[{"data":1,"prerenderedAt":815},["ShallowReactive",2],{"/en-us/blog/how-to-gitlab-single-sign-on-with-saml-scim-and-azures-entra-id":3,"navigation-en-us":41,"banner-en-us":451,"footer-en-us":461,"blog-post-authors-en-us-Rob Jackson":700,"blog-related-posts-en-us-how-to-gitlab-single-sign-on-with-saml-scim-and-azures-entra-id":714,"blog-promotions-en-us":753,"next-steps-en-us":805},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":27,"isFeatured":12,"meta":28,"navigation":29,"path":30,"publishedDate":20,"seo":31,"stem":35,"tagSlugs":36,"__hash__":40},"blogPosts/en-us/blog/how-to-gitlab-single-sign-on-with-saml-scim-and-azures-entra-id.yml","How To Gitlab Single Sign On With Saml Scim And Azures Entra Id",[7],"rob-jackson",null,"security",{"slug":11,"featured":12,"template":13},"how-to-gitlab-single-sign-on-with-saml-scim-and-azures-entra-id",false,"BlogPost",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"How-to: GitLab Single Sign-on with SAML, SCIM, and Azure’s Entra ID","Follow this detailed walk-through of the configuration steps required to configure GitLab Single Sign-on, using Microsoft Azure’s Entra ID as the identity provider.",[18],"Rob Jackson","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098047/Blog/Hero%20Images/Blog/Hero%20Images/AdobeStock_1097303277_6gTk7M1DNx0tFuovupVFB1_1750098046895.jpg","2025-01-23","As organizations increase in size, it becomes increasingly difficult and critical to ensure that the right team members have access to the right groups and projects within their development platform. GitLab offers some powerful methods to manage user access, especially now with [custom roles](https://about.gitlab.com/blog/how-to-tailor-gitlab-access-with-custom-roles/), but performing this at scale through a point-and-click user interface can be frustrating. However, all is not lost. You can use Security Assertion Markup\nLanguage (SAML) and System for Cross-domain Identity Management (SCIM) as a solution. (There are moments where I’m grateful for acronyms.) \n\nI was researching this topic for a particular customer, and walking through the GitLab documentation on the capabilities, but I never felt like I truly understood the integration. As is often the case, especially when dealing with integrating components, the knowledge from experience far outweighs that gained from reading or watching. In that light, I wanted to share my steps along this path and invite you all to join me. All you need is a free trial of Microsoft Azure Entra ID and GitLab Premium with a top-level group on GitLab.com.  \n\n**Note:** This exercise produces a working integration, however, for production environments there may be necessary deviations. For example, the user account email for the identity provider (Entra ID in this case) will likely not match your GitLab account email. \n\n## Creating the application in Entra ID\n\nFirst, go to the Entra ID admin center. Within the **Applications** area, select **Enterprise Applications**. We’re going to create a new application, and then create our own application.\n\n![Entra ID application creation flow](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image13_aHR0cHM6_1750098073325.png)\n\n\u003Ccenter>\u003Ci>Figure 1: Entra ID application creation flow\u003C/i>\u003C/center>\u003Cbr>\n\nWith our new application created, we can start configuring the single sign-on (SSO) parameters for our application. For this task, you may want to have side-by-side browser windows. One window on your Entra ID application, and another window on the SAML settings for your GitLab group. Those settings are located under **Settings**, then SAML SSO on the left side of your GitLab window, as shown in Figure 2. If you don’t see this option, you aren’t in the top-level group, don’t have permission to configure SAML, or don’t have GitLab Premium enabled for that group.\n\n![GitLab SAML configuration](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image7_aHR0cHM6_1750098073326.png)\n\n\u003Ccenter>\u003Ci>Figure 2: GitLab SAML configuration\u003C/i>\u003C/center>\u003Cbr>\n\nWithin your Entra ID interface, select **Single sign-on** and click the SAML card.