Abstract: Systems and methods for large language model (LLM)-agnostic data anonymization. Data anonymization includes data obfuscation (and data deobfuscation) to protect confidential information a user is going to send to an LLM service or application programming interface (API). Encryption can be used for data obfuscation and particularly, for securing data from unauthorized access. Likewise, decryption can be used for data de-obfuscation.
Type:
Grant
Filed:
April 2, 2024
Date of Patent:
March 3, 2026
Assignees:
Aracor Inc, Constructor Education and Research Genossenschaft
Inventors:
Katya Fisher, Serg Bell, Lucas Puvis de Chavannes, Irina Krotova