Abstract: Embodiments herein disclose a method for managing at least one document by an electronic device. The method includes receiving at least one document in an electronic form, where the document includes a plurality of content. Further, the method includes determining at least one semantic category associated with the document and a metadata associated with the document. Further, the method includes embedding custom data within the at least one document, where the custom data comprises the at least one of the semantic category associated with the at least one document. Further, the method includes determining at least one among privacy persona and classification label of the document based on the semantic category associated with the document and the metadata associated with the document. Further, the method includes determining access to the document based on at least one among the privacy persona and the classification label of the document.

Abstract: Methods and systems for determining anomalous user access to data objects. The method includes determining baseline access data comprising a plurality of access elements. The method includes generating target access data for the user, where the target access data indicates a count of data objects accessed by the user within each of the plurality of semantic categories during a target time interval. The method includes computing an anomalous factor for the user based, at least in part, on the baseline access data and the target access data. The anomalous factor for the user indicates a degree of the anomalous behavior of the user during the target time interval. The method includes determining whether the user is an anomalous user based, at least in part, on the computed anomalous factor for the user.

Abstract: Embodiments herein disclose a method for determining at least one semantic category of at least one document using an electronic device 100. The method includes receiving at least one document embedding indicating a semantic representation of at least one document. Further, the method includes determining a probable set of semantic categories of a plurality of semantic categories associated with the document embedding based on an execution of the at least one document embedding on a plurality of proto-models. Further, the method includes receiving the semantic model associated with each of the probable set of semantic categories. Further, the method includes executing the at least one document embedding on the received semantic model. Further, the method includes determining the at least one semantic category out of the probable set of semantic categories, of the at least one document embedding based on the at least one executed document.

Abstract: Methods and systems for optimizing grouping for enhanced access control and risk mitigation. The method includes obtaining user data including data associated with a plurality of users and a plurality of groups, and access data including data associated with a plurality of data objects and corresponding access information. The method includes determining a first mapping information between each of the plurality of groups with corresponding users of the plurality of users based on the user data, and determining a second mapping information between each of the plurality of data objects with corresponding users of the plurality of users based on the access data. The method includes generating a cluster dataset representing a plurality of clusters based at least on processing of a relational structure between the first mapping information and the second mapping information. The plurality of clusters represent newly generated groups of the plurality of users.

Abstract: Embodiments herein disclose a method for managing at least one document by an electronic device 100. The method includes receiving, by the electronic device, at least one document in an electronic form, where the document includes a plurality of content. Further, the method includes determining at least one semantic category associated with the document and a metadata associated with the document. Further, the method includes determining at least one among privacy persona and classification label of the document based on the semantic category associated with the document and the metadata associated with the document. Further, the method includes determining access to the document based on at least one among the privacy persona and the classification label of the document.

Abstract: A method and an electronic device (100) are disclosed for generating semantic representation of a document to determine data security risk associated with the document. The method includes receiving, by a document semantics controller (160) of the electronic device (100), a document in an electronic form and determining, by the document semantics controller (160), raw text. Further, the method includes generating, by the document semantics controller (160), a plurality of sentence blocks using the raw text and determining, by the document semantics controller (160), embeddings for the plurality of sentence blocks. Further, the method includes determining, by the document semantics controller (160), the semantic representation of the document based on the embeddings for each of the sentence blocks; and generating, by the document semantics controller (160), the semantic representation of the document to determine the data security risk associated with the document.

Abstract: A method and an electronic device (100) are disclosed for generating semantic representation of a document to determine data security risk associated with the document. The method includes receiving, by a document semantics controller (160) of the electronic device (100), a document in an electronic form and determining, by the document semantics controller (160), raw text. Further, the method includes generating, by the document semantics controller (160), a plurality of sentence blocks using the raw text and determining, by the document semantics controller (160), embeddings for the plurality of sentence blocks. Further, the method includes determining, by the document semantics controller (160), the semantic representation of the document based on the embeddings for each of the sentence blocks; and generating, by the document semantics controller (160), the semantic representation of the document to determine the data security risk associated with the document.