Obfuscation & Data Loss Prevention

LLMs become force multipliers only when they have access to corporate data—which usually means internal PDFs and spreadsheets. The problem? Enterprises are understandably suspicious of sending their data to public LLMs like ChatGPT. 

Our solution to this problem is to intelligently detect and replace sensitive information before it is ever sent to an LLM. Our platform scans all documents and prompts, obfuscates relevant terms, then sends to the LLM for analysis. After the response is returned, QS SecureGPT applies the inverse mapping, restoring the sensitive data for a seamless user experience. 

Obfuscation policies are granular, allowing custom filters for specific workflows and system-wide and group-wide policies for granular control over what data goes to the LLM.