While AI-generated code can accelerate development, it also introduces new risks. This is because AI tools currently rely on the LLMs, which use general data and don't know the specifics of the application under test. Moreover, they are being used to produce much higher quantities of code which in turn will lead to more bugs and vulnerabilities. The reliance on AI can also lead to a reduced understanding of the codebase by human programmers and a false sense of security, as found in a study by Stanford University.