A OneTrust webinar on 2024–2025 privacy readiness argues that compliance programs need to shift from policy-heavy to workflow-heavy. The practical message: automate consent and data-subject request operations and treat AI governance as a core privacy control, not a side project.
OneTrust flags “next wave” privacy readiness: automate privacy ops and formalize AI governance
OneTrust published a webinar resource focused on preparing for tighter privacy regulations in 2025 and beyond. The session frames the regulatory environment as increasingly complex and urges organizations to update compliance strategies with stronger data governance practices and more operational rigor.
Speakers also emphasized the role of AI in governance: AI can improve efficiency, but it introduces new privacy and compliance risks that need to be managed through privacy-by-design and explicit AI governance. A concrete recommendation was to automate privacy workflows—especially consent management and data-subject request (DSR) handling—to reduce manual burden and improve consistency as regulatory expectations rise.
- Compliance is becoming an execution problem, not a documentation problem. If your consent, retention, and DSR processes still depend on spreadsheets and ad hoc tickets, scaling to “2025 and beyond” rules likely means higher operational risk and slower response times.
- AI governance needs to plug into privacy operations. Treating AI risk reviews as one-off checkpoints won’t hold if AI systems are changing frequently; teams need repeatable controls aligned with privacy-by-design.
- Automation is a risk-control lever, not just efficiency. Automating consent and DSR workflows can reduce human error and improve auditability—two areas that matter when enforcement scrutiny rises.