Security Risks in AI-Assisted Development
Understanding LLM vulnerabilities in software engineering workflows
This research examines security vulnerabilities when using Large Language Models (LLMs) like GitHub Copilot and ChatGPT for software development.
- LLMs in development can introduce code vulnerabilities and security risks despite productivity gains
- AI tools may produce insecure code snippets that appear functional but contain subtle flaws
- Developer over-reliance on AI suggestions without proper security validation creates significant risks
- Research provides actionable guidelines for secure LLM integration in development workflows
Why it matters: As AI-assisted development becomes standard practice, understanding these security implications is crucial for maintaining software integrity and preventing data breaches in production environments.