Sri International

Salesforce Com, Inc.

Kenneth C Nitz

William Scott Mark

Thierry Donneau-Golencer

Patrick Denis Lincoln

Phillip Andrew Porras

Madhu Yarlagadda

Rajan Singh

Corey Hulen

Rukman Senanayake

Grit Denker

Karen L Myers

Norman D Winarsky

Steven S Weiner

Hung H Bui

Adam John Cheyer

Ajay Divakaran

Elizabeth E Shriberg

Girish Acharya

Amir Tamrakar

Edgar Kalns

Michael Frandsen

Min Yin

Michael Wessel

Jihua Huang

Cory Albright

Stephen L Hardt

Andreas Tsiartas

Hyong-Gyun Kim

Leslie Pound

David Dunkley

Eric Law

Brent Mombourquette

Greg Ho

James R Carpenter

Dayne B Freitag

Bart Peintner

Neil Yorke-Smith

Melinda Gervasio

Keith M Skinner

David A Salter

James F Carpenter

Paul Stern Kalmar

Pauline M Berry

Steven Cheung

David Salter

A method for creating a training playbook to train a potential target of social engineering against an attack by an adversarial actor includes generating a training playbook based on a plurality of conversational patterns from a respective plurality of dialogs between non-human synthetic persona with the adversarial actor. A given conversational pattern of the plurality of conversational patterns comprises one or more dialog interaction elements utilized by the adversarial actor during a respective dialog of the plurality of dialogs. The method also includes configuring a dialog model for a second synthetic persona to engage in a training dialog with a target trainee to train the target trainee to detect, avoid and/or mitigate a future attack by the adversarial actor. The dialog model is configured to emulate the future attack by the adversarial actor by utilizing the training playbook. The method additionally includes outputting the training playbook.

Systems and methods for training against adversarial attacks

Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information. The virtual personal assistant can further be configured to determine an action using the current intent and the current input state.

VPA with integrated object recognition and facial expression recognition

A method of determining an adversarial attack playbook includes receiving, from an adversarial actor, an electronic communication intended for a target user. The method includes engaging in a deep dialog with the adversarial actor by deploying a synthetic persona dynamically during the electronic communication. The deep dialog includes multiple rounds of communication exchanges. The method includes determining a length and type of the deep dialog to obtain attributes related to the adversarial actor. The method includes identifying a conversational pattern from the deep dialog. The conversational pattern comprises dialog interaction elements utilized by the adversarial actor. The method includes dynamically producing, based on the conversational pattern, the playbook associated with the adversarial actor. The playbook is indicative of a dialog interaction strategy implemented by the adversarial actor. The method includes providing the playbook to a social engineering attack (SEA) system in order to detect, avoid and/or mitigate future attacks.

Conversation-depth social engineering attack detection using attributes from automated dialog engagement

The activities of multiple virtual personal assistant (VPA) applications are coordinated. For example, different portions of a conversational natural language dialog involving a user and a computing device may be handled by different VPAs.

Providing virtual personal assistance with multiple VPA applications

A correlator that includes a number of modules cooperating with each other. A transaction correlation module correlates network flow information for one or more network packet flows corresponding to one or more host-agent network-transaction records on whom participated in a network packet flow. The host-agent network-transaction records at least contain source information. A host input module to take in the host-agent network-transaction records from each host agent on its host computing device connecting to the correlator. A merged record creator creates a merged record for corresponding matches of one or more of the host-agent network-transaction records to one or more of the network packet flows. The merged record gives the network policy enforcement module a complete picture of both the network traffic flow information along with the source information that participated in the network packet flows in order to apply network polices against the network packet flows.

Cyber security using host agent(s), a network flow correlator, and dynamic policy enforcement

A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.

Tools and techniques for extracting knowledge from unstructured data retrieved from personal data sources

A device, method and system for automatically inferring a mobile user's current context includes applying a user activity knowledge base to real-time inputs and stored user-specific information to determine a current situation. Automated reasoning is used to infer a user-specific context of the current situation. Automated candidate actions may be generated and performed in accordance with the current situation and user-specific context.

Method, system and device for inferring a mobile user's current context and proactively providing assistance

A network security policy may be implemented at network switches as a set of active packet disposition directives. In a dynamically programmable network, the network switches can be dynamically reprogrammed with new packet disposition directives. An event auditor passively monitors network traffic and provides network activity data indicative of network flows to a network privilege manager. The network privilege manager determines a current network context based on the network activity data. In response to the current network context, the network privilege manager selects a security policy and generates one or more flow policy directives in accordance with the selected policy.

Network privilege manager for a dynamically programmable computer network

The present invention relates to a method and apparatus for assembling a set of documents related to a triggering item. One embodiment of a method for assembling a set of electronic documents related to an electronic triggering item detected by a computing device being operated by a user includes automatically extracting by the computing device a set of features from the triggering item, without receiving a request by the user to assemble the set of electronic documents, and assembling as the set of electronic documents a plurality of documents that is relevant to the set of features, wherein the plurality of documents is retrieved from a plurality of different types of electronic sources.

Method and apparatus for assembling a set of documents related to a triggering item

A system may include a machine-implemented data extractor and correlator configured to retrieve data from at least one data source. The data extractor and correlator may extract information from unstructured data within the retrieved data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data.

Extracting and leveraging knowledge from unstructured data

Growing community of inventors

Redwood City, CA, United States of America

Kenneth C Nitz