Abstract: Information determination and decisioning systems that allow for the classification, identification, and decisioning of personally identifiable information (hereinafter “PII”) that is located within documents. Text within a document may be identified as PII text and/or non-PII text, and PII indicators may be associated with the font of the text in order to define and be able to track the PII text within the document. The PII indicators may provide different information about the PII text, such as indicating that the text includes PII, the PII type associated with the text, the locations in which the text constitutes PII. The PII indicators may be stored within the font information of the font, such as through data stored by the font and/or the data used to create the font (e.g., vector images that define the font curves, the dot matrices that define the font, the stroke paths that define the font, etc.).

Abstract: Information determination and decisioning systems that allow for the classification, identification, and decisioning of personally identifiable information (hereinafter “PII”) that is located within documents. Text within a document may be identified as PII text and/or non-PII text, and PII indicators may be associated with the font of the text in order to define and track the PII text within the document. The PII indicators may be stored within the font information of the font, such as through data stored by the font and/or the data used to create the font. One or more rules engines may be utilized in order to determine the text in a document and determine the rights that the users have with respect to an action for the document, to decision if the action should be allowed, the PII text that may be displayed within the document, and the PII text that may be redacted.

Abstract: Information determination and decisioning systems that allow for the classification, identification, and decisioning of personally identifiable information (hereinafter “PII”) that is located within documents. Text within a document may be identified as PII text and/or non-PII text, and PII indicators may be associated with the font of the text in order to define and be able to track the PII text within the document. The PII indicators may provide different information about the PII text, such as indicating that the text includes PII, the PII type associated with the text, the locations in which the text constitutes PII. The PII indicators may be stored within the font information of the font, such as through data stored by the font and/or the data used to create the font (e.g., vector images that define the font curves, the dot matrices that define the font, the stroke paths that define the font, etc.).

Abstract: A system and method is directed to providing an n-dimensional entity for encoding and storing data securely. A user provides a cursor position within the n-dimensional entity, and a user seed to a pseudo-random number generator. The user seed may be combined with a fingerprint of a computing system in which the invention operates. The n-dimensional entity is populated with bits from the pseudo-random number generator. Bits within the n-dimensional entity are associated with actions to be performed at each cursor position. Subsequent cursor directions within the n-dimensional entity are determined using a random number generator. Plaintext is bitwise translated to a direction and an offset from the cursor position to a bit matching the plaintext bit within the n-dimensional entity. The offset is employed to modify a row of truly random bits in an encoded array.

Abstract: A system and method is directed to providing an n-dimensional entity for encoding and storing data securely. A user provides a cursor position within the n-dimensional entity, and a user seed to a pseudo-random number generator. The user seed may be combined with a fingerprint of a computing system in which the invention operates. The n-dimensional entity is populated with bits from the pseudo-random number generator. Bits within the n-dimensional entity are associated with actions to be performed at each cursor position. Subsequent cursor directions within the n-dimensional entity are determined using a random number generator. Plaintext is bitwise translated to a direction and an offset from the cursor position to a bit matching the plaintext bit within the n-dimensional entity. The offset is employed to modify a row of truly random bits in an encoded array.

Abstract: A system and method is directed to providing an n-dimensional entity for encoding and storing data securely. A user provides a cursor position within the n-dimensional entity, and a user seed to a pseudo-random number generator. The user seed may be combined with a fingerprint of a computing system in which the invention operates. The n-dimensional entity is populated with bits from the pseudo-random number generator. Bits within the n-dimensional entity are associated with actions to be performed at each cursor position. Subsequent cursor directions within the n-dimensional entity are determined using a random number generator. Plaintext is bitwise translated to a direction and an offset from the cursor position to a bit matching the plaintext bit within the n-dimensional entity. The offset is employed to modify a row of truly random bits in an encoded array.