\n\n![Entra ID SAML configuration](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image24_aHR0cHM6_1750098073328.png)\n\n\u003Ccenter>\u003Ci>Figure 3: Entra ID SAML configuration\u003C/i>\u003C/center>\u003Cbr>\n\nWith the side-by-side view, the SAML configuration settings are on the left and the GitLab SSO settings on the right. \n\n![Side-by-side view of Entra ID and\nGitLab](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image16_aHR0cHM6_1750098073330.png)\n\n\u003Ccenter>\u003Ci>Figure 4: Side-by-side view of Entra ID and\nGitLab\u003C/i>\u003C/center>\u003Cbr>\n\nNow we can start copying and pasting parameters. Within the Entra ID interface, select **Edit** within the “Basic SAML Configuration” block. The parameter sources and destination are identified in the following table.\n\n| Source (GitLab) | Destination (Entra ID) |\n| --- | --- |\n| Identifier | Identifier (Entity ID) |\n| Assertion consumer service URL | Reply URL (Assertion Consumer Service URL) |\n| GitLab single sign-on URL | Sign on URL (Optional) |\n\n\u003Cbr>\n\nOnce completed, your side-by-side view should appear similar to the following (noting the URLs are unique to your environment).\u003Cbr>\n\n![Completed basic SAML SSO configuration](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image9_aHR0cHM6_1750098073332.png)\n\n\u003Ccenter>\u003Ci>Figure 5: Completed basic SAML SSO configuration\u003C/i>\u003C/center>\u003Cbr>\n\nClick **Save** within the Entra ID “Basic SML Configuration” window to save your hard work thus far. Note: You may need to click on the “X” in the upper right of the “Basic SAML Configuration” window if it doesn’t close automatically. \n\nAfter this window closes, you may get a popup to test single sign-on with your application. Select **No, I’ll test later**, because we still have more work to do (there is always more work to do). \n\n## Configuring attributes and claims\n\nWithin the Entra ID user interface, look for the section for “Attributes and\nClaims,” and click the **Edit** pencil icon. The first thing we want to do is modify the Unique User identifier (Name ID) value, so click on that row and set the Source attribute to **user.objectid**. Additionally, the Name identifier format must be updated, and set to **Persistent**.\n\n![Configuring attributes and claims](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image14_aHR0cHM6_1750098073333.png)\n\n\u003Ccenter>\u003Ci>Figure 6: Configuring attributes and claims\u003C/i>\u003C/center>\u003Cbr>\n\nSave that claim configuration. Now we have additional claims to configure, but there are only three that we need here. So, feel free to go wild and delete those default four items under **Additional claims**, or you can edit the existing ones to match the table below. Note that these values (specifically, the Name) are case sensitive. \n\n\u003Cbr>\n\n| Name | Namespace | Source Attribute |\n| --- | --- | --- |\n| emailaddress | http://schemas.microsoft.com/ws/2008/06/identity/claims | user.otheremail |\n| NameID | http://schemas.microsoft.com/ws/2008/06/identity/claims | user.objectid |\n\n\u003Cbr>\n\nThe resulting claims configuration should appear as follows. Note the use of\n**otheremail** for the “emailaddress” attribute. This was necessary for me as my primary email addresses within Entra ID are not the addresses used on\nGitLab.com. If you recall, when I set up my “user,\" I modified the contact information to include my gitlab.com email address as one of my “Other emails.” \n\n![Configuring the claims](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image21_aHR0cHM6_1750098073335.png)  \n\n\u003Ccenter>\u003Ci>Figure 7: Configuring the claims\u003C/i>\u003C/center>\u003Cbr>\n\nWith your attributes configured, under the Advance settings, enable\n**Include attribute name format** setting.\n\n![Advanced claims configuration](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image8_aHR0cHM6_1750098073336.png)\n\n\u003Ccenter>\u003Ci>Figure 8: Advanced claims configuration\u003C/i>\u003C/center>\u003Cbr>\n\nYour \"Attributes and Claims\" window should now look similar to Figure 9 below.