Abstract: A method includes receiving a first analytics set performed on a first network security appliance operated internal to a first organization, receiving a second analytics set performed on a second network security appliance operated internal to a second organization, processing the first analytics set and the second analytics set, and responsive to the processing, disseminating to the second network security appliance information indicating that the second analytics set has also been performed on at least the first network security appliance, without revealing an identity of the first organization. In one embodiment at least part of the first analytics set or the second analytics set is hashed.

Abstract: A method includes receiving a first analytics set performed on a first network security appliance operated internal to a first organization, receiving a second analytics set performed on a second network security appliance operated internal to a second organization, processing the first analytics set and the second analytics set, and responsive to the processing, disseminating to the second network security appliance information indicating that the second analytics set has also been performed on at least the first network security appliance, without revealing an identity of the first organization. In one embodiment at least part of the first analytics set or the second analytics set is hashed.

Abstract: Systems and methods for sensitive data remediation include calculating a Probability of Loss of data on a given computer based on measures of control, integrity, and potential avenues of exploitation of the given computer, determining an Impact of Loss of the data on the given computer based on a type, volume, and nature of the data, and correlating the Probability of Loss with the Impact of Loss to generate a risk score for the given computer that can be compared to other computers in the network. The computers with higher risk scores can then be subjected to data remediation activity.

Abstract: Systems and methods for sensitive data remediation include calculating a Probability of Loss of data on a given computer based on measures of control, integrity, and potential avenues of exploitation of the given computer, determining an Impact of Loss of the data on the given computer based on a type, volume, and nature of the data, and correlating the Probability of Loss with the Impact of Loss to generate a risk score for the given computer that can be compared to other computers in the network. The computers with higher risk scores can then be subjected to data remediation activity.