{"id":15488,"date":"2026-09-29T10:45:57","date_gmt":"2026-09-29T05:15:57","guid":{"rendered":"https:\/\/threatcop.com\/blog\/?p=15488"},"modified":"2026-09-29T10:45:59","modified_gmt":"2026-09-29T05:15:59","slug":"runtime-ai-governance-cost","status":"publish","type":"post","link":"https:\/\/threatcop.com\/blog\/runtime-ai-governance-cost\/","title":{"rendered":"Runtime AI Governance: What It Actually Costs to Run"},"content":{"rendered":"\n

Runtime governance costs real compute because catching an AI agent doing something wrong while it happens, not after, means analyzing every action as it occurs, and the first working versions of this idea were expensive: one documented approach added nearly a quarter more compute to run. The fix organizations are converging on is not less governance. It is tiered governance, where cheap checks handle most traffic and expensive analysis is reserved for what actually looks suspicious.<\/p>

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