Abstract: In one embodiment, a user authentication server may use geo-location tracking to determine whether to present an enhanced identity challenge. A communication interface 180 may receive a user login attempt by a user and a current location of the user login attempt. A data storage 150 may store a user location profile of the user. A processor 120 may execute a comparison of the current location to the user location profile. The communication interface 180 may present the user with an enhanced identity challenge before allowing user access based on the comparison.

Abstract: In one embodiment, a user authentication server may use geo-location tracking to determine whether to present an enhanced identity challenge. A communication interface 180 may receive a user login attempt by a user and a current location of the user login attempt. A data storage 150 may store a user location profile of the user. A processor 120 may execute a comparison of the current location to the user location profile. The communication interface 180 may present the user with an enhanced identity challenge before allowing user access based on the comparison.

Abstract: In one embodiment, a user authentication server may use geo-location tracking to determine whether to present an enhanced identity challenge. A communication interface 180 may receive a user login attempt by a user and a current location of the user login attempt. A data storage 150 may store a user location profile of the user. A processor 120 may execute a comparison of the current location to the user location profile. The communication interface 180 may present the user with an enhanced identity challenge before allowing user access based on the comparison.

Abstract: In one embodiment, a user authentication server may use geo-location tracking to determine whether to present an enhanced identity challenge. A communication interface 180 may receive a user login attempt by a user and a current location of the user login attempt. A data storage 150 may store a user location profile of the user. A processor 120 may execute a comparison of the current location to the user location profile. The communication interface 180 may present the user with an enhanced identity challenge before allowing user access based on the comparison.

Abstract: In one embodiment, a user authentication server may use geo-location tracking to determine whether to present an enhanced identity challenge. A communication interface 180 may receive a user login attempt by a user and a current location of the user login attempt. A data storage 150 may store a user location profile of the user. A processor 120 may execute a comparison of the current location to the user location profile. The communication interface 180 may present the user with an enhanced identity challenge before allowing user access based on the comparison.

Abstract: In one embodiment, a user authentication server may use geo-location tracking to determine whether to present an enhanced identity challenge. A communication interface 180 may receive a user login attempt by a user and a current location of the user login attempt. A data storage 150 may store a user location profile of the user. A processor 120 may execute a comparison of the current location to the user location profile. The communication interface 180 may present the user with an enhanced identity challenge before allowing user access based on the comparison.

Abstract: 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.

Abstract: In one embodiment, a user authentication server may use geo-location tracking to determine whether to present an enhanced identity challenge. A communication interface 180 may receive a user login attempt by a user and a current location of the user login attempt. A data storage 150 may store a user location profile of the user. A processor 120 may execute a comparison of the current location to the user location profile. The communication interface 180 may present the user with an enhanced identity challenge before allowing user access based on the comparison.

Abstract: 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.

Abstract: 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.

Abstract: In one embodiment, a cloud service interface 112 or a device interface 124 may filter messages in a message synchronization between a message service account and a cloud service account. A cloud service interface 112 or a device interface 124 may associate a message service account 114 on a user messaging device 110 with a cloud service account 122. The cloud service interface 112 or a device interface 124 may execute a message synchronization between the cloud service account 122 and the message service account 114. The cloud service interface 112 or a device interface 124 may apply a message filter to the message synchronization.

Abstract: In one embodiment, a user authentication server may use geo-location tracking to determine whether to present an enhanced identity challenge. A communication interface 180 may receive a user login attempt by a user and a current location of the user login attempt. A data storage 150 may store a user location profile of the user. A processor 120 may execute a comparison of the current location to the user location profile. The communication interface 180 may present the user with an enhanced identity challenge before allowing user access based on the comparison.

Abstract: 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.

Abstract: In one embodiment, a user authentication server may use geo-location tracking to determine whether to present an enhanced identity challenge. A communication interface 180 may receive a user login attempt by a user and a current location of the user login attempt. A data storage 150 may store a user location profile of the user. A processor 120 may execute a comparison of the current location to the user location profile. The communication interface 180 may present the user with an enhanced identity challenge before allowing user access based on the comparison.

Abstract: In one embodiment, a cloud service interface 112 or a device interface 124 may filter messages in a message synchronization between a message service account and a cloud service account. A cloud service interface 112 or a device interface 124 may associate a message service account 114 on a user messaging device 110 with a cloud service account 122. The cloud service interface 112 or a device interface 124 may execute a message synchronization between the cloud service account 122 and the message service account 114. The cloud service interface 112 or a device interface 124 may apply a message filter to the message synchronization.

Abstract: In one embodiment, a user authentication server may use geo-location tracking to determine whether to present an enhanced identity challenge. A communication interface 180 may receive a user login attempt by a user and a current location of the user login attempt. A data storage 150 may store a user location profile of the user. A processor 120 may execute a comparison of the current location to the user location profile. The communication interface 180 may present the user with an enhanced identity challenge before allowing user access based on the comparison.

Abstract: Techniques to install an application module and a temporary certificate are described. In an implementation, an application module is installed on a client device. When online access is available, a temporary certificate is obtained anonymously from a service provider to enable one or more online components of the application module for a predetermined amount of time. An input may also be received to communicate credentials of the user to obtain a permanent certification.