Governance is easy to treat as paperwork that arrives after the technical design. That separation gets harder to defend when a product collects data from physical systems, makes automated decisions or operates in a regulated environment.
Event 33 brought policy and engineering into one discussion. The panel covered AI governance, data privacy, cybersecurity, operational resilience and the practical effect that regulation can have on product teams.
For engineers, the immediate point is that policy often becomes architecture. Rules about who can access data change identity and permission models. Retention requirements change data design. Security obligations change update and monitoring plans. Requirements around automated decisions can change what a team needs to log, explain or keep under human control.
None of that means every connected product needs a compliance programme before it has a prototype. It does mean teams should know which assumptions will become expensive if they discover the constraint after deployment.
The Event 33 archive page records the panel context and the organisations involved.
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