\n\n![Configured attributes and claims](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image18_aHR0cHM6_1750098073337.png)\n\n\u003Ccenter>\u003Ci>Figure 9: Configured attributes and claims\u003C/i>\u003C/center>\u003Cbr>\n\nIf you’re happy, or at least relatively content, with your configuration, click the “X” in the top right corner of the \"Attributes and Claims\" window to close it. \n\n## Configuring and assigning users\n\nNow that we have our application configured, we need to ensure that our users have been assigned to that application. I'll assume you’re working with a test instance that does not have the same email address as what is configured within your GitLab.com namespace. \n\nSo let’s go to the “Users and groups” within the Entra ID user interface for your configured application.\n\n![Managing application users and groups](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image17_aHR0cHM6_1750098073338.png)\n\n\u003Ccenter>\u003Ci>Figure 10: Managing application users and groups\u003C/i>\u003C/center>\u003Cbr>\n\nSelect **Add user/group**, and under the “Users and groups” where it says “None Selected,” click that text. Now you can select the user(s) to add to your application. These are the users that will be permitted to log into\nGitLab, authenticating themselves through Entra ID.\n\n![User selection](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image23_aHR0cHM6_1750098073339.png)\n\n\u003Ccenter>\u003Ci>Figure 11: User selection\u003C/i>\u003C/center>\u003Cbr>\n\nOnce selected, at the bottom of that page, click **Select**, and at the bottom of the next, select **Assign**. Now you should have a user assigned to your application.\n\n![User assigned to application](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image12_aHR0cHM6_1750098073340.png)\n\n\u003Ccenter>\u003Ci>Figure 12: User assigned to application\u003C/i>\u003C/center>\u003Cbr>\n\nNext, we need to ensure that the GitLab.com email address for that user is configured correctly. By clicking on the user itself, we can modify or configure some  additional information about that user. We can see below, the User principal name, which is based on an “onmicrosoft” domain. This is not the email address I have associated with my GitLab.com account. If you recall that we set the “Email address” attribute to “otheremail,” this is where we now configure that “other” email address. \n\n![User properties](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image20_aHR0cHM6_1750098073341.png)\n\n\u003Ccenter>\u003Ci>Figure 13: User properties\u003C/i>\u003C/center>\u003Cbr>\n\nClick the option to **Edit properties** for the user, and click on the\n**Contact Information** heading. Here we can add other emails – more specifically, the email address utilized for your GitLab.com account.  \n\n![Configuration of alternate email address](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image15_aHR0cHM6_1750098073342.png)\n\n\u003Ccenter>\u003Ci>Figure 14: Configuration of alternate email address\u003C/i>\u003C/center>\u003Cbr>\n\nThat should complete the configuration parameters that we need in Entra ID, but wait, there’s more. \n\nWithin the GitLab side now, you will need to configure a couple parameters.\nFirst, you might as well enable SAML for the group as that’s kind of a key piece here. GitLab offers some additional options to disable password authentication or enforce SSO to reduce the security risks within your application, but we’ll leave those unchecked for now. Similar to the table above, we’ll need a couple things from Entra ID to configure into GitLab.\nPlease refer to the table below. \n\n\u003Cbr>\n\n| Source (Entra ID) | Destination (GitLab) |\n| --- | --- |\n| Login URL | Identity provider single sign-on URL |\n| Thumbprint | Certificate fingerprint |\n\n\u003Cbr>\n\n![GitLab SAML configuration from Entra\nID](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image25_aHR0cHM6_1750098073343.png)\n\n\u003Ccenter>\u003Ci>Figure 15: GitLab SAML configuration from Entra\nID\u003C/i>\u003C/center>\u003Cbr>\n\nLastly, you want to configure the default membership role for users logging in via SAML. Note that the access that you set for users here will cascade down to other groups and projects within your top-level group. Therefore, I would strongly recommend NOT setting this role to be “Owner.” Either “Guest” or “Minimal Access” would be acceptable options here, depending on the security posture of your organization. For more information about what these roles can and can not do, refer to the GitLab documentation on [Roles and\nPermissions](https://docs.gitlab.com/ee/user/permissions.html#roles). Now, save your work on the GitLab interface by clicking that beautiful blue\n**Save changes** button.