Boudica Torc: The Sovereign AI Engine.
Not just words or filters, architecture & science for true governance
The IP Sovereignty Gap
Every time you prompt a cloud-based LLM, you are sending your Intellectual Property & ideas out of your secure environment. This both risks your data, and
means you cannot audit exactly how it has been used.
The Norm: Data is processed on third-party servers, stored in 'black boxes,' & often used to refine models used by your competitors. You cannot audit the external models to see what data they are trained on, or how your answers are generated.
Boudica Torc: Your AI model lives on your hardware and is trained transparently so it can be audited. Your data never leaves your perimeter and you maintain 100% IP Sovereignty & absolute control over your digital assets.
Transparent Training Data
You can see what the training data is, how its used and what its license is. You can then audit all responses for verification, and compliance.
You Host Your Model
The AI lives within your infrastructure, on-prem or air-gapped, and it never calls home. If you need to, you can deny user access or shut the AI down on command.
You Own Your Model
The Boudica Torc licenses give you access to our technology to create & run the models. However, your model is unique to you, and owned by you. Always.
Governance & Control
Enterprise Governance and Oversight in Boudica Torc
Accountability Trail
Boudica maintains a permanent record of all user-AI interactions linked to specific identities. This ensures total transparency for legal discovery and regulatory compliance by providing a non-modifiable 'chain of custody' for every response generated.
Role-Based Data Isolation
A granular permission hierarchy (Public to Restricted) prevents the AI from citing unauthorized documents during RAG sessions. This protects IP by ensuring sensitive department data, like HR or Finance records, never leaks to unauthorized staff.
Automated Threat Detection
Integrated security monitoring instantly flags jailbreak attempts, unusual access patterns, and potential data exfiltration. This provides proactive risk mitigation, allowing administrators to identify and block abusive behaviour.
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