Abstract: Techniques are disclosed for dynamically changing a data protection plan based on a risk score. The risk score is continuously or periodically recalculated based on situational factors that are detected from external modules. The situational factors can include natural phenomena such as weather, fire, and seismic activity. The situational factors can include manmade phenomena such as financial conditions, political stability in the region where the data resides, war, terrorist attacks, and the like. The situational factors are retrieved from one or more external modules. The external modules may be IoT (Internet of Things) modules. The external modules are monitored, and as new data from the external modules becomes available, a risk score for stored data is computed. The risk score is then used to select an appropriate data protection plan.

Abstract: Techniques are disclosed for dynamically changing a data protection plan based on a risk score. The risk score is continuously or periodically recalculated based on situational factors that are detected from external modules. The situational factors can include natural phenomena such as weather, fire, and seismic activity. The situational factors can include manmade phenomena such as financial conditions, political stability in the region where the data resides, war, terrorist attacks, and the like. The situational factors are retrieved from one or more external modules. The external modules may be IoT (Internet of Things) modules. The external modules are monitored, and as new data from the external modules becomes available, a risk score for stored data is computed. The risk score is then used to select an appropriate data protection plan.

Abstract: Techniques are disclosed for dynamically changing a data protection plan based on a risk score. The risk score is continuously or periodically recalculated based on situational factors that are detected from external modules. The situational factors can include natural phenomena such as weather, fire, and seismic activity. The situational factors can include manmade phenomena such as financial conditions, political stability in the region where the data resides, war, terrorist attacks, and the like. The situational factors are retrieved from one or more external modules. The external modules may be IoT (Internet of Things) modules. The external modules are monitored, and as new data from the external modules becomes available, a risk score for stored data is computed. The risk score is then used to select an appropriate data protection plan.

Abstract: Techniques are disclosed for dynamically changing a data protection plan based on a risk score. The risk score is continuously or periodically recalculated based on situational factors that are detected from external modules. The situational factors can include natural phenomena such as weather, fire, and seismic activity. The situational factors can include manmade phenomena such as financial conditions, political stability in the region where the data resides, war, terrorist attacks, and the like. The situational factors are retrieved from one or more external modules. The external modules may be IoT (Internet of Things) modules. The external modules are monitored, and as new data from the external modules becomes available, a risk score for stored data is computed. The risk score is then used to select an appropriate data protection plan.