Industry solution
AIOps for Government and Defence (Air-Gapped)
Written by
Alok Singh Pawar
Published
June 2026
Reading time
6 min read
Government and defence run mission-critical systems on isolated, often classified networks where nothing can reach the internet. AIOps for these environments must deliver autonomous resolution entirely on-premises and air-gapped.
The operational pressure in government and defence
These environments combine high stakes with hard constraints: systems are mission-critical, security and classification requirements are strict, and many networks are fully air-gapped with no external connectivity by design. That rules out any SaaS-only or cloud-dependent approach, and any AI must run locally, on data that never leaves the boundary.
Where autonomous operations fits
The value of autonomous resolution, fewer incidents reaching a human, faster containment, is if anything higher in constrained environments where staffing is limited and stakes are high. The requirement is that the entire stack, collection, analysis, and the AI models themselves, runs inside the isolated network under strict governance and audit.
Why Opstral for government and defence
Opstral is built to run fully on-premises and air-gapped, with its autonomous, governed resolution and its models operating entirely inside the isolated network, so mission-critical systems get autonomous operations without anything crossing the boundary.
Frequently asked questions
Does Opstral work fully air-gapped?
Yes. The entire pipeline, including the AI models, runs on-premises with no external connectivity, which is a core design requirement for these environments.
How are autonomous actions controlled?
Through scoped permissions, approval gates, reversibility and full audit, so autonomy meets strict governance and accountability requirements.
Can it meet classification and compliance needs?
By keeping all data and processing inside the boundary and auditing every action, it fits isolated, compliance-driven deployments.