1. A method for selectively evolving phishing detection rules with a computing system, the method comprising: intercepting data with the computing system, the intercepted data being sent from a server and intended for a client; examining, with the computing system, the intercepted data against a rule set, the rule set comprising a plurality of rules related to potential phishing indicia of the intercepted data, the examining including (a) determining, as a result of the examining, a categorization from a plurality of categories of the intercepted data, (b) determining, as a result of the examining, at least one categorization-specific phishing detection criterion of the intercepted data, and (c) determining, as a result of the examining, at least one parameter score, the at least one parameter score comprising a likelihood of a presence of phishing content in the intercepted data based on at least the categorization-specific phishing detection criterion; comparing the at least one parameter score against at least one rule generation criterion; generating, with the computing system, a new rule and adding the new rule to the rule set to establish a second rule set if the at least one parameter score satisfies the at least one rule generation criterion; and recursively examining, with the computing system, the intercepted data against the second rule set to determine further rule set evolution, the examining including (a) determining, as a result of the examining, a second categorization from the plurality of categories of the intercepted data, (b) determining, as a result of the examining, a second at least one categorization-specific phishing detection criterion of the intercepted data, and (c) determining, as a result of the examining, a second at least one parameter score, the second at least one parameter score comprising a likelihood of a presence of phishing content in the intercepted data based on at least the second categorization-specific phishing detection criterion.