\n\nWith your GitLab settings saved, you can now test your setup. I would encourage you to do this both through the “Verify SAML Configuration” on the\nGitLab system as well as with the Entra ID SSO \"Test\" button.\n\n## Troubleshooting SAML\n\nIn addition to the troubleshooting steps included within [GitLab documentation](https://docs.gitlab.com/ee/user/group/saml_sso/troubleshooting.html),\nI wanted to include a couple other items that I personally experienced. \n\nIf you get an error stating that the SAML reference did not contain an email address, check the Claim name for your email within the “Attributes and\nClaims” section within your Entra ID application. With GitLab 16.7, we added support for the “2008” attribute names, and at least for the email address setting, I found the default “xmlsoap” name for the email address claim to be a disappointing failure. \n\nAnother common error is “SAML Name ID and email address do not match your user account.” As you may suspect, this error is caused by a mismatch of the “NameID” and “emailaddress” attributes within the Entra ID application. This could be a misconfiguration of the “Attributes and Claims,” but it could also be that the properties of your test user don’t match your configuration. One helpful method to identify exactly what is coming through the SAML exchange is to use a SAML Tracer or SAML Message Decoder plugin with your web browser. \n\n## SCIM\n\nNow that you have SAML configured to enable users to log in via your Entra\nID application, let’s make sure that people are assigned to the proper group(s) upon login. This can be incredibly helpful at scale, where instead of manually identifying which groups the particular users belong to, GitLab can learn this information from your identity application, Entra ID in this case. \n\nBecause SCIM utilizes groups to identify group membership, we need to create a group within Entra ID and add the relevant user(s) to the group. For this we’ll need the main administration menu for Entra ID. \n\n![Entra ID Group configuration](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image19_aHR0cHM6_1750098073344.png)\n\n\u003Ccenter>\u003Ci>Figure 16: Entra ID Group configuration\u003C/i>\u003C/center>\u003Cbr>\n\nWe’re going to create a new group and assign our user(s) to that group. So click **New group** and configure a new group, which only requires you to configure a “Group name.” I used the default group type of “Security.” Leave the “Membership type” as “Assigned.” From this window, we can also assign the members.\n\n![Creating a New Entra ID\nGroup](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image2_aHR0cHM6_1750098073345.png)\n\n\u003Ccenter>\u003Ci>Figure 17: Creating a New Entra ID Group\u003C/i>\u003C/center>\u003Cbr>\n\nOnce you’ve added the member(s), click **Create** in the bottom of that window. With your group created, and the user(s) assigned to the group, we can configure SCIM.\n\nImmediately below the SAML configuration section within the GitLab UI, you’ll see the “SCIM Token” area. Here you can generate a new token, and copy the endpoint URL, both of which will be useful for the next steps. Note that if you forget or already have a SCIM token, it can be reset. \n\n![SCIM token and endpoint within\nGitLab](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image10_aHR0cHM6_1750098073345.png)\n\n\u003Ccenter>\u003Ci>Figure 18: SCIM token and endpoint within GitLab\u003C/i>\u003C/center>\u003Cbr>\n\nWith this information saved, return to your Entra ID application configuration. Within the left side menu, you’ll find the following: \n\n![Provisioning SCIM within Entra\nID](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image3_aHR0cHM6_1750098073346.png)\n\n\u003Ccenter>\u003Ci>Figure 19: Provisioning SCIM within Entra ID\u003C/i>\u003C/center>\u003Cbr>\n\nWithin the \"Provisioning\" section, click on **New Configuration**, which opens a new page where that token and URL from GitLab will be used. \n\n![New provisioning configuration](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image22_aHR0cHM6_1750098073348.png)\n\n\u003Ccenter>\u003Ci>Figure 20: New provisioning configuration\u003C/i>\u003C/center>\u003Cbr>\n\nFeel free to test the connection to ensure that you’ve configured the parameters properly. After testing, click on the **Create** button to establish the configuration and work on our mappings and settings. You may need to click the “X” in the top right corner of the panel to return to the overview configuration.