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Google's DORA report found 90% of software teams now use AI at work daily. 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.
In this webinar, you'll learn
- How agentic coding tools are accelerating privacy risk creation, in engineering and across the rest of the business
- Where vibe-coded apps skip the lawful basis, consent, and data mapping steps a privacy program depends on
- How to close data map and RoPA gaps created by AI-generated code, without adding manual review work
- How Privado AI's agents scan and assess any app in the enterprise, regardless of who or what built it
UPCOMING LIVE WEBINAR
Governing Vibe-Coded Apps: Privacy When Anyone Can Build
August 12, 2026
8:00 am
Pacific
•
11 AM
Eastern