AI-Generated Code: Unmasking the Security Pitfalls

AI’s influence on programming and software development is undeniable, offering efficiency, automation, and advanced capabilities. Yet, there lies a shadow realm of security challenges, some known and others yet to be discovered.

What You’ll Learn:

  • The current state of AI in code generation
  • Real-world vulnerabilities introduced by AI-generated code
  • Key considerations for developers using AI tools

Why Attend? Witness live, unpredictable AI demos that showcase the double-edged sword of AI in coding. Whether you’re an enthusiast, developer, or decision-maker, this talk will shine a light on potential pitfalls, ensuring you stay ahead of the curve in AI-powered coding.

Key Takeaways:

  • Understand the unique risks posed by AI-generated code
  • Witness firsthand the unpredictability of live AI demos
  • Gain strategies for mitigating AI-associated risks in your projects

Join us for an eye-opening session on the duality of innovation and risk in the age of AI-driven code generation.



Lawrence Crowther


Lawrence leads the solutions engineering team for Snyk in Asia Pacific and Japan. He leads a team of technologists who help grow the overall APJ business and evangelise Snyk’s products and solutions