GuardianOS AI
Deployment

Deploy where your
data already lives.

Edge AI, accelerated computing and full data sovereignty — engineered for enterprise, government and regulated environments.

  • Edge AI
  • Accelerated inference
  • Data sovereignty

Illustrative environment

Deployment Models

One product. Four deployment models.

Topology · Edge
Cameras + Sensors
Site edge node
Users + Systems

Edge AI and GPU nodes running low-latency site-local inference.

Data sovereignty

Your Infrastructure. Your Data. Your Intelligence.

Video and sensitive data can remain entirely within your infrastructure. GuardianOS processes at the edge, shares only secure metadata, and supports fully air-gapped deployment — with no dependency on public cloud processing.

On-premise and Edge AI deploymentPrivate cloud and hybrid architecturesFull data sovereigntyNo dependency on public cloud processingSupports regulated and government environments
On-premise intelligence flow
Stage 1
Cameras + Sensors
Existing infrastructure
Stage 2
Edge AI Processing
On-site, low latency
Stage 3
Secure Metadata
No raw video leaves site
Stage 4
GuardianOS Platform
Private cloud or on-prem
Stage 5
Users + Systems
Dashboards, alerts, integrations
Security

Security engineered for regulated environments.

01

RBAC

Role- and attribute-based access with least-privilege defaults.

02

Audit logs

Every AI decision, every operator action, immutable and exportable.

03

Evidence storage

Chain-of-custody, hash-verified clips and metadata, retention policies.

Ready when you are

Your cameras already see the risk.
GuardianOS helps you act on it.

Book a demo, talk to our team, or explore the platform. See how existing infrastructure becomes an intelligent, actionable system.