\n\nExpand the “Mappings,” which includes two parameters; “Provision Microsoft\nEntra ID Groups” and “Provision Microsoft Entra ID Users.” SCIM group provisioning isn’t currently supported in GitLab, and although it doesn’t break the integration, keeping group provisioning enabled may cause negligible error messages. Therefore, we want to disable “Provision\nMicrosoft Entra ID Groups,” so click that entry and set the “Enabled” field to “No.” \n\n![Provisioning attribute mapping](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image4_aHR0cHM6_1750098073349.png)\n\n\u003Ccenter>\u003Ci>Figure 21: Provisioning attribute mapping\u003C/i>\u003C/center>\u003Cbr>\n\nSave that configuration and select “Provision Microsoft Entra ID Users.”\nValidate that all three \"Target Object Actions\" are enabled, and then proceed to the “Attribute Mapping” section. Delete all existing mappings available to delete (I find this easier because attributes can’t be assigned twice), and then configure the Attribute Mappings per the following table:\n\n| customappsso Attribute (Destination) | Microsoft Entra ID Attribute (Source) | Matching Precedence | Mapping Type |\n| --- | --- | --- | --- |\n| externalID | objectId | 1 | Direct |\n| active | Switch([IsSoftDeleted], , \"False\", \"True\", \"True\", \"False\") |  | Expression |\n| userName | mailNickname |  | Direct |\n| name.formatted | displayName |  | Direct |\n| Emails[type eq \"other\"].value | userPrincipalName |  | Direct |\n\n\u003Cbr>\n\n![Editing attributes](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image26_aHR0cHM6_1750098073349.png)\n\n\u003Ccenter>\u003Ci>Figure 22: Editing attributes\u003C/i>\u003C/center>\u003Cbr>\n\nAfter configuring all of the attribute mappings, the result should be similar to that found in Figure 22.\n\n![Completed attribute mapping configuration](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image5_aHR0cHM6_1750098073350.png)\n\n\u003Ccenter>\u003Ci>Figure 23: Completed attribute mapping configuration\u003C/i>\u003C/center>\u003Cbr>\n\nNote the use of the “other” email within the **customappssso** attribute.\nThis relates back to the “other” email we configured for the user back in the Entra ID user properties. In a production situation, the emails for the\nSSO account and the email address for the account within GitLab should match. \n\nWith your mapping complete (congratulations, Ptolemy), there are some advanced configuration settings necessary. Underneath the \"Attribute\nMappings,\" click the box for “Show advanced options.” Once this box is checked, a link called “Edit attribute list for customappsso” is revealed.\n\n![Advanced attribute configuration](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image6_aHR0cHM6_1750098073351.png)\n\n\u003Ccenter>\u003Ci>Figure 24: Advanced attribute configuration\u003C/i>\u003C/center>\u003Cbr>\n\nClick that link, and ensure that the Name “ID” is both “Primary Key” and “Required,” and that “externalID” is also “Required.” These attributes both refer to a unique user ID generated by Entra ID. However, although the “id” itself is required, it is not consistently provided within the API calls.