Implementing a Secure GenAI Platform and Use Cases
Customer
Major Swiss Bank
The bank’s innovative SafeChat project established a comprehensive GenAI governance framework, turning potential AI security challenges into a scalable, enterprise-level technological advantage.
Challenge
- Client wanted to introduce GenAI into the company with a first lighthouse use case. The priorities for customer were:
- ensure that the employees have a compliant and secure way to interact with an LLM Chatbot
- mitigate the risk of data leaks from employees using authorised solution like ChatGPT with private accounts
- build the technical foundation and acceptance to build more advanced use cases in the future
- There was no established framework for secure generative AI service integration
Solution
- OpenAI Service Integration into the bank’s official Azure infrastructure
- Developed SafeChat application using internal Java application development framework including:
- Detailed approvals
- Robust documentation
- Comprehensive support organization
- Extended SafeChat with RAG (Retrieval-Augmented Generation) Chatbot for two specific use cases
Business Impact
- Established first GenAI service platform acting as a security and compliance gateway
- Created a scalable model for future GenAI use cases across the bank
- Enabled secure and compliant generative AI interactions
- Successfully deployed SafeChat to over 6,000 users
- Built technical and conceptual foundation for enterprise-wide AI integration
- Mitigated risks associated with unauthorized AI tool usage