An artificial intelligence agent destructive loop occurs when an agent repeatedly issues writes, deletions or other consequential actions after a mistaken interpretation or failed condition. Automation can amplify one error across many resources before a person notices.
Prevention requires infrastructure controls such as bounded scope, idempotency, rate limits, aggregate trip wires and approval for irreversible work. Empty or unusually broad selections should fail closed rather than matching every available target.
