Abstract: A dynamic queue management system includes a computing platform having a hardware processor and a memory storing a software code. The hardware processor executes the software code to receive queue enrollment data identifying a first guest and a first attraction, determine whether the first guest is enrolled in a second queue for a second attraction, and assign the first guest to one of multiple groups seeking admission to the first attraction based on whether the first guest is enrolled in the second queue. The software code further obtains a current occupancy state of the first attraction, determines an attendance period corresponding to an average duration of attendance at the first attraction by previous guests, and identifies one of the groups for admission to the first attraction based on the number of guests in the group, the current occupancy state of the first attraction, and the attendance period of the attraction.

Abstract: Systems and techniques are provided for creating sensor based rules for detecting and responding to malicious activity. Evidence corresponding to a malicious activity is received. The evidence corresponding to malicious activity is analyzed. Indicators are identified from the evidence. The indicators are extracted from the evidence. It is determined that an action to mitigate or detect a threat needs to be taken based on the indicators and evidence. A sensor to employ the prescribed action is identified. Whether a sensor based rule meets a threshold requirement is validated. A configuration file used to task the sensor based rule to the identified sensor is created. The number of sensor based rule triggers is tracked.

Abstract: Systems and techniques are provided for creating sensor based rules for detecting and responding to malicious activity. Evidence corresponding to a malicious activity is received. The evidence corresponding to malicious activity is analyzed. Indicators are identified from the evidence. The indicators are extracted from the evidence. It is determined that an action to mitigate or detect a threat needs to be taken based on the indicators and evidence. A sensor to employ the prescribed action is identified. Whether a sensor based rule meets a threshold requirement is validated. A configuration file used to task the sensor based rule to the identified sensor is created. The number of sensor based rule triggers is tracked.

Abstract: Systems and techniques are provided for creating sensor based rules for detecting and responding to malicious activity. Evidence corresponding to a malicious activity is received. The evidence corresponding to malicious activity is analyzed. Indicators are identified from the evidence. The indicators are extracted from the evidence. It is determined that an action to mitigate or detect a threat needs to be taken based on the indicators and evidence. A sensor to employ the prescribed action is identified. Whether a sensor based rule meets a threshold requirement is validated. A configuration file used to task the sensor based rule to the identified sensor is created. The number of sensor based rule triggers is tracked.

Abstract: Systems and techniques are provided for creating sensor based rules for detecting and responding to malicious activity. Evidence corresponding to a malicious activity is received. The evidence corresponding to malicious activity is analyzed. Indicators are identified from the evidence. The indicators are extracted from the evidence. It is determined that an action to mitigate or detect a threat needs to be taken based on the indicators and evidence. A sensor to employ the prescribed action is identified. Whether a sensor based rule meets a threshold requirement is validated. A configuration file used to task the sensor based rule to the identified sensor is created. The number of sensor based rule triggers is tracked.