Abstract: A method for automated evaluation of a SPAM filter rates a sender-receiver pair based on traffic information related to the sender-receiver pair. A SPAM filter intercepts electronic messages transmitted between the sender-receiver pair and classifies them as either SPAM or HAM. On comparing the rating for the sender-receiver pair and the classification for an electronic message between the sender-receiver pair, the method generates a metric indicating the reliability of the spam filter. Repeating these steps for more than one electronic messages and related sender-receiver pairs, the method produces a set of metrics. One or more of the metrics from the set of metrics are used to calculate an evaluation factor for evaluating the SPAM filter.

Abstract: System and methods for injecting content into a response for improving client-side security. The system includes a content injection service external to network edges of at least one system. The content injection service receives a request from a client within the at least one system and identifies or anticipates a potential threat associated with the response. The content injection service is configured to determine an appropriate counter for the identified or anticipated potential threat and in response injects content into the response according to the potential or anticipated threat identified.