The answer isn’t just “simplify.” The answer is: model it, specify it, automate verification, and keep humans focused where it counts.
Most frame collaboration with regulators as either a hope or a warning. But what if it became a method? What if compliance didn’t feel like a gauntlet, and oversight didn’t sound like a punishment?
In this panel, we apply the themes of model-based governance for complex systems introduced in the preceding talk. We’ll explore how regulators and regulated entities can co-create trust by aligning around shared models of assurance. When both sides utilize structured, transparent, and machine-verifiable systems to assess risk, demonstrate control effectiveness, and respond to change, the relationship evolves.
Regulation stops being a game of cat and mouse and starts becoming a shared feedback loop for safer systems and more intelligent decisions.
We’ll discuss topics such as:
- How regulation could evolve when assurance becomes autonomous and continuous.
- How model-based approaches give both regulators and businesses a shared vocabulary.
- Why collaborative assurance doesn’t mean less accountability, it means more transparent accountability.
- Highlight areas for immediate success and new modes of failure in regulator-industry collaboration.
- Share ideas for how to avoid weaponized buzzwords (“collaboration,” “agility,” “alignment”) and focus on shared, verifiable outcomes.
