How does Omnifact's privacy filter stack up against more traditional privacy methods? Does it really keep data secure without making the AI less effective when using public LLMs?
Thanks for asking. The privacy filter was actually one of the first things we’ve launched with: Omnifact's privacy filter leverages a custom-trained Named Entity Recognition (NER) model for advanced data masking and context-aware content filtering. This ensures sensitive information is replaced with placeholders while preserving the AI's contextual accuracy. The platform supports on-premise deployment and self-hosted LLMs, offering full data control and compliance with regulatory standards.