Database teams weigh agentic AI execution rights and control

The article warns that autonomous agents can make technically correct changes that ignore business rules, regulatory retention policies or hidden dependencies. It recommends a least‑privilege model—granting only the permissions needed for a task—and a controlled workflow: observe, analyze, propose, review, execute, validate, record. Tools such as dbForge AI Assistant can automate routine analysis and script generation while keeping the final decision in human hands. The piece notes that only 7% of the 88% of organizations using AI in 2025 have fully scaled it, underscoring the need for clear governance before granting write access to production databases.