9. A non-transitory computer-readable medium storing instructions that when executed cause at least one processor to determine causal relationships among system entities, the instructions comprising instructions to: receive events from a computing environment having a plurality of entities; generate a graph including, create vertices based on an initial set of events including a first vertex, a second vertex, and a third vertex, and arrange the first vertex, the second vertex, and the third vertex in chronological order; create arcs between temporally adjacent vertices including a first arc connected between the first vertex and the second vertex and a second arc connected between the second vertex and the third vertex; and annotate each arc with a coefficient value representing a level of connectivity between the temporally adjacent vertices; detect causal relationships among the plurality of entities, during runtime of the computing environment, based on the graph; and convert one or more of the causal relationships into at least one behavioral rule, the at least one behavioral rule indicating a causal relationship between at least two entities of the plurality of entities.
9. A non-transitory computer-readable medium storing instructions that when executed cause at least one processor to determine causal relationships among system entities, the instructions comprising instructions to: receive events from a computing environment having a plurality of entities; generate a graph including, create vertices based on an initial set of events including a first vertex, a second vertex, and a third vertex, and arrange the first vertex, the second vertex, and the third vertex in chronological order; create arcs between temporally adjacent vertices including a first arc connected between the first vertex and the second vertex and a second arc connected between the second vertex and the third vertex; and annotate each arc with a coefficient value representing a level of connectivity between the temporally adjacent vertices; detect causal relationships among the plurality of entities, during runtime of the computing environment, based on the graph; and convert one or more of the causal relationships into at least one behavioral rule, the at least one behavioral rule indicating a causal relationship between at least two entities of the plurality of entities. 10. The non-transitory computer-readable medium of claim 9 , wherein each vertex represents an event instance of one or more events, and each arc represents a level of causal connectivity between at least two vertices.