As AI accelerates software development, organizations are rapidly increasing the speed, scale, and complexity of code production. While these advances unlock meaningful productivity gains, they also introduce new challenges across security, governance, and supply chain integrity.
This executive engagement convenes senior technology leaders to examine the evolving landscape of the AI software supply chain security. As development cycles compress and dependency ecosystems expand, traditional approaches to securing software late in the lifecycle are being tested—prompting a shift toward more preventative, secure-by-design models.
Through candid, peer-led discussion, participants will explore how organizations are balancing innovation with security, strengthening verification across the supply chain, and rethinking how trust is established from the very start of the development process. The conversation will focus on leadership strategies for mitigating emerging threats while enabling continued speed, experimentation, and growth in AI-enabled environments.
