Zero trust and complexity management represent a new basic combination for a closed-loop approach to anomaly detection and mitigation for critical infrastructures.
This abstract introduces a set of functional blocks that could enable automation and assurance for secure networks. These blocks are designed to reduce/simplify the impact of anomalies and/or anomalous behaviors on complex systems.
A closed-loop system uses feedback where a portion of the output signal is fed back to the system to reduce errors and improve stability. Access control and intelligent networks can generate data that could be compared with several patterns for gap analysis and feedback retroaction.
