Ensuring Data Security, Privacy, and
Compliance in AI-Driven Environments
Obfuscation & Data Loss Prevention
LLMs become true force multipliers only when they have access to corporate data—typically internal PDFs, spreadsheets, and other confidential documents.
However, enterprises are rightly concerned about sending sensitive information to public LLMs like ChatGPT.
QS SecureGPT addresses this challenge by intelligently detecting and obfuscating sensitive information before it is ever transmitted to an LLM. The platform scans all documents and prompts, replaces sensitive terms with placeholders, sends the sanitized content to the LLM for processing, and then applies inverse mapping to restore the original sensitive data after the LLM response is received—ensuring a seamless and secure user experience.
Obfuscation policies are highly granular, enabling organizations to create custom filters for specific workflows, as well as system-wide and group-wide policies for fine-grained control over what data is shared with LLMs.
Key Features & Benefits
- Intelligent Data Obfuscation – Detects and replaces sensitive information before sending content to LLMs.
- Inverse Mapping for Seamless Experience – Automatically restores original sensitive data after LLM processing.
- Granular Obfuscation Policies – Supports workflow-specific, group-wide, and system-wide data protection settings.
- Enterprise Data Protection – Ensures that no confidential data is exposed during AI interactions.
- Enhanced User Trust – Enables employees to leverage LLM capabilities without risking data breaches.
- Compliance-Friendly Architecture – Supports adherence to internal data governance and global privacy regulations.
