Securing AI-Speed Development: Webinar Explores New Operating Model for Security Teams

AI is enabling development teams to ship 10 to 50 times more code, but security teams still operate at human speed, creating a growing bottleneck. A new webinar from Chainguard, titled “The True Cost of Building at Machine Speed,” addresses how security teams can keep pace with AI-driven development without letting risk scale accordingly.

The webinar examines the limitations of traditional CVE-driven remediation when software output multiplies dramatically. It highlights that simply increasing scanning volume can lead to larger backlogs rather than better security. The session also explores how AI expands the software attack surface, why existing vulnerability management processes may struggle at machine scale, and where organizations need stronger guardrails before code reaches production.

Beyond technical controls, the webinar covers governance challenges. AI-assisted development is becoming an engineering and business decision, requiring security leaders to define risk ownership, quantify organizational exposure, and communicate these choices to executives and boards. The key takeaway is that slowing developers down is not the answer; instead, security must adopt an operating model designed for the speed and scale of modern software development.

Viewers will gain a practical framework for securing AI-driven development, focusing on secure-by-default practices and controls that remain effective as AI adoption grows. The webinar is available on demand and is part of Chainguard’s ongoing efforts to help organizations manage software supply chain security in the age of AI.