Microsoft Dataverse - Enable semantic Dataverse data understanding for agentic use
🚨 The Signal: Dataverse will automatically derive semantic meaning for AI agents, improving their understanding of business data. This enhances agentic AI capabilities but requires careful governance to prevent data overexposure.
The Impact
Security teams and Dataverse admins are affected by new data exposure risks from AI agents accessing semantically enriched data.
- Security teams face new risks from AI agents accessing sensitive data.
- Dataverse admins must apply governance controls to prevent data overexposure.
- Compliance officers need to review data handling policies for AI agent interactions.
The Action
- Review Dataverse environments for sensitive data that AI agents could access.
- Familiarize with new governance controls for semantic context at environment, table, and signal levels.
- Develop policies for AI agent data access and usage within Dataverse.
- Monitor AI agent interactions with Dataverse data for anomalous activity.
Domain: Agentic-AI · Impact: high · Workload: Other