Guardrails for enterprise AI agents — what's actually load-bearing in production (opens in new tab)

Field notes from two years building production agents at a Fortune 100 Most writing about AI guardrails reads like a vendor pitch — a layered architecture diagram, a list of capabilities, a security-checklist deliverable. The reality of what actually keeps an enterprise AI agent system safe in production is narrower than that, less glamorous, and mostly stuff that existed before LLMs. IAM, network egress, audit trails, secrets management. With a few new controls bolted on for the agent layer....