Abstract: In a method and system for reviewing, searching and analyzing raw data in a data corpus a corpus optimization module converts the raw data to an optimized corpus. A search composition module operates on the optimized corpus to derive a set of search parameters and a concept extraction module extracts a set of initial concept clusters using the set of search parameters. A hybrid review module receives the set of initial concept clusters from the concept extraction module and allows a user to review the optimized corpus using a user interface until the user declares the review complete. A visualization module visualizes the results of the review, search and analysis of the raw data in the data corpus after the user declares the review complete.

Abstract: Apparatus and method for testing of a telecommunications network, which uses a passive monitoring system to generate actual customer usage data concerning the telecommunications network. An active test manager uses the actual customer usage data to instantiate a set of test templates from a store of predetermined test templates, the test template describing a sequence of user actions performed in the network. The test templates include at least one test variable, which is updated by the active test manager, using the actual customer usage data, to generate a test, or set of tests. The generated test, or set of tests are then used by an active testing module to actively test the telecommunications network, hence the tests are updated using the latest data on customer usage.

Abstract: Monitoring apparatus has a pattern matching engine that analyses service usage in a network in order to identify traffic relating to malicious attacks. Optionally, the monitoring apparatus can also arrange for a counter-measure to be deployed upon detection of the malicious traffic.