Hallucination Guardrails for Infrastructure
Concrete validation layers - schema checks, dry-runs, policy gates, and constrained output formats - that stop AI-generated infrastructure mistakes before they reach production.
Responsible AI
Operational controls that keep AI-driven infrastructure changes safe, traceable, cost-bounded, and human-accountable.
15 minutes read
Categories:
Audit Trails and Explainability
Record every AI proposal and its rationale, and structure decisions so they remain explainable and reviewable long after the change was applied.
FinOps and Cost Control for AI
Manage LLM token spend and the cloud infrastructure cost that AI agents create, using budgets, monitoring, and architectural patterns that prevent runaway expenditure.
Human Oversight and Accountability
Define clear ownership so a named human is accountable for every AI-driven infrastructure change, with explicit roles, sign-off requirements, and escalation paths.