Contextual Policies in Omnigent: Using session state to better govern AI agents

Databricks describes contextual policies in Omnigent, a framework that leverages session state to implement more effective governance and control mechanisms for AI agents. By maintaining and utilizing session context, this approach enables policies to adapt dynamically to specific agent behaviors and interactions rather than relying solely on static rules. This method improves the ability to guide and constrain AI agent actions within appropriate boundaries based on real-time operational context.

Source: Databricks | 2026-07-06