Abstract: Techniques are provided for visualizing user access data and for configuring and enforcing location-based access policies.

Abstract: Techniques are provided for policy-based completion of risk assessments. One method comprises obtaining, from a risk assessment creator, a risk assessment comprising a question and a corresponding risk assessment completion policy for the question, wherein the question is processed by a risk assessment completion processing system in accordance with the corresponding risk assessment completion policy and the corresponding risk assessment completion policy comprises a trigger and one or more corresponding actions to perform when the trigger is satisfied; monitoring, by the risk assessment completion processing system, one or more responses from a risk assessment responder to the at least one question; and performing the one or more corresponding actions when the is detected. For multiple questions, the corresponding risk assessment completion policy may prioritize the multiple questions. For multiple triggers, the corresponding actions may be performed when any one of the multiple triggers is satisfied.

Abstract: Techniques are provided for automatically assigning tasks of a collaborative project, such as questions within a risk assessment, to users. One method comprises obtaining a description of multiple tasks of a collaborative project; obtaining a first vector representation of a context of at least one of the tasks; obtaining a second vector representation of a context of at least one user; determining a similarity between one or more first vector representations and one or more second vector representations using one or more similarity criteria. The first and second vector representations may be obtained using natural language processing techniques, word embeddings that translate words into at least one vector, term frequency-inverse document frequency vectorization techniques, and/or a bag-of-words model.

Abstract: Methods, apparatus, and processor-readable storage media for machine learning risk assessment utilizing calendar data are provided herein. An example computer-implemented method includes processing historical calendar data attributed to users on a network; generating, based on the processed historical calendar data and historical user activity data associated with the network, a machine learning user activity model; processing input data, wherein the input data comprise additional user activity data associated with the network attributed to one of the users and additional calendar data temporally related to the additional user activity data; generating a risk assessment output for the user by applying the machine learning user activity model to the processed input data; and providing the risk assessment output to one or more risk management entities within the network for execution of one or more automated actions based on the risk assessment output.

Abstract: Methods, apparatus, and processor-readable storage media for machine learning risk assessment utilizing calendar data are provided herein. An example computer-implemented method includes processing historical calendar data attributed to users on a network; generating, based on the processed historical calendar data and historical user activity data associated with the network, a machine learning user activity model; processing input data, wherein the input data comprise additional user activity data associated with the network attributed to one of the users and additional calendar data temporally related to the additional user activity data; generating a risk assessment output for the user by applying the machine learning user activity model to the processed input data; and providing the risk assessment output to one or more risk management entities within the network for execution of one or more automated actions based on the risk assessment output.

Abstract: Techniques are provided for visualizing user access data and for configuring and enforcing location-based access policies.