The Database Dilemma: Why AI’s Appetite is Breaking the Foundation
The age of AI is putting an unprecedented strain on enterprise databases, and organizations are already finding out the hard way that letting autonomous agents loose on production data without automated guardrails is a recipe for catastrophic downtime. Ryan McCurdy, Vice President of Marketing for Liquibase, warns that with 97% of their community allowing some form of AI to touch production databases—but only 28% enforcing strict governance—the industry is setting itself up for a massive regulatory reckoning. To survive this volatile new era, IT leaders must abandon manual ticketing processes and embrace “policy as code,” ensuring that the foundational data feeding their voracious AI models is standardized, secure, and auditable across every environment.
