公开(公告)号：US10936479B2

公开(公告)日：2021-03-02

申请号：US16572404

申请日：2019-09-16

Applicant: Palantir Technologies, Inc.

Inventor： Peter Maag ,  Jacob Albertson ,  Jared Newman ,  Matthew Lynch ,  Maciej Albin ,  Viktor Nordling

IPC: G06F11/36 ,  G06F11/07

Abstract: Discussed herein are embodiments of methods and systems which allow engineers or administrators to create modular plugins which represent the logic for various fault detection tests that can be performed on data pipelines and shared among different software deployments. In some cases, the modular plugins each define a particular test to be executed against data received from the pipeline in addition to one or more configuration points. The configuration points represent configurable arguments, such as variables and/or functions, referenced by the instructions which implement the tests and that can be set according to the specific operation environment of the monitored pipeline.

公开(公告)号：US20170337124A1

公开(公告)日：2017-11-23

申请号：US15671423

申请日：2017-08-08

Applicant: Palantir Technologies, Inc.

Inventor： Peter Maag ,  Jacob Albertson ,  Jared Newman ,  Matthew Lynch ,  Maciej Albin ,  Viktor Nordling

IPC: G06F11/36 ,  G06F11/07

CPC classification number: G06F11/3692 ,  G06F11/0751 ,  G06F11/0775

Abstract: Discussed herein are embodiments of methods and systems which allow engineers or administrators to create modular plugins which represent the logic for various fault detection tests that can be performed on data pipelines and shared among different software deployments. In some cases, the modular plugins each define a particular test to be executed against data received from the pipeline in addition to one or more configuration points. The configuration points represent configurable arguments, such as variables and/or functions, referenced by the instructions which implement the tests and that can be set according to the specific operation environment of the monitored pipeline.

公开(公告)号：US09772934B2

公开(公告)日：2017-09-26

申请号：US14877229

申请日：2015-10-07

Applicant: Palantir Technologies, Inc.

Inventor： Peter Maag ,  Jacob Albertson ,  Jared Newman ,  Matthew Lynch ,  Maciej Albin ,  Viktor Nordling

IPC: G06F11/00 ,  G06F11/36 ,  G06F11/07

CPC classification number: G06F11/3692 ,  G06F11/0751 ,  G06F11/0775

Abstract: Discussed herein are embodiments of methods and systems which allow engineers or administrators to create modular plugins which represent the logic for various fault detection tests that can be performed on data pipelines and shared among different software deployments. In some cases, the modular plugins each define a particular test to be executed against data received from the pipeline in addition to one or more configuration points. The configuration points represent configurable arguments, such as variables and/or functions, referenced by the instructions which implement the tests and that can be set according to the specific operation environment of the monitored pipeline.

公开(公告)号：US20170134425A1

公开(公告)日：2017-05-11

申请号：US14684231

申请日：2015-04-10

Applicant: Palantir Technologies Inc.

Inventor： Jacob Albertson ,  Melody Hildebrandt ,  Harkirat Singh ,  Shyam Sankar ,  Rick Ducott ,  Peter Maag ,  Marissa Kimball

IPC: H04L29/06

CPC classification number: H04L63/20 ,  G06F21/50 ,  G06F21/55 ,  H04L63/14 ,  H04L63/1441

Abstract: Systems and techniques for sharing security data are described herein. Security rules and/or attack data may be automatically shared, investigated, enabled, and/or used by entities. A security rule may be enabled on different entities comprising different computing systems to combat similar security threats and/or attacks. Security rules and/or attack data may be modified to redact sensitive information and/or configured through access controls for sharing.

公开(公告)号：US09454785B1

公开(公告)日：2016-09-27

申请号：US14857071

申请日：2015-09-17

Applicant: Palantir Technologies Inc.

Inventor： Sean Hunter ,  Aditya Kumar ,  Jacob Albertson

IPC: G06Q40/00 ,  G06Q40/04 ,  G06F17/30 ,  G06F3/0482

CPC classification number: G06Q40/04 ,  G06F3/0482 ,  G06F17/30522 ,  G06F17/30598 ,  G06Q40/00

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria, rules, indicators, or scenarios so as to generate scores, reports, alerts, or conclusions that the analyst may quickly and efficiently use to evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters in the context of, for example, a risky trading investigation.

Abstract translation: 本公开的实施例涉及一种数据分析系统，其可以自动生成存储器有效的集群数据结构，自动分析这些集群数据结构，自动标记和分组这些集群数据结构，并且提供自动化分析和分组的结果。 分析师的方式。 集群数据结构（本文中也称为数据集群）的自动化分析可以包括各种标准，规则，指标或场景的自动化应用，以便生成分析师可能快速得到的分数，报告，警报或结论， 有效地用于评估数据集群。 特别地，可以在交互式用户界面中动态地重新分组和/或过滤数据集群，以便分析人员可以在与各种数据集群相关联的信息之间快速导航，并在上下文中有效地评估那些数据集群 例如，有风险的交易调查。