Systems and methods for monitoring gameplay for stopping points and applying a setting preference at a next predicted timing point. The monitored gameplay may be based on object data received from an object server. The supervising control server may predict one or more starting and/or stopping timing points in stopping periods within a gameplay session. The predicting of the one or more starting and/or stopping timing points may be based on a comparison of the gameplay data to historical gameplay data. Then, a setting preference set by a supervisory account may be applied to a next predicted timing point.

Each instance environment of a plurality of computing instance environments is associated with its corresponding set of users belonging to one or more user groups, its corresponding processes, and its corresponding data access privileges. For at least one of the computing instance environments, database tables accessible by the corresponding computing instance environment are analyzed to determine whether each of the database tables includes data belonging to one or more sensitive data categories. Based at least in part on a result of the analysis determining whether each of the database tables includes data belonging to the one or more sensitive data categories, a data risk metric is determined for the corresponding computing instance environment.

A system and method are disclosed for secure multi-party computations. The system performs operations including establishing an API for coordinating joint operations between a first access point and a second access point related to performing a secure prediction task in which the first access point and the second access point will perform private computation of first data and second data without the parties having access to each other's data. The operations include storing a list of assets representing metadata about the first data and the second data, receiving a selection of the second data for use with the first data, managing an authentication and authorization of communications between the first access point and the second access point and performing the secure prediction task using the second data operating on the first data.

The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.

Embodiments may generally be directed components and techniques to detect a request to provide banking account information over a one or more voice connections, identify the requested banking account information, and generate speech data representing the banking account information requested. In embodiments further include communicating the speech data to another device.

This disclosure relates to data security and cryptography. In one aspect, a method includes updating a user interface of a client device to present user interface controls that enable a user to specify data privacy settings that define how entities collect, store, and use data of the user. The data security system receives a request to modify a data privacy setting for one or more entities from the client device based on user interaction with one or more of the user interface controls. The request includes an ephemeral user identifier for the user and an attestation token. The data security system validates the request using at least the ephemeral user identifier and the attestation token. The data security system transmits data instructing the entity to modify usage of the user data based on the modified given data privacy setting to each of the one or more entities.

In a blockchain, contents of communication of electronic data are basically made public, and a malicious person can find system vulnerability of the blockchain. Leak of secret information or the like to an unintended third party through unauthorized access or the like by exploiting the vulnerability and cause is actually possible. Thus, it cannot be said that sufficient security measures are taken. In the present invention, a colony server stores partial data containing data of a predetermined size from a beginning of data to be managed received from a terminal, and a center server stores body data containing data of the predetermined size +1 and thereafter. Thus, the data to be managed is managed in a divided manner. Also, even if the body data is leaked from the colony server through unauthorized access or the like, the body data is merely part of the data to be managed, and has no value on its own. Thus, the present invention provides a system and the like for achieving robust security against unauthorized access.

A computer-implemented method is disclosed. The method includes: receiving transfer parameters associated with a request for a first transfer of resources, the transfer parameters including an identifier of a designated transferor associated with the first transfer; determining that the transferor is eligible to access at least one protected data source based on the transfer parameters; generating a request message for the request including reference data for accessing the at least one protected data source; and providing, to a computing device associated with the transferor, the request message.

Persistent storage contains a parent table and one or more child tables, the parent table containing: a class field specifying types, and one or more filter fields. One or more processors may: receive a first request to read first information of a first type for a first entity; determine that, in a first entry of the parent table for the first entity, the first type is specified in the class field; obtain the first information from a child table associated with the first type; receive a second request to read second information of a second type for a second entity; determine that, in a second entry of the parent table for the second entity, the second type is indicated as present by a filter field that is associated with the second type; and obtain the second information from a set of additional fields in the second entry.

Systems and methods for throttling requests submitted to a database are designed to maximize the rate at which information can be obtained from the database. In the throttling methods, the time required for the database to perform a certain operation is monitored. If the time required to perform the operation exceeds a threshold time period, a request limit is imposed on the database, the request limit limiting the number of data read and/or write requests that can be submitted to the database per unit of time.