SHIFT-LEFT SECURITY RISK ANALYSIS

    公开(公告)号:US20220303302A1

    公开(公告)日:2022-09-22

    申请号:US17249997

    申请日:2021-03-22

    Abstract: A method, a computer system, and a computer program product for security risk analysis is provided. Embodiments of the present invention may include collecting operational data. Embodiments of the present invention may include building pipelines. Embodiments of the present invention may include localizing security issues using the operational data on an unsupervised model. Embodiments of the present invention may include constructing a semantic graph using shift-left data. Embodiments of the present invention may include constructing a mapping between the operational data and the shift-left data. Embodiments of the present invention may include clustering collected datasets. Embodiments of the present invention may include creating an active learning cycle using ground truth.

    AUTOMATED SCRIPT REVIEW UTILIZING CROWDSOURCED INPUTS

    公开(公告)号:US20210019120A1

    公开(公告)日:2021-01-21

    申请号:US16515358

    申请日:2019-07-18

    Abstract: Methods, systems and computer program products for providing automated script review utilizing crowdsourced inputs are provided. Aspects include receiving a new script including a script text and a script description. Aspects include comparing the new script to each of a plurality of previously classified scripts to determine a degree of similarity. Each of the previously classified scripts and the new script have an associated set of attributes. Responsive to determining that the degree of similarity is below a predetermined threshold, aspects include mapping the new script to a crowdsourcing platform to identify a similar script. Aspects also include receiving information indicative of one or more features from the crowdsourcing platform. Responsive to inputting the one or more features into an acceptance model, aspects include generating an acceptance recommendation associated with the new script.

    COGNITIVE ALARM CLOCK
    7.
    发明申请

    公开(公告)号:US20200038620A1

    公开(公告)日:2020-02-06

    申请号:US16050672

    申请日:2018-07-31

    Abstract: Systems and methods to facilitate sleep are described. In on example, a cognitive alarm clock system for children learns sleep patterns and activities towards recommending sleep schedules and teaching independence. The system may detect the cognitive state of a child based on voice or cry pattern recognition, a time of day or night, scheduled activities, and social context, among other factors. The system may initiate actions to facilitate sleep in response to the cognitive factors. For example, the system may adjust lighting or push back a wakeup time. In another example, the system may use the cognitive analysis to teach children good sleeping habits by making recommendations to facilitate a good night's rest and encourage independence.

    SECURITY VULNERABILITY MANAGEMENT

    公开(公告)号:US20220382876A1

    公开(公告)日:2022-12-01

    申请号:US17329448

    申请日:2021-05-25

    Abstract: A vulnerability management method includes analyzing a system environment to uncover one or more vulnerabilities. The method includes subsequently identifying one or more system weaknesses corresponding to the one or more uncovered vulnerabilities and analyzing a set of historical data to identify similar past vulnerabilities. The method further includes analyzing available information to extract one or more impacts of the identified similar past vulnerabilities and determining one or more impacts to the present system environment that would correspond to the extracted one or more impacts of the identified similar past vulnerabilities. The method additionally includes recommending one or more actions to remediate the uncovered vulnerabilities.

    COGNITIVE ALARM CLOCK
    10.
    发明申请

    公开(公告)号:US20200038621A1

    公开(公告)日:2020-02-06

    申请号:US16050804

    申请日:2018-07-31

    Abstract: Systems and methods to facilitate sleep are described. In on example, a cognitive alarm clock system for children learns sleep patterns and activities towards recommending sleep schedules and teaching independence. The system may detect the cognitive state of a child based on voice or cry pattern recognition, a time of day or night, scheduled activities, and social context, among other factors. The system may initiate actions to facilitate sleep in response to the cognitive factors. For example, the system may adjust lighting or push back a wakeup time. In another example, the system may use the cognitive analysis to teach children good sleeping habits by making recommendations to facilitate a good night's rest and encourage independence.

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