US Patent Issued to Netskope on April 22 for "Efficient training data generation for training machine learning models for security and privacy inspection of bidirectional generative artificial intelligence traffic" (California Inventors)

ALEXANDRIA, Va., June 6 -- United States Patent no. 12,282,545, issued on April 22, was assigned to Netskope Inc. (Santa Clara, Calif.).

"Efficient training data generation for training machine learning models for security and privacy inspection of bidirectional generative artificial intelligence traffic" was invented by Krishna Narayanaswamy (Saratoga, Calif.) and Siying Yang (Saratoga, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed is a training data generation system for generating training data used to train machine learning models to inspect GenAI traffic to identify security and privacy concerns related to GenAI use. The training data generation system is seeded with initial prompts. T...