Firewall is a security system for network, that controls the network traffic based on firewall rules. Firewall depends on the policy configuration, but managing that ?rewall policy is complex. Existing policy analysis tools, such as Firewall Policy Advisor and FIREMAN, they can only detect the policy anomaly cannot resolve these anomalies, and detection time was also increased. Therefore, I represent an innovative policy anomaly management framework for firewalls, it is a rule-based segmentation technique. In which a visualization-based firewall policy analysis tool called Firewall Anomaly Management Environment (FAME).Then the searching space and detection time for resolving conflicts was also reduced by the correlation process. It used for discovering and resolve anomalies in firewall policies.