Real-time sensitive data protection for AI
Prevent sensitive data leakage
Automatically detect and de-identify dozens of sensitive entity types in free-text data to keep private information out of your chatbot interactions.
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Protect user input
Safely leverage user inputs by detecting and removing Personally Identifiable Information (PII) or Protected Health Information (PHI) in real time.
Control data access
With reversible tokens, the chatbot can display the original text to users while ensuring the LLM processes only the redacted data.
Tokenized data redaction
Replace sensitive data with reversible tokens to maintain consistency between chatbot prompts and the underlying RAG system for optimal RAG retrieval.
Multilingual Named Entity Recognition (NER)
Automatically identify dozens of sensitive entity types in free-text data with Textual’s proprietary, best-in-class multilingual machine learning models for NER.
“Tonic removed a major blocker for us by enabling our teams with data that mirrors the size, shape, and feel of our production data. And by guaranteeing privacy for HIPAA compliance, Tonic allows us to share that data safely with our off-shore development teams, too.”
Unlock the potential of chatbots powered by LLMs while protecting PII
