---
title: Create and train a solution definition for Vulnerability Response
description: Create and train a solution definition model for Vulnerability Response by using Predictive Intelligence. You can use this model to predict the assignment group for a vulnerable item \(VI\) or remediation task \(RT\) based on existing data.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/australia/security-management/vulnerability-response/ml-train-sol-definition.html
release: australia
product: Vulnerability Response
classification: vulnerability-response
topic_type: task
last_updated: "2026-03-12"
reading_time_minutes: 1
breadcrumb: [Install Vulnerability Assignment Recommendations for Vulnerability Response, Additional Vulnerability Response setup and configuration tasks, Vulnerability Response implementation, Vulnerability Response, Unified Security Exposure Management, Security Operations]
---

# Create and train a solution definition for Vulnerability Response

Create and train a solution definition model for Vulnerability Response by using Predictive Intelligence. You can use this model to predict the assignment group for a vulnerable item \(VI\) or remediation task \(RT\) based on existing data.

## Before you begin

Role required: sn\_vul.vulnerability\_admin

## Procedure

1.  Navigate to **All** > **Predictive Intelligence** > **Classification** > **Solution Definitions**.

2.  On the Classification Definitions form, click **Vulnerable Item Assignment**.

    This is the default solution definition.

    **Note:**

    -   The default Training Frequency is 30 days. This means that every 30 days, the model retrains automatically using the VI dataset that matches the configured filter condition.
    -   Fields from the Vulnerable Item table can be used for training. The default solution definition trains on two VI fields: **Vulnerability.Summary** and **Configuration item.Name**. You can customize the fields used for training, depending on which fields you find helpful for predicting vulnerability ownership in your organization.
3.  To create and train the classification solution, see [Create and train a classification solution](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/intelligent-experiences/create-solution-definition.md).

    **Note:** You can also create and train a similarity or a clustering solution. For more information, see:

    -   [Create and train a similarity solution](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/intelligent-experiences/create-similarity-solution.md).
    -   [Create and train a clustering solution](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/intelligent-experiences/create-clustering-solution.md).
4.  Click **Update & Retrain**.

    **Note:** To configure advanced settings for ML solutions, see [Configuring advanced settings for your ML solutions](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/intelligent-experiences/configuring-advanced-settings-ml-solutions.md).