How do you build an early warning system for reputation threats?

An early warning system for reputation threats turns continuous monitoring into timely action, on the principle that the value of seeing a threat early is lost if no one is alerted or responsible. It has three parts. Continuous monitoring across the layers where threats emerge – search, the AI engines, social, Wikipedia, and news – so the signals are captured at all times. Thresholds tied to alerts, so the system distinguishes meaningful movement from noise and fires when something crosses a defined line: a sharp rank shift, a change in the AI narrative, unusual Wikipedia activity, a spike in social velocity. And named owners for escalation, so when an alert fires a specific person is responsible for assessing and acting, rather than a notification everyone sees and no one owns. The discipline is in the threshold tuning and the ownership – too sensitive and the alerts get ignored, too loose and threats slip through, and without named owners even a good alert dies in an inbox. We build early-warning logic into the monitoring we run through IMPACT™, AIQ™, and WikiAlerts™.