
Request White PaperA live AI inference model sits between every action and every outcome in the FORGE cluster. Every data movement, API call, and model invocation is evaluated against mission context, operator identity, data sensitivity, and tool authority before execution — with a cryptographically-signed audit trail generated as a natural byproduct. This is not a security service. It is the compute kernel itself.
No single large model. No single vendor. A cooperative mesh of specialist AI models — threat intelligence, compliance reasoning, SIEM analytics, anomaly detection, mission context — each with bounded authority, each operating locally on sovereign hardware, cooperating through a fabric orchestrator. The mesh eliminates the god brain failure mode present in every centralized AI deployment.
RMF packages, FedRAMP continuous monitoring evidence, and FISMA artifacts are generated as a natural byproduct of normal FORGE operations. The Authorization to Operate does not require a documentation sprint — it falls out of the data center's own operational telemetry, continuously, with no human documentation cycle required.
A FORGE deployment is organized as one or more Sovereign Cluster Nodes. Each node is self-contained and capable of fully independent operation during network isolation, while participating in federated intelligence sharing with authorized nodes when connected.
GPU-accelerated compute for AI inference workloads. High-throughput NVMe storage. Air-gappable physical security controls. Vendor-neutral hardware based on GSA-procurable commercial components.
Multi-model server infrastructure supporting concurrent specialist instances. NVLink-enabled GPU bridging for large model deployment. Model authority registry: a policy-controlled manifest defining which models have authority for which task domains.
Policy Decision Point, Policy Information Point, Policy Administration Point, and Governance Artifact Store — an append-only, cryptographically-chained ledger of all PDP decisions. The primary source for all compliance evidence. Every action evaluated across five real-time dimensions: Identity, Data, Mission, Threat, Action.
Cognitive SIEM powered by specialist AI models rather than static rule engines. Behavioral threat prediction. AI-assisted threat hunting workspace with full mission context awareness. Telemetry normalization and enrichment across all authorized collection sources.
Personal Mission Assistants — sovereign AI agents bound to individual operator identity, clearance level, and mission context. Tool Skill Adapters connecting Splunk, Cribl, CrowdStrike, Tenable, and ServiceNow as governed fabric components. AI-assisted structured approval chains for high-consequence actions.
Continuous NIST 800-53 Rev 5 control satisfaction tracking against live cluster telemetry. Automated FedRAMP, RMF, and FISMA evidence package assembly. Real-time deviation alerting when operational telemetry indicates control degradation — same-day corrective action, not quarterly remediation.
nero-darktower is a live, operational miniaturized FORGE cluster. Program FORGE is not proposing to build something new from theory — it is proposing to formalize, instrument, and scale what is already validated in hardware.
Node Zero runs the full stack: multi-model AI inference up to 671B parameters, SOAR automation, AIOps monitoring (DoDIN APL / FedRAMP Moderate), incident response, network telemetry, and a 6-node distributed SIEM — all on-premises, all air-gap capable, all operational today.
NDF is not a single AI model on a server. It is a complete, integrated, sovereign SOC platform — every layer tested and operational on nero-darktower.
Every step: logged, auditable, immutable. Air-gap capable. On-premises only.
Architecture overview, capability mapping, and SBIR Phase I alignment review. FORGE white paper available upon request with program context.
Targeting: CISA / DHS S&T / DARPA / FAA AIT
Funding Vehicles: SBIR · IRAD · OTA