Abstract: A cyber security threat detection system for one or more endpoints within a computing environment is disclosed. The system includes one or more collector engines. Each of the collector engines includes a service and an agent operating on a corresponding system endpoint of the system endpoints. The service is configured to take a first snapshot of the corresponding system endpoint. The first snapshot includes event activity information associated with the system endpoint. The agent is configured to take a second snapshot of the corresponding system endpoint. The second snapshot includes behavioral activity information associated with the corresponding system endpoint. The system further includes an aggregator engine configured to aggregate the first snapshot and the second snapshot from each of the system endpoints into an aggregated snapshot.

Abstract: A cyber security threat detection system for one or more endpoints within a computing environment is disclosed. The system comprises a plurality of collector engines. Each of the collector engines is previously installed on an endpoint of a plurality of endpoints and configured to acquire statistical information at the endpoint. The statistical information includes behavioral information, resource information, and metric information associated with the endpoint. The system further comprises an aggregator engine configured to aggregate the statistical information from each of the endpoints into aggregated information. The system further comprises an analytics engine configured to receive the aggregated information, and to invoke learning models to output deviation information for each of the endpoints based on the aggregated information and expected fingerprints associated with the endpoints.

Abstract: A cyber security threat detection system for one or more endpoints within a computing environment is disclosed. The system includes one or more collector engines. Each of the collector engines includes a service and an agent operating on a corresponding system endpoint of the system endpoints. The service is configured to take a first snapshot of the corresponding system endpoint. The first snapshot includes event activity information associated with the system endpoint. The agent is configured to take a second snapshot of the corresponding system endpoint. The second snapshot includes behavioral activity information associated with the corresponding system endpoint. The system further includes an aggregator engine configured to aggregate the first snapshot and the second snapshot from each of the system endpoints into an aggregated snapshot.

Abstract: A cyber security threat detection system for one or more endpoints within a computing environment is disclosed. The system comprises a plurality of collector engines. Each of the collector engines is previously installed on an endpoint of a plurality of endpoints and configured to acquire statistical information at the endpoint. The statistical information includes behavioral information, resource information, and metric information associated with the endpoint. The system further comprises an aggregator engine configured to aggregate the statistical information from each of the endpoints into aggregated information. The system further comprises an analytics engine configured to receive the aggregated information, and to invoke learning models to output deviation information for each of the endpoints based on the aggregated information and expected fingerprints associated with the endpoints.

Abstract: A cyber security threat detection system for one or more endpoints within a computing environment is disclosed. The system includes one or more collector engines. Each of the collector engines includes a service and an agent operating on a corresponding system endpoint of the system endpoints. The service is configured to take a first snapshot of the corresponding system endpoint. The first snapshot includes event activity information associated with the system endpoint. The agent is configured to take a second snapshot of the corresponding system endpoint. The second snapshot includes behavioral activity information associated with the corresponding system endpoint. The system further includes an aggregator engine configured to aggregate the first snapshot and the second snapshot from each of the system endpoints into an aggregated snapshot.

Abstract: A cyber security threat detection system for one or more endpoints within a computing environment is disclosed. The system comprises a plurality of collector engines. Each of the collector engines is previously installed on an endpoint of a plurality of endpoints and configured to acquire statistical information at the endpoint. The statistical information includes behavioral information, resource information, and metric information associated with the endpoint. The system further comprises an aggregator engine configured to aggregate the statistical information from each of the endpoints into aggregated information. The system further comprises an analytics engine configured to receive the aggregated information, and to invoke learning models to output deviation information for each of the endpoints based on the aggregated information and expected fingerprints associated with the endpoints.

Abstract: A cyber security threat detection system for one or more endpoints within a computing environment is disclosed. The system includes one or more collector engines. Each of the collector engines includes a service and an agent operating on a corresponding system endpoint of the system endpoints. The service is configured to take a first snapshot of the corresponding system endpoint. The first snapshot includes event activity information associated with the system endpoint. The agent is configured to take a second snapshot of the corresponding system endpoint. The second snapshot includes behavioral activity information associated with the corresponding system endpoint. The system further includes an aggregator engine configured to aggregate the first snapshot and the second snapshot from each of the system endpoints into an aggregated snapshot.

Abstract: A cyber security threat detection system for one or more endpoints within a computing environment is disclosed. The system comprises a plurality of collector engines. Each of the collector engines is previously installed on an endpoint of a plurality of endpoints and configured to acquire statistical information at the endpoint. The statistical information includes behavioral information, resource information, and metric information associated with the endpoint. The system further comprises an aggregator engine configured to aggregate the statistical information from each of the endpoints into aggregated information. The system further comprises an analytics engine configured to receive the aggregated information, and to invoke learning models to output deviation information for each of the endpoints based on the aggregated information and expected fingerprints associated with the endpoints.

Abstract: A cyber security threat detection system for one or more endpoints within a computing environment is disclosed. The system comprises a plurality of collector engines. Each of the collector engines is previously installed on an endpoint of a plurality of endpoints and configured to acquire statistical information at the endpoint. The statistical information includes behavioral information, resource information, and metric information associated with the endpoint. The system further comprises an aggregator engine configured to aggregate the statistical information from each of the endpoints into aggregated information. The system further comprises an analytics engine configured to receive the aggregated information, and to invoke learning models to output deviation information for each of the endpoints based on the aggregated information and expected fingerprints associated with the endpoints.

Abstract: A cyber security threat detection system for one or more endpoints within a computing environment is disclosed. The system includes one or more collector engines. Each of the collector engines includes a service and an agent operating on a corresponding system endpoint of the system endpoints. The service is configured to take a first snapshot of the corresponding system endpoint. The first snapshot includes event activity information associated with the system endpoint. The agent is configured to take a second snapshot of the corresponding system endpoint. The second snapshot includes behavioral activity information associated with the corresponding system endpoint. The system further includes an aggregator engine configured to aggregate the first snapshot and the second snapshot from each of the system endpoints into an aggregated snapshot.

Abstract: A spring biasing locking mechanism is provided for a step and repeat motor. The motor includes a base having a channel, an output member in the channel, at least one translator drive element and first and second clamping elements. The spring biasing locking mechanism includes a locking structure joined to the base by a hinge. The locking structure spans both clamping elements. A spring biases the locking structure toward the channel so that the spring force is transmitted to the two clamping elements. The spring biased locking mechanism accommodates wear of the device, accommodates thermal expansion of the motor components, provides a limit on clamping force and provides a zero power hold condition.

Abstract: A metered dose inhaler is provided which includes a canister fitted in an actuator body. A metered dose of medication is delivered by compressing the canister in the actuator body. The metered dose inhaler includes an actuator that either fully (automatic) or partially (user-assisted) actuates the metered dose inhaler in order to deliver medication to the user.

Abstract: A metered dose inhaler is provided which includes a canister fitted in an actuator body. A metered dose of medication is delivered by compressing the canister in the actuator body. The metered dose inhaler includes an actuator that either fully (automatic) or partially (user-assisted) actuates the metered dose inhaler in order to deliver medication to the user.