Integrations
Pryvet can be integrated into various systems to optimally support you with privacy-compliant AI power.
Secure Plug & Play LLM
Integrate Pryvet LLMs into your existing systems, tools, and processes as a Plug & Play replacement for other large language models. This allows you to use the familiar quality of your preferred LLMs combined with Pryvet’s security layers.
Pryvet’s secure interface offers a comparable technical feature set, endpoints, and parameters that you are already familiar with from integrating popular foundation models like those from OpenAI, Google, Mistral, Anthropic, and others.
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Seamless Integration
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Familiar API endpoints
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Protection through security layers
User request
A user request is made to the chatbot. This contains sensitive data.
Pseudonymization
The Pryvet Security Layer, placed between the user and the Large Language Model, detects the sensitive data and replaces it with context-sensitive placeholders.
Pseudonymized request
The request with the context-sensitive placeholders is forwarded to the selected Large Language Model.
Output with context-sensitive placeholders
The LLM generates its response including context-sensitive placeholders, which are sent to the Pryvet Security Layer.
De-pseudonymization
Within the Pryvet Security Layer, the context-sensitive placeholders are replaced with the original sensitive data.
De-pseudonymized output
The final response to the user query is sent to the user or the user's system with the original sensitive data.
