Abstract: The present disclosure generally provides systems and methods of providing identification and access management. The system could include a network security zone having access rules for a network resource object associated with the network. The system could also include a module to collect information related to an attempt to access the network resource object and to generate an alert if the collected information fails to meet certain requirements related to the access rules. The module could change the access rules to prevent possible future unauthorized access attempts based on the collected information.

Abstract: Systems and methods for analyzing historical network traffic and determining which traffic does not belong in a network are disclosed. Intrusion detection is performed over a period of time, looking for behavioral patterns within networks or information systems and generating alerts when these patterns change. The intrusion detection system intelligently forms correlations between disparate sources to find traffic anomalies. Over time, behaviors are predictive, and the intrusion detection system attempts to predict outcomes, becoming proactive instead of just reactive. Intrusions occur throughout whole information systems, including both network infrastructure and application servers. By treating the information system as a whole and performing intrusion detection across it, the chances of detection are increased significantly.

Abstract: Systems and methods of detecting emergent behaviors in communications networks are disclosed. In some embodiments, a method may include decomposing a plurality of data packets into a plurality of component data types associated with a candidate alert representing a potential security threat in a network. The method may also include retrieving, from a database, a count for each of a plurality of historical data types matching at least a subset of the component data types, each of the counts quantifying an amount of data of a corresponding historical data type previously detected in the network in a given time period. The method may further include calculating a score that indicates a discrepancy between an amount of data in each of the subset of the component data types and the counts for each corresponding historical data type in the same time period, and handling the candidate alert based upon the score.

Abstract: Systems and methods for analyzing historical network traffic and determining which traffic does not belong in a network are disclosed. Intrusion detection is performed over a period of time, looking for behavioral patterns within networks or information systems and generating alerts when these patterns change. The intrusion detection system intelligently forms correlations between disparate sources to find traffic anomalies. Over time, behaviors are predictive, and the intrusion detection system attempts to predict outcomes, becoming proactive instead of just reactive. Intrusions occur throughout whole information systems, including both network infrastructure and application servers. By treating the information system as a whole and performing intrusion detection across it, the chances of detection are increased significantly.

Abstract: Systems and methods for analyzing historical network traffic and determining which traffic does not belong in a network are disclosed. Intrusion detection is performed over a period of time, looking for behavioral patterns within networks or information systems and generating alerts when these patterns change. The intrusion detection system intelligently forms correlations between disparate sources to find traffic anomalies. Over time, behaviors are predictive, and the intrusion detection system attempts to predict outcomes, becoming proactive instead of just reactive. Intrusions occur throughout whole information systems, including both network infrastructure and application servers. By treating the information system as a whole and performing intrusion detection across it, the chances of detection are increased significantly.