The present design is directed to a system for defuzzification of multiple qualitative signals into human-centric threat notifications using cognitive computing techniques, including a series of periodic execution components configured to operate over full or partial sets of received data, and a plurality of event reception components configured to operate on each event in a stream relevant to a terrain and selectively provide information to the series of periodic execution components. The system detects and signals anomalies upon detecting behavior inconsistent with normal behavior.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system for defuzzification of multiple qualitative signals into human-centric threat notifications using cognitive computing techniques, comprising: a series of periodic execution components configured to operate over full or partial sets of received data; and a plurality of event reception components configured to operate on each event in a stream relevant to a terrain and selectively provide information to the series of periodic execution components; wherein the system detects and signals anomalies upon detecting behavior inconsistent with normal behavior. 2. The system of claim 1, wherein an anomaly has properties including severity and degree of inconsistency from normal behavior represented by mathematical distance, wherein severity is a class of anomaly assigned by an analytical component that detected and measured the anomaly. 3. The system of claim 1, wherein the system detects and signals hazards, wherein a hazard is an unperfected threat associated with an actor without regard to any related assets or the behavior of other actors. 4. The system of claim 3, wherein a hazard represents risk to an enterprise based on cumulative multi-dimensional behaviors comprising anomalous states generated from thresholds, orders of operation, peer-to-peer similarity, and actor behavior change over time. 5. The system of claim 4, wherein a hazard has two properties comprising severity of medium, elevated or high, derived from inherent terrain risks. 6. The system of claim 3, wherein the system detects and signals threats, wherein a threat is a perfected threat that ties together actors with behaviors of other actors and assets used by all actors in a hazard collection. 7. The system of claim 5, wherein: threats develop a sequence of operations over a dynamic time-frame; and threats are connected in a heterogeneous graph comprising nodes and edges, wherein nodes can be actors or assets and edges define the dynamic time-frame as well as the strength of their connection as a function of risk. 8. A system, comprising: a series of periodic execution components configured to operate over full or partial sets of received data; a plurality of event reception components configured to operate on each event in a stream relevant to a terrain and selectively provide information to the series of periodic execution components; and a signal manager configured to manage signals for one of the series of periodic execution components and the plurality of event reception components; wherein the system performs defuzzification of multiple qualitative signals into human-centric threat notifications using cognitive computing techniques by detecting and signaling anomalies upon detecting behavior inconsistent with normal behavior. 9. The system of claim 8, wherein an anomaly has properties including severity and degree of inconsistency from normal behavior represented by mathematical distance, wherein severity is a class of anomaly assigned by an analytical component that detected and measured the anomaly. 10. The system of claim 8, wherein the system detects and signals hazards, wherein a hazard is an unperfected threat associated with an actor without regard to any related assets or the behavior of other actors. 11. The system of claim 10, wherein a hazard represents risk to an enterprise based on cumulative multi-dimensional behaviors comprising anomalous states generated from thresholds, orders of operation, peer-to-peer similarity, and actor behavior change over time. 12. The system of claim 11, wherein a hazard has two properties comprising severity of medium, elevated or high, derived from inherent terrain risks. 13. The system of claim 10, wherein the system detects and signals threats, wherein a threat is a perfected threat that ties together actors with behaviors of other actors and assets used by all actors in a hazard collection. 14. The system of claim 12, wherein: threats develop a sequence of operations over a dynamic time-frame; and threats are connected in a heterogeneous graph comprising nodes and edges, wherein nodes can be actors or assets and edges define the dynamic time-frame as well as the strength of their connection as a function of risk. 15. A system, comprising: a series of periodic execution components configured to operate over full or partial sets of received data; a plurality of event reception components configured to operate on each event in a stream relevant to a terrain and selectively provide information to the series of periodic execution components; and a threat detector configured to detect threats based on information provided by the series of periodic execution components and the plurality of event reception components; wherein the system performs defuzzification of multiple qualitative signals into human-centric threat notifications using cognitive computing techniques by detecting and signaling anomalies upon detecting behavior inconsistent with normal behavior. 16. The system of claim 15, wherein an anomaly has properties including severity and degree of inconsistency from normal behavior represented by mathematical distance, wherein severity is a class of anomaly assigned by an analytical component that detected and measured the anomaly. 17. The system of claim 15, wherein the system detects and signals hazards, wherein a hazard is an unperfected threat associated with an actor without regard to any related assets or the behavior of other actors. 18. The system of claim 17, wherein a hazard represents risk to an enterprise based on cumulative multi-dimensional behaviors comprising anomalous states generated from thresholds, orders of operation, peer-to-peer similarity, and actor behavior change over time. 19. The system of claim 18, wherein a hazard has two properties comprising severity of medium, elevated or high, derived from inherent terrain risks. 20. The system of claim 17, wherein the threat detector operates with the series of periodic execution components and the plurality of event reception components to detect and signal threats, wherein a threat is a perfected threat that ties together actors with behaviors of other actors and assets used by all actors in a hazard collection.