AI-generated code: Best practices to stay secure, private, and compliant

In the past year, AI’s usage has grown massively to where an estimated 92% of developers are using AI coding tools. While the benefits of being able to increase productivity and release velocity are too great to ignore, there are also some challenges that must be addressed. In this webinar, you’ll be joined by Adam Kentosh, Sr. Director, Sales Engineering, and Jonny Steiner, Product Marketing Manager, of Digital.ai as they explain how to make AI code secure, private, and compliant. They will share a variety of best practices, including: • Avoiding security vulnerabilities by applying policies specified as code enforcement • Mitigating risks of copyright infringement with automated checkpoints on AI-assisted code • Ensuring compliance with automated audit reports with full traceability • And more Tune in now to find out how you can overcome the vulnerabilities of AI generated code and keep your data private.