Notas del episodio
This narrated edition of “Sensitive by Default: Designing Systems That Assume Everything Matters” walks through what happens when you stop pretending you can neatly separate “sensitive” from “non-sensitive” data. We explore how modern stacks turn telemetry, feature flags, observability traces, and AI interactions into high-value intelligence, even when no one labeled it confidential. From there, the episode unpacks why traditional data classification schemes create a comforting mirage and how risk actually concentrates in the messy middle of real data flows, logs, and analytics platforms…
Web: share.transistor.fm
