Palantir Technologies Inc.

Kevin Simons

Greg DeArment

Vivek Lakshmanan

Guodong Xu

Mahmoud Abdelsalam

Grant Wu

Richard Niemi

Peter Wang

James Ross

Eric Santos

Jack Grossman

Daniel Erenrich

Arseny Bogomolov

Cooper Bills

Nathaniel Klein

Ryan Beiermeister

Eric Anderson

Alexander Visbal

Clare Adrien

Eric Raboin

William Hickman

Matthew Levan

Matthew Gerhardt

Charissa Sonder Plattner

James Rosswog

Tim O'Brien

A system with an interactive user interface for users to view and interact with sanitized log data received from a plurality of hosts, such as those associated with various services of an organization. The system may receive from hosts log files and/or metadata that have been filtered by agents executing on the respective hosts to remove or anonymize any sensitive or confidential information prior to transmission to the system. In some embodiments the system does further filtering of the sanitized data. Received sanitized data is parsed, indexed, and/or otherwise processed for optimal searching, and stored in a log pipeline. The system causes display of an electronic visualization interface.

Linking related events for various devices and services in computer log files on a centralized server

A system for managing firewall rules between different services. In certain instances, the method includes receiving a discovery graph comprising a plurality of services and at least one application programming interface (API) dependency, wherein the plurality of services comprises a first service and a second service. In some instances, the method further includes determining whether the second service is permitted to receive an initial communication from the first service based upon the at least one API dependency included in the discovery graph. And, in response to determining the second service is permitted to receive the initial communication from the first service, the method can include establishing a first rule for a firewall between the first service and the second service, the first rule allowing the second service to receive the initial communication from the first service.

Systems and methods for managing firewall rules and connections between different services

A system with an interactive user interface for users to view and interact with sanitized log data received from a plurality of hosts, such as those associated with various services of an organization. The system may receive from hosts log files and/or metadata that have been filtered by agents executing on the respective hosts to remove or anonymize any sensitive or confidential information prior to transmission to the system. In some embodiments the system does further filtering of the sanitized data. Received sanitized data is parsed, indexed, and/or otherwise processed for optimal searching, and stored in a log pipeline. The system causes display of an electronic visualization interface comprising a dynamic electronic search configured to receive an indication of various log search criteria, such as an error or trace identifier, that are used to identify matching log files meeting the provided criteria, such as log files associated with services executed on different hosts.

A case management system is configured to generate search templates based on selection of a search type and one or more data sources. As configured, the case management system enables execution of searches using the generated search template on synchronous and asynchronous data sources and provides periodic polling of the asynchronous data sources to generate consolidated search results.

Systems and methods for search template generation

Computer implemented systems and methods are disclosed for identifying and categorizing electronic documents through machine learning. In accordance with some embodiments, a seed set of categorized electronic documents may be used to train a document categorizer based on a machine learning algorithm. The trained document categorizer may categorize electronic documents in a large corpus of electronic documents. Performance metrics associated with performance of the trained document categorizer may be tracked, and additional seed sets of categorized electronic documents may be used to improve the performance of document categorizer by retraining the document categorizer on subsequent seed sets. Additional seed sets may and categorizations may be iterated through until a desired document categorization performance is reached.

Systems and methods for identifying and categorizing electronic documents through machine learning

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San Francisco, CA, United States of America

Kevin Simons