7 Patterns That Stop Your AI Agent From Going Rogue in Production

Your AI agent works flawlessly in development. It passes every test, handles your scenarios perfectly, and impresses stakeholders in the sprint review. Then you deploy it. Within 48 hours, it burns $400 in API costs processing a recursive loop, emails a customer their neighbor's personal data, and confidently generates a SQL query that drops an index on your production database. This isn't hypothetical. It's a pattern playing out across the industry in 2026.