Abstract: The disclosed privacy management platforms are adapted to scan any number of data sources in order to provide users with visibility into stored personal information, risk associated with storing such information and/or usage activity relating to such information. The platforms may correlate personal information findings to specific data subjects and may employ machine learning models to classify findings as corresponding to a particular personal information attribute to provide an indexed inventory across multiple data sources.

Abstract: Exemplary privacy management platforms are described herein. Such platforms may be embodied in systems, computer-implemented methods, apparatuses and/or software applications. The described privacy management platform may be configured to scan identity, primary and/or secondary data sources in order to provide users with visibility into stored personal information, risk associated with storing such information and usage activity relating to such information. The platform may correlate personal information to specific data subjects to provide an indexed inventory across multiple data sources.

Abstract: Exemplary privacy management platforms are described herein. Such platforms may be embodied in systems, computer-implemented methods, apparatuses and/or software applications. The described privacy management platform may be configured to scan identity, primary and/or secondary data sources in order to provide users with visibility into stored personal information, risk associated with storing such information and usage activity relating to such information. The platform may correlate personal information to specific data subjects to provide an indexed inventory across multiple data sources.

Abstract: Systems, methods and apparatuses are disclosed to cluster a plurality of documents located in any number of local and/or remote systems and applications. Preprocessed text is generated for each document, and a hash and a feature vector are determined based on the preprocessed text. A set of clusters is retrieved, wherein each cluster is associated with a hash list and a cumulative feature vector. Each of the documents may then be associated with a cluster by comparing the hash of the document to the hash lists of the clusters and/or by determining similarities between the feature vector of the document and the cumulative feature vectors of the clusters.

Abstract: Exemplary privacy management platforms are described herein. Such platforms may be embodied in systems, computer-implemented methods, apparatuses and/or software applications. The described privacy management platform may be configured to scan identity, primary and/or secondary data sources in order to provide users with visibility into stored personal information, risk associated with storing such information and usage activity relating to such information. The platform may correlate personal information to specific data subjects to provide an indexed inventory across multiple data sources.

Abstract: Systems, methods and apparatuses are disclosed to efficiently and accurately scan a plurality of documents located in any number of unstructured data sources. Preprocessed metadata is generated for each document and metadata features are determined based on the preprocessed metadata. A trained machine learning system may utilize the metadata features to predict whether each of the documents contains personal information, without requiring any information relating to the content of such documents.

Abstract: The disclosed privacy management platforms are adapted to scan any number of data sources in order to provide users with visibility into stored personal information, risk associated with storing such information and/or usage activity relating to such information. The platforms may correlate personal information findings to specific data subjects and may employ machine learning models to classify findings as corresponding to a particular personal information attribute to provide an indexed inventory across multiple data sources.

Abstract: Systems, methods and apparatuses are disclosed to efficiently and accurately scan a plurality of documents located in any number of unstructured data sources. Preprocessed metadata is generated for each document and metadata features are determined based on the preprocessed metadata. A trained machine learning system may utilize the metadata features to predict whether each of the documents contains personal information, without requiring any information relating to the content of such documents.

Abstract: Systems, methods and apparatuses are disclosed to efficiently and accurately scan a plurality of documents located in any number of unstructured data sources. Preprocessed metadata is generated for each document and metadata features are determined based on the preprocessed metadata. A trained machine learning system may utilize the metadata features to predict whether each of the documents contains personal information, without requiring any information relating to the content of such documents.

Abstract: Exemplary privacy management platforms are described herein. Such platforms may be embodied in systems, computer-implemented methods, apparatuses and/or software applications. The described privacy management platform may be configured to scan identity, primary and/or secondary data sources in order to provide users with visibility into stored personal information, risk associated with storing such information and usage activity relating to such information. The platform may correlate personal information to specific data subjects to provide an indexed inventory across multiple data sources.

Abstract: Systems, methods and apparatuses are disclosed to cluster a plurality of documents located in any number of local and/or remote systems and applications. Preprocessed text is generated for each document, and a hash and a feature vector are determined based on the preprocessed text. A set of clusters is retrieved, wherein each cluster is associated with a hash list and a cumulative feature vector. Each of the documents may then be associated with a cluster by comparing the hash of the document to the hash lists of the clusters and/or by determining similarities between the feature vector of the document and the cumulative feature vectors of the clusters.

