A network storage volume stores first entries in a first-mode storage bucket and a second entries in a second-mode storage bucket. The first-mode storage bucket has first bucket metadata, and the second-mode storage bucket has second bucket metadata. A computer-implemented method includes comparing a utilized capacity of the network storage volume to a target capacity information of the network storage volume to obtain a comparison result. Based on the comparison result, at least one bucket is selected to be purged from the buckets of the network storage volume based at least in part on bucket metadata of the buckets. The method further includes causing a purge of the at least one selected bucket from the network storage volume.

Embodiments of various systems and methods described herein provide an identity security database analytics system which is configured to provide security alerts to a user. The security alerts can include for personalized metrics related to potential identity theft incidents. The personalized metrics can include user specific information on security breaches of the user's personal information as well as depersonalized statistics generated based on information of other users having one or more similar characteristics of the user.

A method, computer program and apparatus is disclosed. The method, performed by one or more processors, may comprise receiving, from one or more predetermined organizations, datasets representing entities and datasets representing one or more tasks for those entities and storing in a database, in accordance with an ontology which is common to the organizations, the received one or more datasets as data objects, the ontology defining properties of data objects and relationships between the data objects. The method may also comprise mapping the data objects stored in the database to the organization from which the one or more datasets were received and receiving, through a querying application, a query from a user of one of the predetermined organizations to view one or more data objects relating to a task. The method may also comprise identifying the organization to which the user is associated, generating, based on the mapping, a view including at least the one or more task data objects associated with the identified organization and not data objects associated with other organizations and displaying the view on a user interface.

Embodiments of the present disclosure relate to sharing database roles using hidden roles. A database role may be generated within a database container having a plurality of data objects, wherein the database role exists exclusively within the database container. A set of grants to a particular subset of the plurality of data objects of the database container may be assigned to the database role. For each of a set of share objects to which the database role is to be granted: a hidden role having no identifier may be created, the database role may be granted to the hidden role, and the hidden role may be granted to a share object. Each of the set of share objects are mounted within a consumer account to generate a set of imported database containers within the consumer account, wherein each imported database container includes an individualized grant of the database roles.

In one embodiment, a system for managing a virtualization environment includes a set of host machines, each of which includes a hypervisor, virtual machines, and a virtual machine controller, and a data migration system configured to identify one or more existing storage items stored at one or more existing File Server Virtual Machines (FSVMs) of an existing virtualized file server (VFS). For each of the existing storage items, the data migration system is configured to identify a new FSVMs of a new VFS based on the existing FSVM, send a representation of the storage item from the existing FSVM to the new FSVM, such that representations of storage items are sent between different pairs of FSVMs in parallel, and store a new storage item at the new FSVM, such that the new storage item is based on the representation of the existing storage item received by the new FSVM.

An apparatus includes a memory and a hardware processor. The memory stores a plurality of logging rules. Each logging rule assigned to a tier of a multi-tier platform. The processor receives source code for an application configured to execute on a plurality of tiers of the multi-tier platform and detects, within the source code, an entry point and an exit point for a tier of the plurality of tiers. The processor determines, based on the plurality of logging rules, a first attribute that is to be logged during execution in the tier and a second attribute that is not to be logged during execution in the tier and inserts, between the entry point and the exit point in the source code, logging code that, when executed, logs the first attribute and hides the second attribute.

A system including an electronic document inspection device that identifies a set of electronic documents using a search query; a composite page generator that generates a composite page that i) is hosted by a different domain than at least some electronic documents in the set of electronic documents and ii) includes electronic documents from the set of electronic documents; an asset package generator that generates digital content asset packages, each digital content asset package including i) digital content assets and ii) instructions that specify a configuration of the digital content assets for the respective digital content asset package; and an asset package list generator that generates a digital content asset package list specifying an order of presentation of the digital content asset packages, wherein the composite page, the digital content asset packages, and the digital content asset package list are transmitted to a user device that provides the search query.

In some examples, in response to a request from a client device for information relating to a transaction stored by a blockchain, a system identifies, using information stored in a distributed storage system that stores data for the blockchain, multiple data owner entities from which permissions are to be obtained for access of the information, and determines an authorization requirement for the information based on a smart contract. The system sends authorization information based on the authorization requirement to trigger a retrieval of authorization tokens from the identified data owner entities for access of the information, and sends the information to the client device in response to receiving the authorization tokens.

Systems, computer program products, and methods are described herein for implementing multi-dimensional data obfuscation. The present invention is configured to electronically receive, from a computing device of a user, a request to implement a multi-dimensional data obfuscation on a first database; initiate a data obfuscation engine on the first database based on at least receiving the request, wherein initiating further comprises: determining one or more data types associated with the one or more data artifacts; determining one or more exposure levels of the one or more data artifacts; retrieving, from a data obfuscation repository, one or more data obfuscation algorithms; and implementing the one or more data obfuscation algorithms on the one or more data artifacts based on at least the one or more data types; and generate an obfuscated first database based on at least initiating the data obfuscation engine on the first database.

In one embodiment, a processor includes a memory hierarchy and a core coupled to the memory hierarchy. The memory hierarchy stores encrypted data, and the core includes circuitry to access the encrypted data stored in the memory hierarchy, decrypt the encrypted data to yield decrypted data, perform an entropy test on the decrypted data, and update a processor state based on a result of the entropy test. The entropy test may include determining a number of data entities in the decrypted data whose values are equal to one another, determining a number of adjacent data entities in the decrypted data whose values are equal to one another, determining a number of data entities in the decrypted data whose values are equal to at least one special value from a set of special values, or determining a sum of n highest data entity value frequencies.