The New Standard for Data Access Governance (DAG)

Traditional DAG Wasn't Built for the AI Era. 

AI agents don't just browse, they query — executing against the permissions they've been granted, at machine speed, 24/7. But they're just the newest layer on an already complex problem: over-permissioned employees, dormant service accounts, external collaborators, and sensitive data sprawled across cloud and on-prem environments. 

Download the white paper to learn what integrated DAG actually requires in the age of AI — and how to get there.

• Go beyond permissions: understand what sensitive data every user, service account, and AI agent can actually reach
• Eliminate overexposed data: automatically identify and remediate high-risk access before it becomes an incident
• Govern AI agents like human users: extend the same access controls to LLMs, MCP-connected tools, and automated pipelines
• Detect real threats faster: correlate activity with data sensitivity to cut false positives and respond with confidence
• Scale without friction: delegate entitlement reviews to data owners with the context to act, not just approve