Govern at Scale: Database Change Control for the Agentic AI Era

AI investment is accelerating, and board pressure to show returns to customers, regulators, and shareholders is intensifying. Yet as AI generates code faster than pipelines can govern it, database change management risks becoming a bottleneck that erodes expected gains in deployment frequency. Leaders are accountable for getting value to market faster while managing the regulatory, financial, and reputational exposure if something goes wrong — from downtime and remediation to failed audits and compliance exposure. So how can organizations ensure governance keeps pace with AI without slowing the returns it is expected to deliver?

Organizations are examining how database governance can keep pace as the volume and velocity of change increase, whether changes are human-written or AI-generated. This means bringing the same checks and balances already applied to application code into the database layer, with clear policies, traceability, and controls before changes reach production. By making database governance a foundational engineering capability, organizations can reduce incidents, respond to audits faster, and scale AI initiatives without creating another bottleneck to value.

Join industry peers to discuss where AI-driven development is creating new bottlenecks, how organizations are approaching database governance and audit readiness, and what it takes to balance speed with safety, compliance, and cost control. Together, we’ll share practical lessons and priorities for governing database change at scale.

Redgate puts businesses in control of their databases, supporting automation with confidence, enabling secure scaling, and helping people to realize value and unlock growth through AI. We’ve specialized in database management software for over 25 years.

More than 200,000 data professionals across the globe, including 92% of the Fortune 100, rely on Redgate’s solutions to enable automation, resilience, and efficiency throughout the database lifecycle, ensuring they get the most value out of their databases.