DETERMINING A RISK INDICATOR BASED ON CLASSIFYING DOCUMENTS USING A CLASSIFIER

    公开(公告)号:US20170161503A1

    公开(公告)日:2017-06-08

    申请号:US14956464

    申请日:2015-12-02

    Abstract: Systems and techniques for determining and displaying risk indicators are described. A set of event logs occurring in a time interval and associated with a user account retrieving may be retrieved from an event log database. For individual event logs in the set of event logs, a context may be determined. A resource associated with the individual log may have an associated classification. An activity risk associated with the individual event log may be determined based at least in part on the first context and, if applicable, on the associated classification. For individual event logs in the set of event logs, a risk indicator may be determined based at least in part on the activity risk. In some cases, a cumulative risk indicator may be determined for the particular time interval based on the risk indicators associated with the individual event logs.

    FOLDERS THAT EMPLOY DYNAMIC USER TRAINING RULES TO ORGANIZE CONTENT

    公开(公告)号:US20170099247A1

    公开(公告)日:2017-04-06

    申请号:US14874587

    申请日:2015-10-05

    CPC classification number: H04L51/22

    Abstract: Dynamic user training rules can be employed to organize content within a folder. Each folder can be associated with a dynamic rule that defines a number of attribute and weighting factor associations and a folder threshold. Each attribute and weighting factor association can identify an attribute that is common among the contents of the smart folder and associate a weighting factor with the common attribute. Whenever a user manually moves content into or out of the smart folder, the attribute and weighting factor associations and possibly the folder threshold can be updated accordingly, such as by adjusting a value of one or more weighting factors to better reflect how common they are after the content has been manually moved into or out of the folder. In this way, the dynamic rule is automatically updated in response to the user's interaction with the smart folder.

    COMBINING A SET OF RISK FACTORS TO PRODUCE A TOTAL RISK SCORE WITHIN A RISK ENGINE

    公开(公告)号:US20170093863A1

    公开(公告)日:2017-03-30

    申请号:US14870470

    申请日:2015-09-30

    CPC classification number: H04L63/10 H04L63/1433 H04L63/20

    Abstract: A risk engine can be configured to produce a total risk score by combining a set of risk factors. A risk policy can define a percentage that is to be assigned to each risk factor that is present in a request to access a web-accessible application. The percentage can represent the amount of risk that can be attributed to the access request when the risk factor is present in the request. The risk policy can also define which mitigating factors apply to each risk factor. Each mitigating factor can also be assigned a percentage by which the mitigating factor will reduce the risk factor when the mitigating factor and risk factor are present in the access request. The risk factors can then be combined to produce the total risk score. The total risk score can be generated as a percentage between 0% and 100%.

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