\nTherefore, GitLab relies on the “externalID” to ensure the proper connection between the Entra ID and GitLab user accounts. \n\n![Required attribute list](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image1_aHR0cHM6_1750098073351.png)\n\n\u003Ccenter>\u003Ci>Figure 25: Required attribute list\u003C/i>\u003C/center>\u003Cbr>\n\nSave these settings, and then close the “Attribute Mapping” page with the “X” in the top right of the window. Return to the \"Application Provisioning\" section and click **Start provisioning**. \n\nWithin GitLab, we need to configure the association between the group we configured within Entra ID and the level of access we want those users to have within the GitLab top-level group. Note that this association can be configured on each sub-group within GitLab for more extensive provisioning, but within GitLab, permissions flow downhill. Whatever permission you set for a user at a top-level group, or sub-group, will cascade down to all projects and groups contained therein. \n\nWithin the \"Settings\" portion of the GitLab menu, select **SAML Group\nLinks**. Here is where you’ll configure the group name and determine what access level, or role, members of the Entra ID Group will have within this particular GitLab Group.\n\n![GitLab SAML Group link](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image27_aHR0cHM6_1750098073352.png)\n\n\u003Ccenter>\u003Ci>Figure 26: GitLab SAML Group link\u003C/i>\u003C/center>\u003Cbr>\n\nAs shown in Figure 26, I’ve configured my membership to The Academy such that any users within the dev-security group from Entra ID  will be granted\nDeveloper access. Note that this is a slight variation of what a typical production environment would look like. In most instances, the user account within the identity provider (Entra ID, in this case) would match the user’s corporate account email (and we wouldn’t require “other” emails). When configured properly, if the user does not already have an account on GitLab, one will be created for them tied to their SSO account. \n\n![GitLab SSO tutorial - image11](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098073/Blog/Content%20Images/Blog/Content%20Images/image11_aHR0cHM6_1750098073352.png)\n\n\u003Ccenter>\u003Ci>Figure 27: SAML Group Links configured\u003C/i>\u003C/center>\u003Cbr>\n\nNow that you’ve completed the configuration, give it a try! From another browser, preferably in private mode to ignore any cookies or other yummy artifacts, paste the link for the GitLab SSO URL found in the GitLab SAML configurations. You should be prompted to log in with your Entra ID credentials and gain the proper access to your GitLab group! \n\nCongratulations, you’ve made it! I hope you’ve learned from and appreciate the work here, and we can all rejoice in the fact that the users within the\nPlay-Dough app can now all properly authenticate, with the right permissions, to The Academy!\n\n> Don't have a GitLab account? [Sign up for a free trial\ntoday](https://about.gitlab.com/free-trial/devsecops/).\n\n## Read more\n\n- [The ultimate guide to enabling SAML and SSO on\nGitLab.com](https://about.gitlab.com/blog/the-ultimate-guide-to-enabling-saml/)\n\n- [SAML SSO for GitLab.com groups\ndocumentation](https://docs.gitlab.com/ee/user/group/saml_sso/)",[23,9,24,25,26],"tutorial","DevSecOps platform","DevSecOps","solutions 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Define criteria based on file path, directory, or vulnerability identifier (CVE, CWE), choose a dismissal reason, and let GitLab handle the rest.\n\n## Why auto-dismiss?\nAuto-dismiss vulnerability policies enable security teams to:\n- **Eliminate triage noise**: Automatically dismiss findings in test code, vendored dependencies, and generated files.\n- **Enforce decisions at scale**: Apply policies centrally to dismiss known false positives across your entire organization.\n- **Maintain audit transparency**: Every auto-dismissed finding includes a documented reason and links back to the policy that triggered it.\n- **Preserve the record**: Unlike scanner exclusions, dismissed vulnerabilities remain in your report, so you can revisit decisions if conditions change.\n\n## How auto-dismiss policies work\n\n1. **Define your policy** in a vulnerability management policy YAML file. Specify match criteria (file path, directory, or identifier) and a dismissal reason.\n\n2. **Merge and activate.** Create the policy via **Secure > Policies > New  policy > Vulnerability management policy**. Merge the MR to enable it.\n3. **Run your pipeline.** On every default-branch pipeline, matching vulnerabilities are automatically set to \"Dismissed\" with the specified reason. Up to 1,000 vulnerabilities are processed per run.