CXO Dinner - Singapore

Addressing AI Governance at Scale

SYNOPSIS

A private conversation for technology and security leaders navigating the governance gap in AI-assisted software delivery.

AI is writing production code. Code that ships to real customers, processes real transactions, and carries real liability.

GitHub reports over 40% of new code on its platform is now AI-generated — and climbing. The organizations moving fastest aren't the ones who slowed AI adoption. They're the ones who applied zero-trust principles to their AI delivery pipeline before an incident forced the issue.

The question isn't whether to use AI in your delivery lifecycle. It's whether your security posture has kept pace.

Most organizations have a governance gap. AI agents are pulling dependencies, generating code, and invoking tools with a blast radius that traditional perimeter security was never designed to contain. Zero-trust architecture, supply chain attestation, and runtime policy enforcement are no longer optional; they are the foundation.

Docker is convening a private roundtable for CTOs, CISOs, and VPs of Engineering to address AI governance at the infrastructure level:

• AI supply chain security
• Zero-trust for AI workloads
• Runtime policy enforcement
• Securing the model layer

If you're accountable for what goes into production, and for what you can prove when your auditors, board, or regulators ask, this is the conversation worth having.