Shadow AI, Messy Data, Real Risk: How Privacy Teams Build AI Governance That Works

Shadow AI, Messy Data, Real Risk: How Privacy Teams Build AI Governance That Works https://bit.ly/4t7KvI6 AI governance works when privacy teams have visibility into AI use cases, the data AI systems touch, and the guardrails that keep risk from scaling not just policies on paper. AI is moving fast, but the data behind it is often messy, fragmented, and risky. In this webinar, privacy leaders from UPS, Verily, PwC, and BigID share how to build AI governance that actually works starting with visibility, not policy. You’ll learn: 👉 How to get messy data AI-ready without boiling the ocean 👉 Why AI governance starts with understanding the use case and the data 👉 How to reduce Shadow AI through guardrails instead of bans 👉 A practical model for scaling AI governance with existing resources Featuring insights from: James Boxton (UPS) Alexis Hall (Verily) Jake Meek (PwC) Heather Kuhn (BigID) ▶️ Watch the full session to learn how privacy teams can keep AI safe, sane, and worth the risk: https://bit.ly/4t7KvI6