Securing Vibe Coding: Addressing the Security Challenges of AI-Generated Code To view this email as a web page,
click here | | | | | | | | | The rise of “Vibe Coding”—leveraging AI tools for software development—is revolutionizing how teams build and ship code. While this trend enhances productivity and democratizes development, it introduces a new class of security risks that traditional secure coding practices weren't designed to handle.
This webcast will explore the shifting landscape of software development in the era of AI-assisted coding, examining the types of vulnerabilities unique to Vibe Coding and how to assess the trustworthiness of generated output. We'll break down best practices for securing AI-generated code at scale—from evaluation methodologies to architectural safeguards—so that teams can confidently adopt AI while minimizing risk.
| | How to identify and mitigate common security flaws in AI-generated code, including emerging patterns of vulnerability Strategies for integrating secure coding practices into AI-assisted development workflows Architectural approaches for scaling AI-generated applications without sacrificing security or code integrity |
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| | | | | SC Media webcasts offer programs with leading IT security vendors moderated by CyberRisk Alliance editorial staff.
Attendees may be eligible to receive 1 CPE credit for each one-hour webcast they attend, subject to their respective industry association’s approval. | View Privacy Policy and Terms and Conditions
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