Defense & National Security
Secure AI for
Mission-Critical Defense
AI-Native Embedded Linux for defense -- built on Linux 6.12 LTS with PREEMPT_RT, 64 MB memory footprint, AES-256-GCM encryption, WireGuard VPN, and zero telemetry. Purpose-built for ISR, tactical robotics, swarm coordination, and counter-UAS operations.
Secure autonomy operations
Defense AI programs need hardened infrastructure and audit-ready command paths.
Defense deployments pair offline inference, encrypted communications, and governed workflow approvals with edge-ready runtime controls.
Governance control loop
Live modelIdentity
Zero telemetry
Policy
Encrypted comms
Audit
Review gates
Evidence
Zero telemetry
Signal
Zero telemetry
Signal
Encrypted comms
Signal
Review gates
Stack
The Neura Parse stack, defense-grade.
Click any layer to see the components, the integrations, and the operational guarantees that layer brings to ISR, swarm, robotics, and counter-UAS missions.
Defense stack
6 layersEvery layer is encryption-aware, signed at build, and auditable at run-time. The same stack that flies on Pixhawk also runs on rugged x86 command-post boxes.
Mission-level orchestration: deploy ISR collection plans, swarm formations, threat-response playbooks, and human-in-the-loop approvals across distributed forces.
Key Capabilities
Built for classified environments
Zero-Trust Encrypted Comms
AES-256-GCM encryption across every channel with WireGuard VPN tunnels. MAVLink 2.0 message signing authenticates every command. eBPF QoS enforces MAVLink priority at the kernel level -- zero telemetry leaves the system by design.
- WireGuard VPN
- MAVLink 2.0 message signing
- eBPF QoS priority
Offline AI Inference
Run computer vision, NLP, and signal-processing models with zero cloud dependency. NPIE v2.0.0 provides 12 inference backends including ONNX Runtime, OpenVINO, and llama.cpp on ruggedized edge hardware -- no data exfiltration risk, ever.
- NPIE v2.0.0 (12 backends)
- Edge LLM with llama.cpp
- Zero cloud dependency
Secure Boot & Audit Trails
Secure Boot via FIT image verification with dm-verity filesystem integrity from power-on through runtime. RAUC OTA with automatic rollback ensures safe field updates. Every system event is cryptographically signed for post-mission analysis and compliance.
- Secure Boot (FIT) + dm-verity
- RAUC OTA with rollback
- SBOM + reproducible builds
Platform Integration
How NeuralOS fits your defense stack
NeuralOS v5.0.0 deploys as an AI-Native Embedded Linux distribution purpose-built for defense platforms. Built on Linux 6.12 LTS with PREEMPT_RT, it boots in under 5 seconds within a 64 MB footprint, providing a secure, real-time runtime for any autonomous workload.
- Linux 6.12 LTS + PREEMPT_RT
Deterministic scheduling with < 1 ms worst-case latency for flight control and weapon systems.
- MAVLink 2.0 + message signing
Authenticated command links with eBPF QoS priority for mission-critical MAVLink traffic.
- Swarm engine
V/Line/Circle/Grid formations with Raft leader election for decentralised multi-agent coordination.
- RAUC OTA with rollback
Cryptographically signed A/B updates with automatic rollback on failure -- no maintenance window.
System Architecture
Use Cases
Proven in contested environments
Sortable comparison across deployment characteristics.
| Use case | Control latency deterministic | Power envelope edge SoC | Connectivity off-grid friendly | Reference hardware | Time-to-deploy |
|---|---|---|---|---|---|
Autonomous ISR drones GPS-denied navigation via ORB-SLAM3, real-time threat detection through NPIE v2, MAVLink 2 signed command links, fully offline perception-to-action loop. MAVLink 2 signed16-state EKFPX4 1.16.0 | < 1 ms | 10–25 W | Offline-capable | Jetson Orin Nano + Pixhawk 6X | 4–8 weeks |
Tactical robotics UGVs for perimeter patrol, EOD and logistics resupply. LiDAR SLAM, thermal classifier, ROS 2 nav stack, deterministic < 1 ms control. LiDAR SLAMThermal AIROS 2 Nav | < 1 ms | 30–80 W | Mesh + cellular | Jetson AGX Orin | 8–12 weeks |
Swarm coordination WiFi mesh (802.11s + BATMAN-adv) swarm with V / Line / Circle / Grid formations, Raft leader election, decentralised task allocation. Swarm engineRaft electionWiFi mesh | < 5 ms peer-to-peer | 10–25 W per node | Mesh-native | Jetson Orin Nano cluster | 6–10 weeks |
Counter-UAS Multi-modal hostile drone detection — vision + RF spectrum + acoustic arrays. AI threat classification feeds automated jamming or intercept. Sensor fusionRF analysisReal-time AI | < 10 ms classify | 40–120 W | Wired uplink + IP mesh | Jetson AGX + RF SDR | 10–14 weeks |
Tactical edge compute Forward-deployed compute node aggregating sensor feeds and serving local LLMs to dismounted operators. Air-gapped by default. Local LLMAir-gap defaultTPM 2.0 | < 100 ms LLM token | 60–150 W | Air-gap or sat | Jetson AGX Orin / x86 ruggedised | 6–10 weeks |
By the Numbers
Defense-grade specifications
Ready to deploy mission-critical AI?
Speak with our defense solutions team about your operational requirements. We provide custom integration, security accreditation support, and ongoing mission assurance.