Description
How do you govern AI agents once they can act across multiple models, tools, and business systems? Watch the full session → https://www.databricks.com/resources/webinar/agents-work-shipping-agentic-apps-scale Patrick Wendell (Databricks), Peter Steinberger (creator of OpenClaw, OpenAI), and Thibault Sottiaux (Head of Codex, OpenAI) break down what it takes to secure AI agents at scale — from gating agent access to business systems through a governed gateway, to OAuth-based read/write permissions, to why the only real way to govern intelligent systems is with another layer of intelligence watching them. They also cover Codex's sandbox vs. full-autonomy modes and why enterprises need a layered "defense in depth" security model. 0:00 How enterprises gate agent access to business systems 1:22 Why you need AI to monitor AI 1:57 Sandbox mode vs. full autonomy in coding agents 3:04 The layered "defense in depth" security model Explore Unity AI Gateway → https://www.databricks.com/product/artificial-intelligence/unity-gateway Full session → https://www.databricks.com/resources/webinar/agents-work-shipping-agentic-apps-scale #AIGovernance #AIAgents #EnterpriseAI #UnityAIGateway #Databri…
Description from YouTube. Full content on the video page.
More from Databricks
NewsTeach AI how your business actually runs
Model intelligence is no longer the bottleneck for enterprise AI adoption because modern frontier models easily handle complex reasoning tasks. Business value requires providing these models with specific organizational context and metadata about internal processes to create a competitive advantage.
ReleasesThe Unity Gateway Cli
The Unity Gateway CLI allows users to configure and manage governed AI coding agents directly from the terminal with workspace authentication and budget tracking. Administrators can centrally configure smart routing, model selections, MCP servers, and skills via JSON to distribute standardized AI tools across development teams.




