Securing AI-Generated Code in the Development Lifecycle (React Focus)

Artificial Intelligence is rapidly becoming an integral part of the software development process. AI tools, like GPT and GitHub Copilot, offer tremendous efficiency by generating code at speed. However, with this efficiency comes significant security risks. AI-generated code often lacks the inherent security practices that experienced developers apply, making it vulnerable to common attacks such as XSS, insecure authentication, and improper data handling.

In this session, we will explore how to build a secure lifecycle around AI-generated code. We will cover key security principles to apply when using AI to write code, techniques for prompt engineering to guide AI in producing secure code, and methods for validating and refining AI-generated outputs to meet industry security standards. Attendees will learn how to balance the power of AI with the critical need for secure coding practices to ensure high-quality, secure software.