From AI Theory to Control

Wednesday, August 12, 2026
12:00 PM - 12:30 PM
AI Risk Summit Strategy Track (Salon I)

About This Session

The shift from AI tools to autonomous agents has outpaced our risk models. Enterprise environments face a sprawl of tool access where agents operate with a blast radius that moves at machine speed. This creates a disconnect between the permissions granted and the actual oversight required to manage those agents in production. The only way to manage the risks of AI at machine speed is with human-AI systems.
We will focus on "Context Based Control" policies that balance agentic permissions with situational measurement of the appropriateness of their actions. We will also address designing probabilistic systems, informed by rules and context, that help you balance human oversight and machine work.

Speaker

Cal Al-Dhubaib

Cal Al-Dhubaib

Principal Technologist, Cloud and AI - Rubrik

Cal is a globally recognized data scientist, entrepreneur, and IAPP Certified AI Governance Professional advancing the practice of Trust Engineering for AI. His work focuses on how organizations design, deploy, monitor, and govern AI systems at scale. He leads emerging tech thought leadership at Rubrik, where he focuses on AI, cyber resilience, and enterprise trust.

Cal founded Pandata, an AI design and development firm serving regulated industries including healthcare, energy, and financial services. He grew the firm to serve clients including Cleveland Clinic, Progressive Insurance, and FirstEnergy, leading to its acquisition by Further in 2024. He has spoken at MAICON, ODSC, AI Summit, and DataCamp, with insights featured in Forbes, Nasdaq, VentureBeat, and Open Data Science.