Abstract: A method for auto discovery of sensitive data may include: (1) receiving, at data enrichment computer program in a metadata processing pipeline, raw metadata from a plurality of different data sources; (2) enriching, by the data enrichment computer program, the raw metadata; (3) converting, by the data enrichment computer program, the raw metadata and the enhanced raw metadata into a sentence structure; (4) predicting, by a category prediction computer program in the metadata processing pipeline, a predicted category for the sentence structure; (5) identifying, by a sensitive data mapping computer program, a sensitive data category that is mapped to the predicted category based on a policy mapping rule; (6) determining, by the sensitive data mapping computer program, a risk classification rating for the predicted category; and (7) tagging, by the sensitive data mapping computer program, the data source associated with the metadata based on the risk classification rating.

Abstract: A method for auto discovery of sensitive data may include: (1) receiving, at data enrichment computer program in a metadata processing pipeline, raw metadata from a plurality of different data sources; (2) enriching, by the data enrichment computer program, the raw metadata; (3) converting, by the data enrichment computer program, the raw metadata and the enhanced raw metadata into a sentence structure; (4) predicting, by a category prediction computer program in the metadata processing pipeline, a predicted category for the sentence structure; (5) identifying, by a sensitive data mapping computer program, a sensitive data category that is mapped to the predicted category based on a policy mapping rule; (6) determining, by the sensitive data mapping computer program, a risk classification rating for the predicted category; and (7) tagging, by the sensitive data mapping computer program, the data source associated with the metadata based on the risk classification rating.

Abstract: A method for generalized structured data discovery may include (1) receiving physical application metadata from data sources for an attribute, a database object, or a database; (2) receiving reference data comprising a plurality of tokens and their associated abbreviations/acronyms; (3) parsing the physical application metadata into a application tokens comprising known and unknown application tokens; (4) identifying unknown application tokens by comparing the parsed application tokens to a corpus; (5) performing probabilistic parsing on the unknown application tokens using the reference data; (6) performing bi-directional encoding to expand the polysemous tokens to relevant expressions using the reference data; (7) applying language tokens to the relevant expressions in the expanded polysemous tokens to disambiguate the relevant expressions; and (8) outputting a mapping of the physical application metadata to enhanced physical application metadata, wherein the enhanced physical application metadata comprises

Abstract: A method for generalized structured data discovery may include (1) receiving physical application metadata from data sources for an attribute, a database object, or a database; (2) receiving reference data comprising a plurality of tokens and their associated abbreviations/acronyms; (3) parsing the physical application metadata into a application tokens comprising known and unknown application tokens; (4) identifying unknown application tokens by comparing the parsed application tokens to a corpus; (5) performing probabilistic parsing on the unknown application tokens using the reference data; (6) performing bi-directional encoding to expand the polysemous tokens to relevant expressions using the reference data; (7) applying language tokens to the relevant expressions in the expanded polysemous tokens to disambiguate the relevant expressions; and (8) outputting a mapping of the physical application metadata to enhanced physical application metadata, wherein the enhanced physical application metadata comprises

Abstract: A method for generalized structured data discovery may include (1) receiving physical application metadata from data sources for an attribute, a database object, or a database; (2) receiving reference data comprising a plurality of tokens and their associated abbreviations/acronyms; (3) parsing the physical application metadata into a application tokens comprising known and unknown application tokens; (4) identifying unknown application tokens by comparing the parsed application tokens to a corpus; (5) performing probabilistic parsing on the unknown application tokens using the reference data; (6) performing bi-directional encoding to expand the polysemous tokens to relevant expressions using the reference data; (7) applying language tokens to the relevant expressions in the expanded polysemous tokens to disambiguate the relevant expressions; and (8) outputting a mapping of the physical application metadata to enhanced physical application metadata, wherein the enhanced physical application metadata comprises

Abstract: A method for auto discovery of sensitive data may include: (1) receiving, at data enrichment computer program in a metadata processing pipeline, raw metadata from a plurality of different data sources; (2) enriching, by the data enrichment computer program, the raw metadata; (3) converting, by the data enrichment computer program, the raw metadata and the enhanced raw metadata into a sentence structure; (4) predicting, by a category prediction computer program in the metadata processing pipeline, a predicted category for the sentence structure; (5) identifying, by a sensitive data mapping computer program, a sensitive data category that is mapped to the predicted category based on a policy mapping rule; (6) determining, by the sensitive data mapping computer program, a risk classification rating for the predicted category; and (7) tagging, by the sensitive data mapping computer program, the data source associated with the metadata based on the risk classification rating.

Abstract: A sensor adapted to be mounted to a surface has a rotatable enclosure that may be used, for example, to direct a lens of the sensor towards a window. The daylight sensor includes a photosensitive circuit for measuring a light intensity in the space, a cover portion, and a base portion adapted to be mounted to the surface. The cover portion is rotatable with respect to the base portion, for example, to direct the lens towards the window after the base portion is mounted to the surface. The base portion may also include a cylindrical wall having a channel adapted to capture a snap of the cover portion, such that the snap may move angularly through the channel to allow for rotation of the cover portion with respect to the base portion to a plurality of discrete positions.

Abstract: A daylight sensor is adapted to be mounted to a surface in a space having a window, and has a rotatable enclosure for directing a lens of the daylight sensor towards the window. The daylight sensor includes a photosensitive circuit for measuring a light intensity in the space, and an enclosure for housing the photosensitive circuit. The lens directs light from the space towards the photosensitive circuit. The enclosure has a cover portion and a base portion adapted to be mounted to the surface. The cover portion is rotatable with respect to the base portion, so as to direct the lens towards the window after the base portion is mounted to the surface. The base portion may also include a cylindrical wall having a channel adapted to capture a snap of the cover portion, such that the snap may move angularly through the channel to allow for rotation of the cover portion with respect to the base portion.

Abstract: A daylight sensor is adapted to be mounted to a surface in a space having a window, and has a rotatable enclosure for directing a lens of the daylight sensor towards the window. The daylight sensor includes a photosensitive circuit for measuring a light intensity in the space, and an enclosure for housing the photosensitive circuit. The lens directs light from the space towards the photosensitive circuit. The enclosure has a cover portion and a base portion adapted to be mounted to the surface. The cover portion is rotatable with respect to the base portion, so as to direct the lens towards the window after the base portion is mounted to the surface. The base portion may also include a cylindrical wall having a channel adapted to capture a snap of the cover portion, such that the snap may move angularly through the channel to allow for rotation of the cover portion with respect to the base portion.

Abstract: A daylight sensor is adapted to be mounted to a surface in a space having a window, and has a rotatable enclosure for directing a lens of the daylight sensor towards the window. The daylight sensor includes a photosensitive circuit for measuring a light intensity in the space, and an enclosure for housing the photosensitive circuit. The lens directs light from the space towards the photosensitive circuit. The enclosure has a cover portion and a base portion adapted to be mounted to the surface. The cover portion is rotatable with respect to the base portion, so as to direct the lens towards the window after the base portion is mounted to the surface. The base portion may also include a cylindrical wall having a channel adapted to capture a snap of the cover portion, such that the snap may move angularly through the channel to allow for rotation of the cover portion with respect to the base portion.