AI Agents for the
Tactical Edge
Secure, compliance-native AI agent infrastructure for defense and intelligence environments where failure is not an option.
The Infrastructure Gap
AI capabilities are being fielded tactically across defense and intelligence. But the infrastructure to deploy, secure, and replicate those capabilities at the edge doesn't exist as a standardized layer.
Models ship fast. Secure, compliant infrastructure doesn't.
EVOTAC closes that gap.
What We Build
Infrastructure for deploying autonomous AI agents in the most demanding operational environments.
Tactical Edge Agents
AI agents designed to operate in disconnected, degraded, intermittent, and limited (DDIL) environments. Each agent deploys as an independent microservice.
- >Persistent memory with built-in vector search
- >Deterministic fallback logic (Reasoners + Skills)
- >Human-supervised autonomy with guardrails
- >Async-native execution for long-running workflows
Compliance-Native Architecture
Security and compliance embedded at the infrastructure layer — not bolted on. Every agent carries a cryptographic identity (W3C DID).
- >Cryptographic identity per agent (W3C DIDs)
- >Tamper-proof audit trails (Verifiable Credentials)
- >Embedded classification tagging & access control
- >Cross-agency interoperability via standard protocols
Replicable Deployment
Modular, hardware-agnostic deployment on containerized K8s. One control plane. Many agent nodes. Cloud to SCIF to forward operating base.
- >Containerized control plane + agent runtime
- >Air-gap survivable (offline installer)
- >Auto-discovery and routing — zero config
- >Standardized accreditation boundary per deploy
System Architecture
A unified stack from hardware to mission policy — every layer designed for secure, autonomous operation at the tactical edge.
Agents as Microservices
Each AI agent is an independently deployable microservice. Agents register capabilities, discover each other, and coordinate through a lightweight control plane.
Cryptographic Identity
Every agent gets a W3C Decentralized Identifier (DID). Every action produces a tamper-proof Verifiable Credential — mathematical proof of what happened, who authorized it, and the full chain of custody.
Cross-Agent Coordination
Agents discover and invoke each other through the control plane. No hardcoded routing. Automatic service discovery, load balancing, and workflow DAG visualization.
Autonomous Execution
Agents run for hours or days without timeout limits. Durable checkpointing, webhook callbacks, and async-native execution for extended tactical workflows.
Deterministic Guardrails
Reasoners handle AI logic; Skills handle deterministic code. Schema validation ensures predictable outputs. Human oversight enforced at the infrastructure level.
from agent import Agent
app = Agent(node_id="tactical-analyst")
@app.reasoner(enable_vcs=True)
async def assess_threat(sensor_data: dict) -> ThreatAssessment:
intel = await app.call("sigint-agent.correlate")
return await app.ai(schema=ThreatAssessment)Arsenal of Freedom
The U.S. doesn't need one perfect tactical AI deployment. It needs dozens of replicable, secure deployments built on identical architecture. EVOTAC treats tactical edge AI infrastructure the way defense treats weapon system architecture — standardized, accreditable, manufacturable, and sovereign.
“Treat AI infrastructure as a weapon system — standardized, accreditable, and built to replicate.”