\n4. **Measure the impact.** Filter your vulnerability report by status \"Dismissed\" to see exactly what was cleaned up and validate that the right findings are being handled.\n\n## Use cases with ready-to-use configurations\n\nEach example below includes a policy configuration you can copy, customize, and apply immediately.\n\n### 1. Dismiss test code vulnerabilities\n\nSAST and dependency scanners flag hardcoded credentials, insecure fixtures, and dev-only dependencies in test directories. These are not production risks.\n\n```yaml\nvulnerability_management_policy:\n  - name: \"Dismiss test code vulnerabilities\"\n    description: \"Auto-dismiss findings in test directories\"\n    enabled: true\n    rules:\n      - type: detected\n        criteria:\n          - type: file_path\n            value: \"test/**/*\"\n      - type: detected\n        criteria:\n          - type: file_path\n            value: \"tests/**/*\"\n      - type: detected\n        criteria:\n          - type: file_path\n            value: \"spec/**/*\"\n      - type: detected\n        criteria:\n          - type: directory\n            value: \"__tests__/*\"\n    actions:\n      - type: auto_dismiss\n        dismissal_reason: used_in_tests\n\n```\n\n### 2. Dismiss vendored and third-party code\n\nVulnerabilities in `vendor/`, `third_party/`, or checked-in `node_modules` are managed upstream and not actionable for your team.\n\n```yaml\nvulnerability_management_policy:\n  - name: \"Dismiss vendored dependency findings\"\n    description: \"Findings in vendored code are managed upstream\"\n    enabled: true\n    rules:\n      - type: detected\n        criteria:\n          - type: directory\n            value: \"vendor/*\"\n      - type: detected\n        criteria:\n          - type: directory\n            value: \"third_party/*\"\n      - type: detected\n        criteria:\n          - type: directory\n            value: \"vendored/*\"\n    actions:\n      - type: auto_dismiss\n        dismissal_reason: not_applicable\n\n```\n\n### 3. Dismiss known false positive CVEs\n\nCertain CVEs are repeatedly flagged but don't apply to your usage context. Teams dismiss these manually every time they appear. Replace the example CVEs below with your own.\n\n```yaml\nvulnerability_management_policy:\n  - name: \"Dismiss known false positive CVEs\"\n    description: \"CVEs confirmed as false positives for our environment\"\n    enabled: true\n    rules:\n      - type: detected\n        criteria:\n          - type: identifier\n            value: \"CVE-2023-44487\"\n      - type: detected\n        criteria:\n          - type: identifier\n            value: \"CVE-2024-29041\"\n      - type: detected\n        criteria:\n          - type: identifier\n            value: \"CVE-2023-26136\"\n    actions:\n      - type: auto_dismiss\n        dismissal_reason: false_positive\n\n```\n\n### 4. Dismiss generated and auto-created code\n\nProtobuf, gRPC, OpenAPI generators, and ORM scaffolding tools produce files with flagged patterns that cannot be patched by your team.\n\n```yaml\nvulnerability_management_policy:\n  - name: \"Dismiss generated code findings\"\n    description: \"Generated files are not authored by us\"\n    enabled: true\n    rules:\n      - type: detected\n        criteria:\n          - type: directory\n            value: \"generated/*\"\n      - type: detected\n        criteria:\n          - type: file_path\n            value: \"**/*.pb.go\"\n      - type: detected\n        criteria:\n          - type: file_path\n            value: \"**/*.generated.*\"\n    actions:\n      - type: auto_dismiss\n        dismissal_reason: not_applicable\n\n```\n\n### 5. Dismiss infrastructure-mitigated vulnerabilities\n\nVulnerability classes like XSS (CWE-79) or SQL injection (CWE-89) that are already addressed by WAF rules or runtime protection. Only use this when mitigating controls are verified and consistently enforced.