Deployment, Sovereignty & Information Control
Rigr AI systems are designed for regulated environments where data security, sovereignty, and compliance are non-negotiable requirements.
Information Control
“Information control” is the umbrella concern behind every deployment decision on this page: data residency, system connectivity, processing location, access control, auditability, customer-owned inputs and outputs, no unnecessary retention, human review, and governance compatibility. It’s broader than “evidential integrity” alone — it’s the fear commanders, IT and security stakeholders actually feel about where their data goes.
Deployment Options
On-premise
Deploy within your own infrastructure. Full control over hardware, network, and data residency. Fully containerised — if your environment can run containers, it can run Rigr AI systems, with no proprietary infrastructure required.
Air-gapped
Operate with no external connectivity. Suitable for the most sensitive environments and classified networks. No data is sent externally in this mode — all processing occurs within your controlled environment.
Private sovereign AI
A private deployment pattern for organisations that need sovereign data handling and governed AI operation, without depending on shared or third-party infrastructure.
Secure private cloud
Deploy into your customer-controlled cloud environment where policy permits. Data and processing remain within your environment, under your control.
Government cloud
Suitable for agencies with approved gov-cloud architectures and procurement constraints.
Regulatory Alignment
Rigr AI systems are designed to support compliance with:
- GDPR — General Data Protection Regulation
- LED — Law Enforcement Directive
- EU AI Act — European Artificial Intelligence Act
Deployment architecture and operational controls are designed to support data protection requirements and regulatory accountability.
Customer Control
- Customer retains full control of all data and outputs
- No data retention by Rigr AI
- Audit logs and operational transparency
- Integration with existing security and governance frameworks
For technical documentation and deployment discussions, contact Rigr AI.