Proofpoint, Inc.

Theta Lake, Inc.

Nexgate, Inc.

Richard Banks Sutton

Devin Hugh Redmond

Anthony Lawrence Dorie

Sharon Hüffner

Daniel Oshiro Nadir

Derek G Brenner

Rohit Jain

Wenchang Yan

James E Anderson

Harold Nguyen

Sharon Huffner

Anthony Cresci

Raymond Kruck

Ray Kruck

Jorge Iriso

David Oshiro Nadir

Michael Bixby Villa

Devon Hugh Redmond

Alon Albalak

A security and compliance platform ingests content from heterogeneous collaboration platforms and processes the content to detect potential regulatory, privacy, and security risks in the conversations. One of the detections that can be applied is the identification of application windows appearing during a collaboration screen share. Because these applications may contain sensitive personally identifiable information (PII), technical trade secrets, or highly confidential corporate information, there is meaningful utility in identifying instances when these applications are shared. If applications shared on screen is detected, a corresponding workflow action may be implemented, for example flagging a session for further analysis in a review screen of the security and compliance platform.

System and method for visual identification of displayed applications in electronic communications

Technology is disclosed for detecting imposters of a brand account. The technology can store a brand profile of the brand account, detect that a message has been publicly communicated to the brand account from a social media account, monitor messages sent publicly to the social media account from other social media accounts by repeatedly comparing the brand profile to metadata of each of the monitored messages, and identify at least one of the other social media accounts as an imposter account based on the comparing. The technology can cease the comparing at predetermined expiration time occurring after the detection of the message that was sent publicly to the brand account.

Detection and prevention of fraudulent activity on social media accounts

Systems and methods for enhanced rule-based querying of unstructured text using graph analysis are provided. Some embodiments apply machine learning to the analysis of unstructured text to identify regulatory, privacy, and cybersecurity risks. In some embodiments, a query string is provided to identify desired content in the unstructured text. The query string is tokenized and the tokenized parts are converted into nodes of a query graph and relationships are defining between the nodes. After identifying matches between terms in target text with nodes of the query graph, a graph is generated using matched terms as nodes. Based on the defined relationships, a determination is made whether any group of nodes on the graph satisfy the query string. Any matched nodes are mapped to the target text, and this information is provided to an analyst or reviewer for further consideration or action.

System and method for querying of unstructured text using graph analysis

A data security system interfaces with a plurality of heterogeneous online platforms, each having its own platform specific set of data compliance or security settings. The data security system maps a set of common data compliance or security settings to the platform specific data compliance or security settings and monitors a state of the platform specific set of data compliance or security settings. If the data security system determines that the state of a platform specific data compliance or security settings do not comply with a specified common data compliance or security setting state, the system automatically changes the state of the platform specific data compliance or security settings to comply with the common data compliance or security settings setting state.

Systems and methods for monitoring and enforcing controls across heterogeneous platforms

Methods and systems allow organizations to discover accounts, subscriptions, properties, sites and other online portals within each distinct social network platform and across disparate social network platforms, publishing platforms and networks that represent, claim to represent or are relevant to their organization and/or brands based on search terms and facilitate the statistical reporting and analysis of activities on the discovered properties.

Systems and methods for discovering social accounts

Systems and methods for detecting and using semantic relatedness to classify segments of digital text are disclosed. More particularly, embodiments determine the semantic relatedness of segments of text to abstract categories where the abstract categories are not defined by a single word or semantic concept. Detecting semantic relatedness includes analyzing text, embedding the text, and determining semantic relatedness to a set of concepts for a category where each concept may include a set of words/phrases embedded in a similar fashion. The text embedding can be projected onto each concept embedding and reduced to a score representing semantic relatedness. The text is classified based on the semantic relatedness.

Systems and methods for determining and using semantic relatedness to classify segments of text

A data security system interfaces with a plurality of heterogeneous online collaboration platforms, each having its own platform specific set of collaboration settings to control access to collaborative data. The data security system maps a set of common collaboration settings to the platform specific set of collaboration settings of each heterogeneous online collaboration platform and monitors a state of the platform specific set of collaboration settings of each heterogeneous online collaboration platform. If the data security system determines that the state of a platform specific collaboration setting does not comply with a specified common collaboration setting state, the data security system automatically changes the state of the platform specific collaboration setting to comply with the common collaboration setting state.

Systems and methods for monitoring and enforcing collaboration controls across heterogeneous collaboration platforms

Technology is disclosed for detecting, classifying, and/or enforcing policies on social networking activity. The technology can store a content policy, classify content posted to a social network, determine that the classification corresponds to the content policy, and apply an action specified by the content policy to the posted content.

Detecting, classifying, and enforcing policies on social networking activity

A data security system collects collaboration platform collaboration settings through interfaces and analyzes those settings against a policy of common collaboration settings for security and compliance. The data security system interfaces with a plurality of heterogeneous online collaboration platforms, each having its own platform specific set of collaboration settings to control access to collaborative data. The data security system maps the set of common collaboration settings to the platform specific set of collaboration settings of each heterogeneous online collaboration platform from the plurality of heterogeneous online collaboration platforms and monitors a state of the platform specific set of collaboration settings of each heterogeneous online collaboration platform. Based on a determination that a platform specific collaboration setting does not comply with the collaboration setting policy, the data security system can take a remedial action or other action.

A computer implemented method includes monitoring changes to an account accessible by a group of subscribers that form a social network. The changes to the account are compared to a normative base line to identify deviations from the normative base line. An alert is sent in response to deviations from the normative base line. The normative base line is defined by metadata gathered through an application program interface associated with the account, account entity data and a set of predefined rules.

Apparatus and method for social account access control

Technology is disclosed for detecting, classifying, and/or enforcing rules on social networking activity. The technology can scan and collect social content data from one or more social networks, store the social content data, classify content data posted to a social network, create and apply a set of social data content rules to future posted social content data.

Growing community of inventors

San Mateo, CA, United States of America

Richard Banks Sutton