When a user enters a prompt that contains sensitive information, Dymium SecureChat will substitute the sensitive information for synthetic, but similar information before sending it to the LLM, keeping the demarcation of secrets within your organization.
For example a name will be substituted for a different name. When the LLM sends the response back that includes the synthetic data, Dymium SecureChat will reconstitute the response with the real information before presenting the response to the user.
Prevents sensitive data leakage by substituting or obfuscating, and replacing PII data in the input queries to ensure LLMs cannot access or infer sensitive information without proper authorization.
Seamlessly integrates with your existing Identity and Access Management (IAM) infrastructure to manage user access and permissions effectively, maintaining a centralized view of LLM interactions.
User-friendly interface resembles what users are familiar with from other LLMs, keeps a human in the loop, making it easy to access LLMs securely and efficiently. You can easily review what you’re sending and what we will substitute before you hit send.
Dynamically anonymizes sensitive data to ensure LLMs cannot access or use your private information for model training or other unauthorized purposes.
Implemented as a virtual machine ready to run on AWS, Azure or in your on-prem environment. (Supports both Open.ai ChatGPT and Microsoft Azure OpenAI Service)
