Continuous Privacy Monitoring

Privacy compliance isn't a one-time achievement but requires continuous monitoring and adjustment. Production systems need real-time monitoring of privacy controls, consent rates, data flows, and potential breaches. This monitoring must balance thoroughness with performance impact, using sampling and aggregation techniques to minimize overhead.

Effective monitoring combines multiple data sources including application logs, network traffic, database queries, and user behavior. Machine learning can identify anomalous patterns suggesting privacy issues. Alert systems notify teams of potential problems before they become compliance violations.