From Data to AI: Securing the Modern Attack Surface
Overview
| Experience | In Person |
|---|---|
| Track | Cybersecurity |
| Industry | Enterprise Technology, Public Sector, Financial Services |
| Technologies | Data Marketplace, Databricks Apps |
| Skill Level | Intermediate |
GenAI is reshaping the attack surface—from cloud infrastructure to a layered ecosystem of data, models, and applications. As organizations build on platforms like Databricks, data becomes both the foundation of AI innovation and the primary source of risk.
This session explores how to secure AI applications end-to-end across infrastructure, data, models, guardrails, and runtime. Attendees will gain a clear framework for understanding AI risk across the full lifecycle and see how visibility into systems like Unity Catalog help teams understand data exposure, model usage, and emerging risks across the AI lifecycle.
Finally, we’ll show how Wiz integrates with Databricks to bridge security and data teams—surfacing insights, identifying risks, and enabling a unified approach to securing AI from code to runtime. Attendees will leave with practical strategies to reduce AI risk without slowing down development.
Session Speakers
Jiong Liu
/VP of Product Marketing
Wiz