Palantir Technologies Inc.

Elliot Colquhoun

Gautam Punukollu

Morten Kromann

Raj Krishnan

Andrew Eggleton

Brandon Helms

Nikhil Seetharaman

Tareq Alkhatib

Ranec Highet

Xiao Tang

Ankit Shankar

Samuel Jones

Thomas Mathew

Dayang Shi

Alexandra Serenhov

Cem Zorlular

Jeffrey Tsui

Darren Zhao

Carl Ambroselli

Daniel Kelly

Abhishek Agarwal

Simon Vahr

Sriram Krishnan

Brian Keohane

Rahij Ramsharan

Joshua Casale

Hugh Zabriskie

Rushad Heerjee

Nik Seetharaman

A method, performed by one or more processors, including: receiving one or more event records; generating, using the one or more event records, an event descriptor object descriptive of one or more events occurring in a networked system, wherein the event descriptor object comprises a plurality of event properties; receiving one or more entity records; generating, using the one or more entity records, an entity descriptor object descriptive of one or more entities relevant to the security of the networked system, wherein the entity descriptor object comprises a plurality of entity properties; incorporating, into an object graph, the event descriptor object and the entity descriptor object; and associating, in the object graph, the event descriptor object with the entity descriptor object using at least one of the plurality of event properties and at least one of the plurality of entity properties.

System event detection system and method

A method, apparatus, and computer program are disclosed. The method may be performed by one or more processors and may comprise receiving first data representing an infrastructure of a computer network, the first data comprising an indication of hosts which form at least part of the computer network and one or more software resources on respective hosts. The method may also comprise receiving second data from a vulnerability scanning software, the second data comprising an indication of one or more vulnerabilities detected in the one or more software resources provided on at least some of the hosts of the computer network. Using a combination of the first data and the second data, output data may be generated representing a risk profile of the computer network infrastructure, the output data indicating one or more subsets of hosts, determined as being at risk of being affected by the detected vulnerabilities by virtue of the software resources they provide for output on a user interface.

Detection of vulnerabilities in a computer network

A method, performed by one or more processors, including receiving a plurality of system event records; processing the plurality of system event records using a set of event detectors to determine that a suspicious system event has occurred; sending, to a client device, a plurality of properties associated with the suspicious system event; receiving, from the client device, a selection indicator indicating a selected one or more properties of the plurality of properties; generating one or more new event detectors based on the selected one or more properties; and adding the one or more new event detectors to the set of event detectors.

A method, performed by one or more processors, including: receiving a user query; deriving, based on the user query, a search engine query for use with search engine software and a data access query for use with data access software; sending, to the search engine software, the search engine query to cause the search engine software to locate first data stored in a search engine index; sending, to the data access software, the data access query to cause the data access software to locate second data stored in a distributed data store; receiving, from the search engine software, the first data; and receiving, from the data access software, the second data.

Data retrieval system and method

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Sydney, Australia

Elliot Colquhoun