1. A method for identifying potentially compromised identification records during identity validation procedures comprising: a. Providing at least one data provider with encoding and transmission software for use on a computer accessible to the at least one data provider which enables the at least one data provider to: i. transform data comprising a plurality of identification fields in at least one data record into a plurality of transformed fields having standard format structure for each field; ii. cryptographically hash each field of said plurality of transformed fields utilizing accepted cryptographic hashing protocols; iii. tag each of the plurality of data records that have been transformed and hashed with unique field, institution, and discretionary data points to create tagged records without use of sensitive or company identifiable information; iv. encrypt and transfer the tagged records from the at least one data provider to a Breached Record Data Base; b. Providing a Breached Record Data Base on a distributed computing network, wherein: i. tagged data records are merged into a primary data system; ii. collisions of data records are identified and records updated; iii. indexes are updated for search algorithms; iv. heuristics are updated; c. Providing at least one subscriber with software for use on a computer accessible to the subscriber enabling the at least one subscriber to: i. obtain personal information data from an individual; ii. transform personal information data to required format at subscriber site; iii. cryptographically hash the transformed personal information data utilizing complimentary cryptographic protocol to create at least one transformed and hashed subscriber data record; iv. tag each transformed and hashed subscriber data records with unique field, institution, and discretionary data points without use of sensitive or company identifiable information; v. encrypt and transfer the tagged subscriber data records from the subscriber to a data comparison computational system associated with said Breached Record Database as a query; d. Wherein said data comparison computational system: i. compares all fields of said tagged subscriber data records with data records in said Breached Record Database through lattice-like recursive searches; ii. compares and condenses findings to evaluate any correlation to breaches; iii. generates risk score findings; and iv. sends risk score findings to subscriber.