Abstract: A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.

Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.

Abstract: A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.

Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.

Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.

Abstract: A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.

Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.

Abstract: Embodiments of the disclosure are directed toward a latent risk assessment user interface, including generating one or more curves that indicate expected future losses due to one or more agents. Embodiments of the disclosure can visualize such losses by mapping estimated litigation losses over time in a loss-time curve and/or generating an exceedance probability curve that indicates total losses at various probabilities. Further, the latent risk assessment user interface can allow a user to select multiple agents and/or multiple companies for aggregation/comparison in a single user interface. Such a user interface can be useful for an insurance company or reinsurer with a portfolio of many companies across diverse industries that utilize the same agents. For example, the latent risk assessment user interface can display estimated future litigation losses over time due to use of BPA and carbon nanotubes for a portfolio of multiple companies, displayed in a single aggregated visualization.

Abstract: Embodiments of the disclosure are directed toward a latent risk assessment user interface, including generating one or more curves that indicate expected future losses due to one or more agents. Embodiments of the disclosure can visualize such losses by mapping estimated litigation losses over time in a loss-time curve and/or generating an exceedance probability curve that indicates total losses at various probabilities. Further, the latent risk assessment user interface can allow a user to select multiple agents and/or multiple companies for aggregation/comparison in a single user interface. Such a user interface can be useful for an insurance company or reinsurer with a portfolio of many companies across diverse industries that utilize the same agents. For example, the latent risk assessment user interface can display estimated future litigation losses over time due to use of BPA and carbon nanotubes for a portfolio of multiple companies, displayed in a single aggregated visualization.