Charles W Hayden, 82Seattle, WA

2011018, Jul 28, 2011

Jan 28, 2010

12/695296

Charles C. Hayden - Issaquah WA, US
RaviKant Cherukuri - Snoqualmie WA, US
Fei Dai - Seattle WA, US
George Joy - Kirkland WA, US

Microsoft Corporation - Redmond WA

G06F 17/30
G06F 15/16

707652, 707E17007, 707E17032, 709219

One or more techniques and/or systems are disclosed herein for backing up in-memory working store data. A first server in a plurality of connected servers detects a data change for a key-value pair the distributed in-memory working store. The first server determines a backup location for storing a copy of the key-value pair, which is comprised on a backup location server from the plurality of connected servers, by using a key from the key-value pair to identify the backup location server, and determine if the backup location server is available to store the backup copy. The first server sends the backup copy to the backup location server without prior permission from the backup location server and without subsequent feedback from the backup location server concerning the sending of the backup copy.

2016030, Oct 13, 2016

Jun 21, 2016

15/188639

- Redmond WA, US
David J. Steeves - Seattle WA, US
Robert Alexander Sim - Bellevue WA, US
Pui-Yin Winfred Wong - Redmond WA, US
Harry Simon Katz - Bellevue WA, US
Aaron Small - Seattle WA, US
Dana Scott Kaufman - Redmond WA, US
Adrian Kreuziger - Seattle WA, US
Mark A. Nikiel - North Bend WA, US
Laurentiu Bogdan Cristofor - Redmond WA, US
Alexa Lynn Keizur - Redmond WA, US
Collin Tibbetts - Seattle WA, US
Charles Hayden - Seattle WA, US

G06F 21/55
G06N 99/00

One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.

2015033, Nov 26, 2015

May 21, 2014

14/283996

- Redmond WA, US
David J. Steeves - Seattle WA, US
Robert Alexander Sim - Bellevue WA, US
Pui-Yin Winfred Wong - Redmond WA, US
Harry Simon Katz - Bellevue WA, US
Aaron Small - Seattle WA, US
Dana Scott Kaufman - Redmond WA, US
Adrian Kreuziger - Seattle WA, US
Mark A. Nikiel - North Bend WA, US
Laurentiu Bogdan Cristofor - Redmond WA, US
Alexa Lynn Keizur - Redmond WA, US
Collin Tibbetts - Seattle WA, US
Charles Hayden - Seattle WA, US

G06F 21/55
G06N 99/00

One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.