Sponsored by: OneTrust | Operationalizing the DASF: Reducing AI Risk with Runtime Enforcement
Overview
| Experience | In Person |
|---|---|
| Track | Governance & Security |
| Industry | Communications, Media & Entertainment, Retail & Consumer Goods, Financial Services |
| Technologies | AI/BI, Unity Catalog |
| Skill Level | Intermediate |
As organizations scale data and AI initiatives on Databricks, speed and trust must advance together. This session explores how modern enterprises can operationalize trusted data and AI by combining security principles with actionable governance guardrails. Learn how the Databricks Data and AI Security Framework can be extended with policy‑driven controls that ensure consistent access, use, and governance of data across analytics and AI workflows. Join us for this discussion and live demo to see how guardrails can be applied across the AI lifecycle to help organizations manage risk, respect data‑use requirements, and demonstrate compliance without disrupting innovation. Attendees will gain practical insight into turning governance from static policies into enforceable, auditable controls that scale with Databricks - enabling confident, responsible data and AI initiatives at enterprise scale.
Session Speakers
David Wells
/Senior Specialist Solution Architect
Databricks