Back to the Future, Securing Generative AI

Over the last 10 years, the top jobs in data analysis have evolved from statistics and applied modeling, into actuarial science, into data science, into machine learning, and now here we are, Artificial Intelligence and Generative AI. AI has become ubiquitous – most people have used it and almost everyone has an opinion of it. As an engineer, I’m excited to apply all of this innovation into practical applications, and ultimately ensure it operates safely and securely.

Before I jump into this multi-part series on securing generative AI, I want to take some time and give an overview of where we are today, as well as explain some core components and complexities.

Generative AI is a broad term that can be used to describe any AI system that generates content. When we start to think about securing Generative AI – there are a few key concepts to understand.

1. Generative AI ...