The AI governance gap: What leaders need to control before regulators ask
Contributors:
Daniel Hansen
Technical Advisory Director
BigID
Aaron Weller
AIGP, CIPP/US, CIPM, CIPT, FIP
Leader, Privacy Innovation & Assurance
HP
Brought to you by BigID
Broadcast date: 16 July 2026
Time: 08:00–09:00 PDT, 11:00–12:00 EDT, 17:00–18:00 CEST
As organizations adopt AI tools and autonomous systems, privacy and security teams are facing growing risks around sensitive data, regulatory exposure and vendor oversight, often without clear visibility into how AI is accessing or using enterprise data.
The bigger challenge is putting governance into practice with the visibility, controls and vendor accountability needed to keep pace with AI adoption across the enterprise.
In this webinar, we will explore how organizations can strengthen AI governance, reduce privacy and compliance risk, and set clearer expectations for AI vendors around data usage, audit rights, liability and transparency.
Key takeaways:
- Why most AI governance programs are already playing catch-up.
- The visibility and inventory gaps creating hidden privacy and compliance risk.
- What organizations should require from AI vendors to reduce legal and regulatory exposure.
- How to classify and govern sensitive data used by AI systems.
- What operational AI governance looks like beyond policy documents and frameworks.
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This web conference is co-hosted and sponsored by BigID and free of charge to you. The IAPP and the sponsor will use your registration information each in compliance with its own privacy notices.
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Eligible CPEs: AIGP, CIPP/A, CIPP/C, CIPP/E, CIPP/US, CIPM and CIPT.
1.0 CPE credits
Contributors:
Daniel Hansen
Technical Advisory Director
BigID
Aaron Weller
AIGP, CIPP/US, CIPM, CIPT, FIP
Leader, Privacy Innovation & Assurance
HP
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