Google's DORA report found that 90% of the roughly 5,000 technology professionals surveyed use AI at work. From a data privacy lens, this means more data processing changes, more code pushed live with less human and privacy team oversight, and code no longer coming only from engineering.
Marketing, ops, and RevOps teams are now building and shipping their own apps with the same tools.
Privacy programs are built around checkpoints that assume a developer and a pipeline: a data map update when a new system goes live, a Privacy Impact Assessment (PIA) or Data Protection Impact Assessment (DPIA) before high-risk processing, a code review before deployment.
Vibe coding lets both engineers and non-engineers skip past all three. An app nobody in privacy signed off on still needs a documented lawful basis, a notice, and its own line in the Record of Processing Activities (RoPA), whether legal knew it existed or not.
Join this webinar to learn how vibe coding is accelerating privacy risk creation across the enterprise, inside and outside engineering, and how Privado AI code scanning and AI agents can scale data maps, assessments, and risk discovery to every app in the business, no matter who or what built it.

Privacy regulation and enforcement is continuing to get stricter. Find out how many of the most visited websites have compliance risks and discover the reasons why.

The shift to evidence-based privacy. We are experiencing a seismic shift—from a world that relied on trust to one that demands evidence.
UK's ICO announced a 2025 strategy to reshape online tracking. Prepare for audits with automated website compliance monitoring.