The present disclosure relates to determining the shareability of values of node profiles. Record objects and electronic activities of a system of record corresponding to a data source provider may be accessed. Each record object may correspond to a record object type and have one or more object field-value pairs. Node profiles may be maintained. Values of fields corresponding to a predetermined type of field including fewer than a predetermined threshold number of data source providers may be identified. A restriction tag used to restrict populating other node profiles may be generated. Provision of the value with a second data source provider may be restricted.

A new and improved onboarding process for configuring and activating an email message receiving system (EMRS) to accept and process email messages on behalf of a customer is disclosed. The process comprises generating a customer-account-specific Domain Name Server (DNS) name that identifies a customer of the EMRS and a mail server for accepting and processing email messages for a domain associated with the customer. The process includes providing the customer-account-specific DNS name to the customer, receiving a request to process email messages for the domain associated with the customer and identifying using the customer-account-specific DNS name, the mail server for receiving the email messages for the domain. The process further includes verifying, using the customer-account-specific DNS name, that the customer has permission for receiving the email messages for the domain. The process includes processing the email messages and delivering the messages to a destination system.

The present disclosure relates to generating a filtered data set. Data from a plurality of systems of record of a plurality of data source providers may be accessed. A master data set generated using the data accessed from the plurality of systems of record may be maintained. Restriction policies including one or more rules for restricting sharing of data may be maintained. A filtered data set may be generated for a data source provider responsive to an application of restriction policies of other data source providers to the master data set. The filtered data set may be provisioned.

The present disclosure relates to generating performance profiles of member nodes. A plurality of electronic activities can be accessed. A subset of electronic activities from the plurality of electronic activities can be identified. The subset of electronic activities can be parsed to identify participants of the electronic activities. A second node profile can be accessed for each participant. Participant types can be identified from each second node profiles. A distribution of the subset of electronic activities can be determined. A performance profile can be generated.

A method, apparatus, and system for internet protocol (IP) warming is described. Some systems may send large volumes of communication messages from a single IP address. If the IP address does not have a strong sender reputation, these emails may be sent to spam folders or blocked, and the IP address may be blacklisted. To build a strong sender reputation, a user may implement an IP warming plan for the IP address. To support automated IP warming, an application may identify a target number of communication messages to transmit from the IP address, retrieve communication information for a target set of devices, generate, for the IP address, a set of transmission thresholds corresponding to a set of time durations for transmitting communication messages based on the target number of communication messages and the communication information, and transmit a set of communication messages based on the set of transmission thresholds.

A system and method for the late-binding of time-based media in real-time. With late binding, the sender may create time-based media before or at the same time an active delivery route to the recipient is discovered. As soon as the route becomes available, the media is transmitted. The existing DNS and email infrastructure is possibly used for route discovery, while any real-time transmission protocol may be used for the actual delivery of the media. “Progressive” emails may also be used for the real-time delivery of time-based media.

A cyber-threat defense system for a network including its email domain protects this network from cyber threats. Modules utilize machine learning models as well communicate with a cyber threat module. Modules analyze the wide range of metadata from the observed email communications. The cyber threat module analyzes with the machine learning models trained on a normal behavior of email activity and user activity associated with the network and in its email domain in order to determine when a deviation from the normal behavior of email activity and user activity is occurring. A mass email association detector determines a similarity between highly similar emails being i) sent from or ii) received by a collection of two or more individual users in the email domain in a substantially simultaneous time frame. Mathematical models can be used to determine similarity weighing in order to derive a similarity score between compared emails.

The present disclosure relates to systems, methods, and non-transitory computer readable storage media for implementing a scalable, secure, efficient, and adaptable distributed digital ledger transaction network. Indeed, the disclosed systems can reduce storage and processing requirements, improve security of implementing computing devices and underlying digital assets, accommodate a wide variety of different digital programs (or “smart contracts”), and scale to accommodate billions of users and associated digital transactions. For example, the disclosed systems can utilize a host of features that improve storage, account/address management, digital transaction execution, consensus, and synchronization processes. The disclosed systems can also utilize a new programming language that improves efficiency and security of the distributed digital ledger transaction network.

Disclosed herein are systems and techniques for using a content delivery network to perform various functions within a digital advertising ecosystem, in ways that yield technological benefits such as improved security, efficiency, and speed (for example, reduction in publisher load times). As one specific example, a content delivery network can be used for the creation of electronic tokens for user identity protection between demand side platforms, supply side platforms, content creators (for example, advertisers), and publishers.

The present disclosure relates to systems, methods, and non-transitory computer readable storage media for implementing a scalable, secure, efficient, and adaptable distributed digital ledger transaction network. Indeed, the disclosed systems can reduce storage and processing requirements, improve security of implementing computing devices and underlying digital assets, accommodate a wide variety of different digital programs (or “smart contracts”), and scale to accommodate billions of users and associated digital transactions. For example, the disclosed systems can utilize a host of features that improve storage, account/address management, digital transaction execution, consensus, and synchronization processes. The disclosed systems can also utilize a new programming language that improves efficiency and security of the distributed digital ledger transaction network.