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    Home Orlando Security Incident Management Security Operations Vulnerability Response Understanding the Vulnerability Response application Machine Learning solutions for Vulnerability Response

    Machine Learning solutions for Vulnerability Response

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    Machine Learning solutions for Vulnerability Response

    Vulnerability Assignment Recommendations uses ServiceNow® Predictive Intelligence and machine learning to recommend assignment groups for vulnerable items (VIs) and vulnerability groups (VGs). You can reduce the time that you spend on identifying the owners for unassigned or incorrectly assigned vulnerability findings. Also, you can see a system-generated confidence score that evaluates if the recommended assignment group is suited to resolve the vulnerability.

    The Predictive Intelligence capabilities are used in Vulnerability Response to provide better work experiences by creating and training a solution definition model that can predict the assignment group based on existing data.

    For more information, see Predictive Intelligence.

    Vulnerability Assignment Recommendations

    With the Vulnerability Assignment Recommendations application (com.snc.vulnerability.recom), the system can assign recommendations in Vulnerability Response using ServiceNow Predictive Intelligence. This plugin requires:
    • Vulnerability Response (com.snc.vulnerability)
    • Predictive Intelligence (com.glide.platform_ml)

    For more information, see Predictive Intelligence.

    Confidence scores

    Use the Vulnerability Assignment Recommendations application to generate the confidence score that reports the confidence level of the recommended assignment groups for the selected VGs or VIs. In other words, the confidence score evaluates whether the system is confident that the recommended assignment group is suited to resolve the vulnerability. Up to 10 recommendations appear. These recommendations are based on the highest probability for successful assignments. The first recommendation in the list means that the system has the highest confidence that it is the correct assignment group.

    For example, on a scale of 0-100, for each assignment group, the confidence score suggests the probability of a VI or VG belonging to that particular group.

    Related concepts
    • Vulnerability Response personas and granular roles
    • Vulnerability Response assignment rules overview
    • Vulnerability Response groups and group rules overview
    • Vulnerability groups and group rules overview (Prior to v10.0)
    • CI Lookup rules for identifying configuration items from Vulnerability Response third-party vulnerability integrations
    • Creating CIs for Vulnerability Response using the Identification and Reconciliation engine
    • Discovered Items overview
    • Vulnerability Response group and vulnerable item states
    • Vulnerability Response calculators and vulnerability calculator rules
    • Vulnerability Response vulnerable item detections from third-party integrations
    • Vulnerability Response remediation target rules
    • Vulnerability Solution Management
    • Exception Management overview
    • Exception rules overview
    • False Positive overview
    • Change management for Vulnerability Response
    • Software exposure assessment using ITAM Software Asset Management (SAM)
    • Domain separation and Vulnerability Response
    Related topics
    • Predictive Intelligence
    • Create and train a classification solution
    • Create and train a similarity solution
    • Create and train a clustering solution
    • Configuring advanced settings for your ML solutions

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    Release version
    Choose your release version

      Machine Learning solutions for Vulnerability Response

      • Save as PDF Selected topic Topic & subtopics All topics in contents
      • Unsubscribe Log in to subscribe to topics and get notified when content changes.
      • Share this page

      Machine Learning solutions for Vulnerability Response

      Vulnerability Assignment Recommendations uses ServiceNow® Predictive Intelligence and machine learning to recommend assignment groups for vulnerable items (VIs) and vulnerability groups (VGs). You can reduce the time that you spend on identifying the owners for unassigned or incorrectly assigned vulnerability findings. Also, you can see a system-generated confidence score that evaluates if the recommended assignment group is suited to resolve the vulnerability.

      The Predictive Intelligence capabilities are used in Vulnerability Response to provide better work experiences by creating and training a solution definition model that can predict the assignment group based on existing data.

      For more information, see Predictive Intelligence.

      Vulnerability Assignment Recommendations

      With the Vulnerability Assignment Recommendations application (com.snc.vulnerability.recom), the system can assign recommendations in Vulnerability Response using ServiceNow Predictive Intelligence. This plugin requires:
      • Vulnerability Response (com.snc.vulnerability)
      • Predictive Intelligence (com.glide.platform_ml)

      For more information, see Predictive Intelligence.

      Confidence scores

      Use the Vulnerability Assignment Recommendations application to generate the confidence score that reports the confidence level of the recommended assignment groups for the selected VGs or VIs. In other words, the confidence score evaluates whether the system is confident that the recommended assignment group is suited to resolve the vulnerability. Up to 10 recommendations appear. These recommendations are based on the highest probability for successful assignments. The first recommendation in the list means that the system has the highest confidence that it is the correct assignment group.

      For example, on a scale of 0-100, for each assignment group, the confidence score suggests the probability of a VI or VG belonging to that particular group.

      Related concepts
      • Vulnerability Response personas and granular roles
      • Vulnerability Response assignment rules overview
      • Vulnerability Response groups and group rules overview
      • Vulnerability groups and group rules overview (Prior to v10.0)
      • CI Lookup rules for identifying configuration items from Vulnerability Response third-party vulnerability integrations
      • Creating CIs for Vulnerability Response using the Identification and Reconciliation engine
      • Discovered Items overview
      • Vulnerability Response group and vulnerable item states
      • Vulnerability Response calculators and vulnerability calculator rules
      • Vulnerability Response vulnerable item detections from third-party integrations
      • Vulnerability Response remediation target rules
      • Vulnerability Solution Management
      • Exception Management overview
      • Exception rules overview
      • False Positive overview
      • Change management for Vulnerability Response
      • Software exposure assessment using ITAM Software Asset Management (SAM)
      • Domain separation and Vulnerability Response
      Related topics
      • Predictive Intelligence
      • Create and train a classification solution
      • Create and train a similarity solution
      • Create and train a clustering solution
      • Configuring advanced settings for your ML solutions

      Tags:

      Feedback

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