Prompt Rules Are Suggestions, Not Guardrails
Three production databases deleted in nine months by AI agents that understood their rules and violated them anyway. The agents aren't the problem. The deployments are.
On AI governance, agentic engineering, and what actually matters in enterprise technology.
Three production databases deleted in nine months by AI agents that understood their rules and violated them anyway. The agents aren't the problem. The deployments are.
Azure lets you deploy SQL Server VMs with a single-disk storage pool and never mentions that the column count is permanent. By the time you're chasing I/O, the only fix is a rebuild.
When you stop protection and retain data in Azure Backup, the expiry dates on your recovery points become cosmetic. They display. They don't trigger. Your data lives forever — and so does the bill.
AI collapsed the cost of building software to near zero. The cost of governing it didn't change. Most companies haven't noticed the gap yet — but their breach reports will.
Azure Advisor says you're optimized. The audit says otherwise. Here's what I actually find when I look at where the money goes across enterprise tenants — and none of it is in the recommendations dashboard.
AI didn't make everyone a developer. It made everyone think they're a developer. The difference matters more than most companies realize.
Confidence without understanding is the highest-risk pattern in enterprise IT. The 6 Ps aren't a bumper sticker — they're the methodology that separates the engineer who prevents the outage from the one who causes it.