As organizations adopt AI-native architectures and autonomous agents across customer, network, IT, and business operations, they face a growing challenge - trust.

Trustworthy AI means more than intelligent decisions. It requires the ability to explain what happened, why it happened, what evidence informed the decision, and whether the outcome aligned with policy, governance, and business intent.

In this unique hackathon challenge in Dallas, on 1-4 October 2026, 220 developers became proof seekers, turning trustworthy AI into working proof. They entered a simulated autonomous enterprise spanning customer, IT, network, and data environments. Working within an AI-native ecosystem, 40 teams tracked the movements, decisions, and interactions of autonomous agents as they navigated the digital landscape.

Success wasn't measured by the sophistication of the AI, but by the strength of the evidence that surrounded it.