Lookout, Inc.

Cryptography Research, Inc.

Yogesh Swami

Kevin Patrick Mahaffey

Timothy Micheal Wyatt

Brian James Buck

David Luke Richardson

James David Burgess

John Gunther Hering

William Neil Robinson

Daniel Lee Evans

David Golombek

Bruce Christopher Wootton

Anthony McKay Lineberry

Kyle Barton

Jonathan Grubb

Ariel Salomon

Timothy Strazzere

Tim Strazzere

Daniel O'Loughlin

Denis Alexandrovich Pochuev

Methods and systems are provided for sharing information and improving the functioning of devices by blocking potentially harmful communications. In the methods and systems disclosed, a security component on an electronic device may receive a policy. The security component may also receive, from a local device proxy on the electronic device, information pertaining to a communication. The security component may compare the information pertaining to the communication to the policy. The comparison may result in a determination that the communication is potentially harmful. The security component may then instruct the local device proxy to block the communication from proceeding past the local device proxy.

Methods and systems for blocking potentially harmful communications to improve the functioning of an electronic device

Methods are provided for determining an enterprise risk level, for sharing security risk information between enterprises by identifying a security response by a first enterprise and then sharing the security response to a second enterprise when a relationship database profile for the first collection indicates the security response may be shared. Methods are also provided for determining whether to allow a request from an originating device where the request may have been initiated by a remote device.

Methods and systems for sharing risk responses between collections of mobile communications devices

Methods and systems are provided for sharing security risk information between collections of computing devices, such as mobile communications devices, to improve the functioning of devices associated with the collections. The methods and systems disclosed may share security risk information by identifying a security risk response by a first collection and then providing the security risk response to a second collection when a relationship database profile for the first collection indicates the security response may be shared with the second collection. Methods and systems are also provided for determining whether to allow a request from an originating device where the request may have been initiated by a remote device.

Methods and systems for sharing risk responses to improve the functioning of mobile communications devices

The embodiments described herein describe technologies for a device definition process to establish a unique identity and a root of trust of a cryptographic manager (CM) device, the CM device to be deployed in a CM system. The device definition process can take place in a device definition phase of a manufacturing lifecycle of the CM device. One implementation includes a non-transitory storage medium to store an initialization application that, when executed by a CM device, causes the CM device to perform a device definition process to generate a device definition request to establish the unique identity and the root of trust. In response to the device definition request, the initialization application obtains device identity and device credentials of the CM device and stores the device definition request in storage space of a removable storage device. The initialization application imports a device definition response containing provisioning information generated by a provisioning device of a cryptographic manager system in response to the device definition request.

Establishing an initial root of trust for individual components of a distributed security infrastructure

An analysis including a comparison is performed of first and second applications and a determination is made regarding whether the first is a counterfeit version of the second application, or vice-versa. Based on the analysis and comparison, and based on an assessment of the first application, an assessment of the second application may be generated.

Comparing applications and assessing differences

A crawler program collects and stores application programs including application binaries and associated metadata from any number of sources such as official application marketplaces and alternative application marketplaces. An analysis including comparisons and correlations are performed among the collected data in order to detect and warn users about pirated or maliciously modified applications.

Crawling multiple markets and correlating

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San Francisco, CA, United States of America

Yogesh Swami