Palantir Technologies Inc.

Orbital Insight, Inc.

Matthew Falk

Lucas Lemanowicz

Timothy Yousaf

Michael Glazer

Joseph Staehle

Robin Lim

Sebastien Noury

Christopher K Koverman

Maxim Ladonnikov

Rochit Sapra

A system and a method are disclosed for identifying features in a geographic area captured by a sensor. A server transmits computer readable instructions to a client device to cause the client device to display a first graphical element including data entry user interface elements for inputting one or more parameters. The server receives one or more data inputs corresponding to the one or more parameters. In response to receipt of the data inputs, the server transmits computer readable instructions to cause the client device to display a timeline graphical user interface element identifying detections of a feature in data captured for the geographic area. The data captured for the geographic area is selected based on the identified parameters and the timeline graphical user interface is segment into multiple display elements based on the identified parameters.

Dynamic graphical user interface for analyzing sensor captured data

Embodiments of the present disclosure relate to a data analysis system that may automatically analyze a suspected malware file, or group of files. Automatic analysis of the suspected malware file(s) may include one or more automatic analysis techniques. Automatic analysis of may include production and gathering of various items of information related to the suspected malware file(s) including, for example, calculated hashes, file properties, academic analysis information, file execution information, third-party analysis information, and/or the like. The analysis information may be automatically associated with the suspected malware file(s), and a user interface may be generated in which the various analysis information items are presented to a human analyst such that the analyst may quickly and efficiently evaluate the suspected malware file(s). For example, the analyst may quickly determine one or more characteristics of the suspected malware file(s), whether or not the file(s) is malware, and/or a threat level of the file(s).

Malware data item analysis

Growing community of inventors

New York, NY, United States of America

Matthew Falk