Security and compliance
Ensure data security and compliance with data masking, monitoring, and change traceability
The potential benefits of AI accelerating speed to market are huge – but for IT leaders tasked with ensuring AI becomes central to business innovation, it creates a unique set of challenges managing a database infrastructure that was never built to support AI agents in the first place.

We recently caught up with Ken Muse (Staff DevOps Architect and forward-deployed AI integration engineer GitHub), Steve Jones (Database and AI Advocate, Redgate Software), and Huxley Kendell (Solution Engineer, Redgate Software) for an open discussion on ways AI is accelerating code delivery, and how to ensure your database pipeline is ready for it:
As AI accelerates the pace of change, see how easy it is for developers and engineers to increase the speed and quality of database changes, without sacrificing the visibility or control that teams need. Access the latest resources and build at your own pace, or schedule time with us and we can talk through your specific environment. Either way, you’ll leave with everything your team needs for AI assisted database delivery without the risk.
AI DISCLAIMER: AI-generated outputs can and do contain errors. Redgate recommends that all AI-generated database changes are reviewed and validated before deployment to production.
See how AI-generated schema changes from custom agents are validated by Redgate Flyway before a migration script is ever generated