Baffle, Inc. (20250111073). PROTECTING SENSITIVE DATA IN TEXT-BASED GEN-AI SYSTEM
PROTECTING SENSITIVE DATA IN TEXT-BASED GEN-AI SYSTEM
Organization Name
Inventor(s)
Min-Hank Ho of Santa Clara CA US
Palanivel Rajan Shanmugavelayutham of Santa Clara CA US
Kishore Kumar Chandrasekaran of Santa Clara CA US
Balaji Govindan of Santa Clara CA US
Priyadarshan Kolte of Santa Clara CA US
PROTECTING SENSITIVE DATA IN TEXT-BASED GEN-AI SYSTEM
This abstract first appeared for US patent application 20250111073 titled 'PROTECTING SENSITIVE DATA IN TEXT-BASED GEN-AI SYSTEM
Original Abstract Submitted
the present embodiments relate to systems and methods to selectively encrypt data for a generative artificial intelligence (genai) application. the systems and methods as described herein provide access control for generative ai applications by applying encryption at the data level for all sensitive and regulated data values. each data value identified as containing sensitive data can be individually encrypted with associated metadata that supports downstream processing by generative ai components and for access control. the encryption can be performed by inline network proxies that are configured by a centralized configuration management service. the use of centralized configuration management can be used for encryption and associated access control policies that is consistent across all of the data paths into and out of the protected systems.