How to mitigate security issues in GenAI code and LLM integrations

The article discusses the potential security risks introduced by AI coding tools like GitHub Copilot, which can replicate and amplify existing vulnerabilities in a codebase. It highlights three main issues: command injection vulnerabilities, cross-site scripting (XSS), and SQL injection. The author demonstrates how these issues can be mitigated using Snyk Code, a real-time, in-IDE static application security testing scanning and autofixing tool that secures both human-created and AI-generated code. Snyk Code not only detects vulnerable code patterns but also provides fixes for them right within the IDE.