Abstract: The method and system provides consumers with the ability to define and control their identity and accounts to minimize vulnerability to identity theft and credit fraud. This is accomplished using a centralized system where consumers can define their identity and account profile and define rules that control access to their identity and accounts. This process works independently of existing credit bureaus and credit authorization processes, creating a dual authentication and authorization system. The primary feature of the invention is a centralized database that is controlled by consumers. The database contains information and rules defined by the consumer that will proactively protect their identity and accounts. The idea is to minimize the allowable access to consumer's identity and accounts. This creates an additional layer of protection that eliminates fraud.

Abstract: The method and system provides consumers with the ability to define and control their identity and accounts to minimize vulnerability to identity theft and credit fraud. This is accomplished using a centralized system where consumers can define their identity and account profile and define rules that control access to their identity and accounts. This process works independently of existing credit bureaus and credit authorization processes, creating a dual authentication and authorization system. The primary feature of the invention is a centralized database that is controlled by consumers. The database contains information and rules defined by the consumer that will proactively protect their identity and accounts. The idea is to minimize the allowable access to consumer's identity and accounts. This creates an additional layer of protection that eliminates fraud.

Abstract: An automated system and method for ensuring that information in the form of data files provided by highly regulated businesses, such as financial institutions, comply with the most currently applicable Federal, state and local laws and regulations. This may be accomplished by applying a set of computer-encoded compliance rules to the transaction data files from these businesses in a two-pass regulatory compliance review methodology. In a first pass, a limited set of input data elements from one or more input transaction data files is used that results in an extremum or worst-case condition for compliance assessment by using one or more compliance rule sets. The transaction data files that are found to be not in compliance when using this limited set of data elements may or may not be in compliance when using a more complete and detailed set of data elements in a second pass.