SafeChat – Secure Internal Use of Generative AI

Enabling organisations to safely deploy and test large language models within controlled environments.

Key Benefits

• Controlled environment with no external data sharing

• Supports modular evaluation of different LLMs

• Built-in identity and access management

• Deployable in full DTAP environments for structured rollout

The Challenge

Public organisations and policy-driven institutions want to use generative AI but cannot risk data leakage, uncontrolled access, or vendor lock-in. The ability to test models in a modular, secure environment is essential for trustworthy adoption.

The Opportunity & Solution

SafeChat is a secured AI chat interface designed for internal use. It runs on Azure AI Studio with multiple deployments of LLMs such as GPT-4o. These deployments allow technical teams to switch models and test variations in a closed environment. The chat UI is based on Microsoft’s open-source reference implementation and hosted in a protected Azure App Service.

Access is limited through Entra ID with MFA, and the application is fully integrated into a secure enterprise infrastructure.

Security & Ethics

All inputs and outputs remain internal. The application uses Azure Application Gateway and Entra ID for authentication and access control. No prompts are used to train models, and security is maintained according to institutional compliance standards.

Scalability & Customisation

The infrastructure supports multiple use cases, with the ability to roll out to departments separately. The deployment approach allows each environment to be tested independently before production rollout.

Want to bring generative AI into your organisation safely?
Let’s explore how SafeChat can enable secure, modular experimentation on your terms.
→ Explore Use Case or Connect with an Expert