Defence & Aerospace
AI Governance & Compliance for Defence & Aerospace
AI Governance & Compliance for defence & aerospace, built around the constraint that defines the sector: systems must run fully air-gapped, on open weights, with no external dependency whatsoever.
- Regulations in scope
- 4
- Systems we integrate
- 4
- Typical first release
- 6 weeks
What changes when it is defence & aerospace
The evidence pack is the deliverable auditors actually want: what the system does, what data trained it, who oversees it, and what happens when it fails.
In defence & aerospace, systems must run fully air-gapped, on open weights, with no external dependency whatsoever. That single fact reshapes how ai governance & compliance has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.
The workload we are most often asked to take on first is maintenance prediction, usually integrated against sensor systems. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.
Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. We hand over with runbooks, tests and a team that knows how it works, not a dependency.
The sector constraints we design around
- Defining constraint
- systems must run fully air-gapped, on open weights, with no external dependency whatsoever
- Regulations in scope
- security clearance requirements · indigenous content norms · export control · classified handling procedures
- Systems of record
- classified networks · logistics systems · simulation platforms · sensor systems
- Where we usually start
- document intelligence on classified material
AI Governance & Compliance workloads in defence & aerospace
- document intelligence on classified material
- imagery analysis
- logistics and inventory optimisation
- maintenance prediction
- training simulation support
What is included
- System inventory and risk classification
- Model cards and data provenance documentation
- Bias and fairness testing where it applies
- Human oversight and escalation design
- Evidence pack assembled for auditors
- Ongoing monitoring and incident procedures
Questions from this sector
Can it work fully offline?
Yes, open-weight models on local infrastructure, with no external API calls at any point in the pipeline.
What about indigenous requirements?
Open-weight models deployed on Indian infrastructure with source-available components satisfy most indigenous content criteria; we structure builds accordingly.
Does the DPDP Act apply to our AI systems?
If you process personal data of individuals in India, yes, including training data and prompts. Consent, purpose limitation and data-principal rights all apply, and prompt logs are frequently the overlooked exposure.
Do we need ISO 42001?
Not always, but it is becoming a procurement expectation in enterprise and public-sector deals. It is worth pursuing when your buyers ask for it.
Can you work with our existing GRC function?
Yes. We map AI-specific controls onto the framework you already run rather than introducing a parallel one.
Other capabilities for defence & aerospace
- AI Agent Development for Defence & Aerospace
- Agentic Workflow Automation for Defence & Aerospace
- LLM Application Development for Defence & Aerospace
- RAG & Knowledge Retrieval for Defence & Aerospace
- Chatbot Development for Defence & Aerospace
- Computer Vision for Defence & Aerospace
- AI Copilot Development for Defence & Aerospace
- Data Engineering for Defence & Aerospace
- Enterprise AI Platform for Defence & Aerospace
- Workflow & Integration Automation for Defence & Aerospace
AI Governance & Compliance for defence & aerospace, worth a conversation?
Tell us the workload and the regulation it sits under. We will tell you what is realistic.
Or email bd@dtrasglobal.com · call +91 74118 77878