CipherTrust Tokenization: Secure AI Without Slowing Innovation

When you need 

• AI deployment without exposing regulated data during prompts or retrieval
• Protection against sensitive data persisting in logs, embeddings or AI-generated outputs
• Continuous PCI DSS 4.0 and privacy compliance across AI-driven workflows
• Secure data before it enters generative AI (GenAI), foundation models and AI agents without expanding data-in-use risk

Executives today are under immense pressure to deploy AI to maintain a competitive edge. However, AI Chatbots and Large Language Models (LLMs) create a unique data security crisis: once sensitive data enters a prompt, it can be absorbed into the model’s memory or logs. Achieving AI-driven innovation without creating new vulnerability gaps is the modern executive’s primary roadblock.

Thales CipherTrust Tokenization solutions enable organizations to “blindfold” AI systems, so that business analytics run unchanged while sensitive data is removed before crossing either of the two critical AI exposure boundaries: Runtime exposure boundary and Persistent exposure boundary.

CipherTrust Tokenization solutions enable the use of AI workflows and BI analytics to run unchanged without using sensitive data. Removing sensitive data from the system ensures it can never enter AI systems as cleartext and never propagate beyond intended boundaries. It simplifies compliance and deployment, lowers audit costs, and strengthens your ability to respond confidently to regulators, customers, and the board.