Cylance Inc.

Obsidian Security, Inc.

Matt Wolff

Derek A Soeder

Benjamin Johnson

Marcus Mccurdy

Naresh Chebolu

Alexander Vandenberg-Rodes

Noah Corradin

Samantha Staszak

David Newhall

Matthew Maisel

Christopher Galbraith

Christopher Fuller

Jody Forness

Brian Lau

Jedidiah Mitten

A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.

Systems and methods for detecting security incidents across cloud-based application services

Data is received that includes at least a portion of a program. Thereafter, entry point locations and execution-relevant metadata of the program are identified and retrieved. Regions of code within the program are then identified using static disassembly and based on the identified entry point locations and metadata. In addition, entry points are determined for each of a plurality of functions. Thereafter, a set of possible call sequences are generated for each function based on the identified regions of code and the determined entry points for each of the plurality of functions. Related apparatus, systems, techniques and articles are also described.

Generation of API call graphs from static disassembly

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Newport Beach, CA, United States of America

Matt Wolff