Fiduciary AI: Agents need to prove trustworthiness, not just ability

Presented by Vijil In dynamic environments where users, data, workflows and attack techniques change continuously after deployment, AI agent trust has become a runtime problem. Most organizations still treat trust as a pre-deployment exercise, declaring an agent production-ready and launching it after it passes sandbox evaluations and performs successfully in security tests. Unfortunately, that trustworthiness breaks down the moment an agent begins interacting with the real world. "The core of the problem is that CIOs and business owners think about AI systems the way they think about Saa