Finding a Balance: LLMs, Innovation, and Security
The MLSecOps Podcast
00:00
Evolution of Risks in Machine Learning Models
The chapter explores the transition of risks in machine learning models, from traditional cyber threats to more complex attacks like remote code execution. It emphasizes the need to address theoretical and practical attacks, showcasing examples of deep fake technology being used for malicious purposes. The conversation also delves into challenges and recommendations for businesses regarding employees using generative AI tools without formal policies, stressing the importance of building relationships with tech teams and educating employees on responsible tool use.
Transcript
Play full episode
