15. The computer program product of claim 9 , further comprising program code that is readable and executable by said one or more hardware processors to: graphically represent said at least one context object and said at least one security object on a wall of said particular security-enabled context-based data gravity well.
9. A computer program product for defining multiple security-enabled context-based data gravity wells on a security-enabled context-based data gravity wells membrane, the computer program product comprising a non-transitory computer readable storage medium having program code embodied therewith, the program code readable and executable by one or more hardware processors to perform a method comprising: receiving a data stream of non-contextual data objects, wherein each of the non-contextual data objects ambiguously relates to multiple subject-matters; associating one of the non-contextual data objects with a context object to define a synthetic context-based object, wherein the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of said one of the non-contextual data objects; associating the synthetic context-based object with a security object to generate a security-enabled synthetic context-based object, wherein the security object describes a circumstance that describes an environment in which an event is occurring; parsing the security-enabled synthetic context-based object into an n-tuple, wherein the n-tuple comprises a pointer to said one of the non-contextual data objects, a probability that a non-contextual data object has been associated with a correct context object, a weighting factor of importance of the security-enabled synthetic context-based object, and a probability that the security object has been associated with a correct synthetic context-based object; calculating a virtual mass of the parsed security-enabled synthetic context-based object, wherein the virtual mass of the parsed security-enabled synthetic context-based object is derived from a formula of: 
 (P(C)+P(S))×Wt(S), where P(C) is the probability that the non-contextual data object has been associated with the correct context object, wherein P(S) is the probability that the security object has been associated with the correct synthetic context-based object, and where Wt(S) is the weighting factor of importance of the security-enabled synthetic context-based object; creating multiple security-enabled context-based data gravity well frameworks on a security-enabled context-based data gravity wells membrane, wherein each of the multiple security-enabled context-based data gravity well frameworks comprises at least one non-contextual data object, at least one context object, and at least one security object, and wherein the security-enabled context-based data gravity wells membrane is a virtual mathematical membrane that is capable of supporting multiple security-enabled context-based data gravity wells; transmitting multiple parsed security-enabled synthetic context-based objects to the security-enabled context-based data gravity wells membrane; defining multiple security-enabled context-based data gravity wells according to the virtual mass of multiple parsed security-enabled synthetic context-based objects that are pulled into each of the security-enabled context-based data gravity well frameworks, wherein each of the multiple parsed security-enabled synthetic context-based objects is pulled into a particular security-enabled context-based data gravity well in response to values from its n-tuple matching said at least one non-contextual data object, said at least one context object, and said at least one security object in said particular security-enabled context-based data gravity well; and in response to an unmatched parsed security-enabled synthetic context-based object failing to be pulled into any of the security-enabled context-based data gravity wells, trapping said unmatched parsed security-enabled synthetic context-based object in an unmatched parsed security-enabled synthetic context-based object trap.