Abstract: Compromised enterprise data is enriched using inferred content from social networks and other public databases. Compromised enterprise data is enriched by obtaining unstructured data from one or more fraudster drop zones; identifying email addresses in the unstructured data; storing each of the identified email addresses in a record with a corresponding name of a person associated with the identified email address; querying one or more databases to update the records with one or more of a corporate employer, location of employment and a corporate position of the person; and aggregating the records. The aggregation can be performed by, for example, a corporate employer field to identify one or more enterprises requiring enhanced security and/or a cybersecurity countermeasure product. The aggregation can also be performed by location of employment or by corporate position to identify individuals that are susceptible to a cybersecurity threat.

Abstract: Disclosed are techniques for use in authentication. In one embodiment, the techniques comprise a method. The method comprises the step of receiving a request comprising a plurality of attributes. The method also comprises determining whether to grant authentication or to perform an assessment of at least some of the attributes. The said determination is dependent on whether one of the attributes corresponds with a predictor.