Understanding the security risks of LLMs

Here, we look at the security considerations in AI-assisted programming.

LLMs have revolutionized many aspects of software development, from code generation to documentation. However, their integration into the development process brings new security challenges that developers must understand and address. This section explores the security risks associated with LLMs, both in their general use and specifically in code generation, providing practical advice for technical professionals working in real-world scenarios.

Data privacy and confidentiality

This subsection highlights several threats and weaknesses to be aware of when using LLMs in general. The next subsection is about code from LLMs specifically.

LLMs are trained on vast amounts of data, and when used, they process user inputs that may contain sensitive information. This raises several privacy and confidentiality concerns:

• Training Data Leakage: LLMs might inadvertently...