Abstract: The disclosed privacy management platforms are adapted to scan any number of data sources in order to provide users with visibility into stored personal information, risk associated with storing such information and/or usage activity relating to such information. The platforms may correlate personal information findings to specific data subjects and may employ machine learning models to classify findings as corresponding to a particular personal information attribute to provide an indexed inventory across multiple data sources.

Abstract: Systems, methods and apparatuses are disclosed to cluster a plurality of documents located in any number of local and/or remote systems and applications. Preprocessed text is generated for each document, and a hash and a feature vector are determined based on the preprocessed text. A set of clusters is retrieved, wherein each cluster is associated with a hash list and a cumulative feature vector. Each of the documents may then be associated with a cluster by comparing the hash of the document to the hash lists of the clusters and/or by determining similarities between the feature vector of the document and the cumulative feature vectors of the clusters.

Abstract: The disclosed privacy management platforms are adapted to scan any number of data sources in order to provide users with visibility into stored personal information, risk associated with storing such information and/or usage activity relating to such information. The platforms may correlate personal information findings to specific data subjects and may employ machine learning models to classify findings as corresponding to a particular personal information attribute to provide an indexed inventory across multiple data sources.

Abstract: According to one embodiment, a system comprises one or more processors coupled to a memory. The one or more processors when executing logic encoded in the memory provide a topology manager. The topology manager is configured to maintain a security topology of a plurality of hosts. The security topology associates one or more virtual hosts policies with a plurality of virtual hosts in a cloud computing deployment. The topology manager is also configured to request a query for one or more hosts that are candidates to be enforced. A portability manager is configured to receive a request to deploy an access control agent on the one or more candidate hosts, determine an optimal agent to be deployed from a list of available agents, and deploy the optimal agent on the one or more candidate hosts.

Abstract: According to one embodiment, a system comprises one or more processors coupled to a memory. The one or more processors when executing logic encoded in the memory provide a topology manager. The topology manager is configured to maintain a security topology of a plurality of hosts. The security topology associates one or more virtual hosts policies with a plurality of virtual hosts in a cloud computing deployment. The topology manager is also configured to request a query for one or more hosts that are candidates to be enforced. A portability manager is configured to receive a request to deploy an access control agent on the one or more candidate hosts, determine an optimal agent to be deployed from a list of available agents, and deploy the optimal agent on the one or more candidate hosts.

Abstract: According to one embodiment, a system comprises one or more processors coupled to a memory and executing logic. A policy life cycle component is configured to maintain a repository of security policies. The repository of security policies comprises policies governing access to a virtual host and to a plurality of virtual machines running on the virtual host. The policy life cycle component is also configured to issue a compound policy for an identified virtual operating system running on the virtual host. The compound policy provides a virtual host policy and access rules for each of the plurality of virtual machines running on the virtual host. A topology manager is configured to receive the compound policy from the policy life cycle component, assign the compound to an access control agent, and maintain a security policy topology. The security policy topology stores associations between access control agents and compound policies.

Abstract: According to one embodiment, a system comprises one or more processors coupled to a memory and executing logic. A policy life cycle component is configured to maintain a repository of security policies. The repository of security policies comprises policies governing access to a virtual host and to a plurality of virtual machines running on the virtual host. The policy life cycle component is also configured to issue a compound policy for an identified virtual operating system running on the virtual host. The compound policy provides a virtual host policy and access rules for each of the plurality of virtual machines running on the virtual host. A topology manager is configured to receive the compound policy from the policy life cycle component, assign the compound to an access control agent, and maintain a security policy topology. The security policy topology stores associations between access control agents and compound policies.

Abstract: According to one embodiment, a system comprises one or more processors coupled to a memory. The one or more processors when executing logic encoded in the memory provide a topology manager. The topology manager is configured to maintain a security topology of a plurality of hosts. The security topology associates one or more virtual hosts policies with a plurality of virtual hosts in a cloud computing deployment. The topology manager is also configured to request a query for one or more hosts that are candidates to be enforced. A portability manager is configured to receive a request to deploy an access control agent on the one or more candidate hosts, determine an optimal agent to be deployed from a list of available agents, and deploy the optimal agent on the one or more candidate hosts.