Security
Declaration
We operate on a simple premise: Public networks are hostile. Our architecture is designed to function in zero-trust, high-threat environments where the perimeter has already failed.
The Air-Gap Standard
Our default deployment model is physically isolated. Your AI inference nodes have zero routes to the public internet (0.0.0.0/0 blocked), eliminating remote attack vectors. We configure strict outbound firewalls to deny all traffic by default, whitelisting only internal vector databases and local update servers.
Identity-Based Segmentation
We treat AI models as users. Every model receives a unique Service Principal in Microsoft Entra ID. Access to internal knowledge bases is granted via token-based RBAC. If an agent is compromised, it cannot pivot.
Immutable Audit Trails
Every token generated, document retrieved, and decision made is logged to an immutable append-only ledger. We provide a full UI for compliance officers to trace the AI's "chain of thought."
09:14:02 [REQ] User_892 -> Q3_Data
09:14:03 [INF] Model Access Authorized
09:14:05 [OUT] 452 tokens generated
09:15:11 [LOG] Hash: 8f2a...9c1
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No Black Boxes
We only deploy open-weights models (Llama 3, Mistral, etc.). You have full access to the model weights, the inference code, and the training data. There is no "proprietary magic" that sends telemetry back to HQ.
Compliance Ready
Built for regulated industries. We support "Right to be Forgotten" via vector filtering.
Data Encryption
Military-grade encryption standards applied to all data at rest and in transit.
Challenge Our Architecture
We invite your Red Team to test our deployments. We are confident in our isolation.
Request Security Whitepaper