Brought to you by Feroot

Broadcast date: 19 March 2026

Time: 10:00–11:00 PST, 13:00–14:00 EST, 19:00–20:00 CET

Most organizations treat consent and preference (C&P) as a configuration exercise: deploy a CMP, set up rules by region, publish a banner, and assume the rest works. But real-world C&P programs fail in the gaps—between policy and implementation, between banner choice and runtime outcomes, and between “point-in-time checks” and the nonstop pace of website/app changes.

In this webinar, Ivan Tsarynny will unpack why auditing CMP platforms at scale is operationally challenging (pages × properties × geographies × languages × consent states × vendor behaviors) and why sampling creates blind spots that can turn into regulatory and reputational exposure. He’ll walk through a practical closed-loop audit model that verifies the full chain: policy → user experience → consent signal → downstream tracker/script firing → evidence → remediation → re-test.

Attendees will learn how to measure program effectiveness beyond binary “banner present” checks, including how to track drift, detect vendor creep, validate multiple policies for multiple regulations, and produce defensible evidence that consent controls are working day after day—while amplifying the value of existing investments in CMP and privacy tooling. 

Key takeaways:

• Explain internally why CMP configuration ≠ compliant outcomes, and where audits typically break down (runtime reality vs. assumptions).
• Design a closed-loop C&P audit process that validates banner behavior and downstream vendor firing across consent states (accept/decline/no action).
• Scale testing across multiple sites/pages/flows/geos by using a scenario matrix (rather than manual page-by-page scripting).
• Measure C&P program performance with operational KPIs (drift rate, violation density, time-to-remediate, “evidence coverage”).
• Operationalize continuous auditing to increase ROI on existing CMP and privacy/GRC investments.