Create New DataFlowML Users
To create DataFlowML users, open another browser window and connect to the Security Admin Console for the Security realm using the admin/Security/console/#/realms/Security page on the Security server. If you installed Security on localhost the link will look like:
https://<FQDN-hostname>:9043/auth/admin/Security/console/#/realms/Security
The link will take you to the login page.
Security Admin Login
![](/content/dam/dita/en/factorytalk-analytics-security-provider/4-00-00/admin-guide-02/admin-user-management/login-forgotpassword.png/_jcr_content/renditions/original)
Login as the security-admin user. This will take you to the same Security Admin Console that our customers will use.
Security Admin Console
![](/content/dam/dita/en/factorytalk-analytics-security-provider/4-00-00/admin-guide-02/admin-user-management/secu-admin-console.png/_jcr_content/renditions/original)
Use the navigation bar on the left to go to Manage/Users and click [Add User].
Add User
![](/content/dam/dita/en/factorytalk-analytics-security-provider/4-00-00/admin-guide-02/admin-user-management/image003.png/_jcr_content/renditions/original)
Add the Superuser account.
NOTE:
The Admin user for DataFlowML must be called Superuser.
Add DataFlowML Superuser
![](/content/dam/dita/en/factorytalk-analytics-security-provider/4-00-00/admin-guide-02/admin-user-management/image027.png/_jcr_content/renditions/original)
Click [Save] to save the Superuser.
Save DataFlowML Superuser
![](/content/dam/dita/en/factorytalk-analytics-security-provider/4-00-00/admin-guide-02/admin-user-management/image028.png/_jcr_content/renditions/original)
Go to the Credentials tab and give the Superuser a password. Then go to the Groups tab and add the Superuser to the DataFlowML-Admin Group.
Groups
![](/content/dam/dita/en/factorytalk-analytics-security-provider/4-00-00/admin-guide-02/admin-user-management/image029.png/_jcr_content/renditions/original)
Select the appropriate Group for the User and click [Join].
The Superuser account is now ready to use with DataFlowML.
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