Abstract: The present techniques provide a method for automatically and quickly providing information after a data breach or incident in relation to data has occurred. The present application provides a method for issuing data incident notifications when data items naming specific entities have been accessed by someone who should not have access to them. This enables the entities to obtain information on the data items they are named in and which have been accessed. An index may be used to quickly identify the data items which are subject to an incident and which name entities. After these data items are identified, a notification list can be generated that shows each data item naming an entity. A system administrator or security officer can then generate a data incident notification to notify an entity about the impacted data items in which they are named.

Abstract: The present disclosure relates to computer systems and computer-implemented methods for automatically enabling natural language rules in a structured rule engine. In one example, the method includes receiving an input identifying an unstructured query corresponding to a particular application associated with a rules framework associated with a pre-defined query structure format, analyzing the received input based on a first set of design time artifacts associated with the particular application and a second set of design time artifacts associated with the rules framework, the first set of artifacts uniquely associated with the particular application and the second set of artifacts generically associated with the rules framework, wherein the second set of design time artifacts are applied commonly to a plurality of different applications.

Abstract: A method and system are provided including a parser module; a display; a memory storing processor-executable process steps; and a parser processor coupled to the memory, and in communication with the parser module and operative to execute the processor-executable steps to cause the system to: provide a user interface to a user via the display, the user interface including one or more data-entry fields; receive an expression in the one or more data-entry fields; transform the expression into a tree structure, wherein the tree structure is usable by two or more different runtime engines; and output the tree structure. Numerous other aspects are provided.

Abstract: The present disclosure relates to computer systems and computer-implemented methods for automatically enabling natural language rules in a structured rule engine. In one example, the method includes receiving an input identifying an unstructured query corresponding to a particular application associated with a rules framework associated with a pre-defined query structure format, analyzing the received input based on a first set of design time artifacts associated with the particular application and a second set of design time artifacts associated with the rules framework, the first set of artifacts uniquely associated with the particular application and the second set of artifacts generically associated with the rules framework, wherein the second set of design time artifacts are applied commonly to a plurality of different applications.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for enabling dynamic tokens in an expression parser. An example method includes identifying an expression represented as a natural language input for validation by a parser. Each of the phrases in the expression are iteratively converted into a set of tokens by determining whether a current phrase matches a pre-defined token associated with a known grammar rule, and, in response to determining that the current phrase matches a pre-defined token, generating a token for the current phrase for use in validating the expression. If the current phrase does not match a pre-defined token, the unrecognized string of characters is compared to a plurality of dynamic tokens included in an external pool of tokens to generate a generic token of an identified type. The dynamic token is replaced with the generic token and can be used to validate the expression.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for enabling dynamic tokens in an expression parser. An example method includes identifying an expression represented as a natural language input for validation by a parser. Each of the phrases in the expression are iteratively converted into a set of tokens by determining whether a current phrase matches a pre-defined token associated with a known grammar rule, and, in response to determining that the current phrase matches a pre-defined token, generating a token for the current phrase for use in validating the expression. If the current phrase does not match a pre-defined token, the unrecognized string of characters is compared to a plurality of dynamic tokens included in an external pool of tokens to generate a generic token of an identified type. The dynamic token is replaced with the generic token and can be used to validate the expression.