The Secure AI Software Factory: A Guide to Governing AI-Generated Code
AI coding assistants are transforming software delivery, but they introduce a new set of challenges for security, legal, and compliance teams. How can your organization embrace the speed of AI without losing control or introducing new risks?
In this on-demand webinar, we will demonstrate how AI-native application security platforms position security teams to become enablers, not blockers. You’ll learn how to ensure the quality of AI output is as good as, or even better than, a human developer’s, while integrating seamlessly into your existing workflows and protecting your organization from emerging vulnerabilities.
Join us to learn how to:
- Gain Visibility: See and track all AI-related tooling and code changes across your software factory, from the IDE to your CI/CD pipelines.
- Assess Risk: Understand if AI-generated code introduces more or less risk than human-written code, using real-world data and analysis.
- Implement Governance: Establish effective controls and policies to ensure AI outputs meet your security and quality standards, turning a potential compliance and legal nightmare into a streamlined process.
Presented by:
Jimmy Xu
Field CTO
Amir Kazemi
Director of Product Marketing
Derek Smith
Practice Director of Azure, Trace3
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