One of the most consequential design choices in Ethyca’s AI classifier is what it does not see.
By classifying using metadata only — schemas, column names, types — the system avoids exposing sensitive data while still delivering high accuracy.
Security and scale come from
HBR highlights five tensions leaders face with AI adoption — speed vs. safety, autonomy vs. control, innovation vs. accountability.
These aren’t temporary conflicts. They’re structural, and they surface where governance meets execution.
Via HBR → buff.ly/Jn38Uht
GDPR and DORA weren’t written together — but financial services firms have to make them work together.
This IAPP piece shows why integrated compliance frameworks matter more than parallel ones as EU expectations mature.
Silos break first. More here → fid.es/3N0VHWl
MIT Sloan on the emerging agentic enterprise: as AI systems gain autonomy, governance has to evolve from static oversight to embedded constraints that operate continuously across systems.
Full story from MIT Sloan → fid.es/4b31AMA
Canada’s privacy and AI governance landscape kept moving in 2025 — even without major new legislation.
IAPP’s year-in-review shows regulators relying on existing tools to shape accountability, transparency, and AI oversight.
Policy clarity is emerging through practice.
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