Fahrenheit AI Episode 25 Exploring AI Security and Confidential Computing

In this episode of Fahrenheit AI, we delve into AI security, discussing large language models (LLMs), data leakage, and the challenges of using public and private AI systems. We explore the limitations of free and paid AI accounts, the risks of data leakage, and how companies can protect sensitive information. We also cover the concept of confidential computing, encryption techniques, and the future role of contextual integrity in balancing privacy and information flow. Tune in to understand the intricate dynamics of AI security and how emerging solutions aim to protect proprietary data.