\n\n```yaml\nvulnerability_management_policy:\n  - name: \"Dismiss CWEs mitigated by WAF\"\n    description: \"XSS and SQLi mitigated by WAF rules\"\n    enabled: true\n    rules:\n      - type: detected\n        criteria:\n          - type: identifier\n            value: \"CWE-79\"\n      - type: detected\n        criteria:\n          - type: identifier\n            value: \"CWE-89\"\n    actions:\n      - type: auto_dismiss\n        dismissal_reason: mitigating_control\n\n```\n\n### 6. Dismiss CVE families across your organization\n\nA wave of related CVEs for a widely-used library your team has assessed? Apply at the group level to dismiss them across dozens of projects. The wildcard pattern (e.g., `CVE-2021-44*`) matches all CVEs with that prefix.\n\n```yaml\nvulnerability_management_policy:\n  - name: \"Accept risk for log4j CVE family\"\n    description: \"Log4j CVEs mitigated by version pinning and WAF\"\n    enabled: true\n    rules:\n      - type: detected\n        criteria:\n          - type: identifier\n            value: \"CVE-2021-44*\"\n    actions:\n      - type: auto_dismiss\n        dismissal_reason: acceptable_risk\n\n```\n\n## Quick reference\n\n| Parameter | Details |\n|-----------|---------|\n| **Criteria types** | `file_path` (glob patterns, e.g., `test/**/*`), `directory` (e.g., `vendor/*`), `identifier` (CVE/CWE with wildcards, e.g., `CVE-2023-*`) |\n| **Dismissal reasons** | `acceptable_risk`, `false_positive`, `mitigating_control`, `used_in_tests`, `not_applicable` |\n| **Criteria logic** | Multiple criteria within a rule = AND (must match all). Multiple rules within a policy = OR (match any). |\n| **Limits** | 3 criteria per rule, 5 rules per policy, 5 policies per security policy project. Vulnerabilty management policy actions process 1000 vulnerabilities per pipeline run in the target project, until all matching vulnerabilities are processed. |\n| **Affected statuses** | Needs triage, Confirmed |\n| **Scope** | Project-level or group-level (group-level applies across all projects) |\n\n## Getting started\nHere's how to get started with auto-dismiss policies:\n\n1. **Identify the noise.** Open your vulnerability report and sort by \"Needs triage.\" Look for patterns: test files, vendored code, the same CVE across projects.\n\n2. **Pick a scenario.** Start with whichever use case above accounts for the most findings.\n\n3. **Record your baseline.** Note the number of \"Needs triage\" vulnerabilities before creating a policy.\n\n4. **Create and enable.** Navigate to **Secure > Policies > New policy > Vulnerability management policy**. Paste the configuration from the use case above, then merge the MR.\n\n5. **Validate results.** After the next default-branch pipeline, filter by status \"Dismissed\" to confirm the right findings were handled.\n\nFor full configuration details, see the [vulnerability management policy documentation](https://docs.gitlab.com/user/application_security/policies/vulnerability_management_policy/#auto-dismiss-policies).\n\n> Ready to take control of vulnerability noise? [Start a free GitLab Ultimate trial](https://about.gitlab.com/free-trial/) and configure your first auto-dismiss policy today.\n",{"slug":728,"featured":29,"template":13},"auto-dismiss-vulnerability-management-policy",{"content":730,"config":739},{"title":731,"description":732,"authors":733,"heroImage":735,"date":736,"body":737,"category":9,"tags":738},"GitLab 18.10 brings AI-native triage and remediation ","Learn about GitLab Duo Agent Platform capabilities that cut noise, surface real vulnerabilities, and turn findings into proposed fixes.",[734],"Alisa Ho","https://res.cloudinary.com/about-gitlab-com/image/upload/v1773843921/rm35fx4gylrsu9alf2fx.png","2026-03-19","GitLab 18.10 introduces new AI-powered security capabilities focused on improving the quality and speed of vulnerability management. Together, these features can help reduce the time developers spend investigating false positives and bring automated remediation directly into their workflow, so they can fix vulnerabilities without needing to be security experts.\n\nHere is what’s new:\n\n* [**Static Application Security Testing (SAST) false positive detection**](https://docs.gitlab.com/user/application_security/vulnerabilities/false_positive_detection/) **is now generally available.** This flow uses an LLM for agentic reasoning to determine the likelihood that a vulnerability is a false positive or not, so security and development teams can focus on remediating critical vulnerabilities first.  \n* [**Agentic SAST vulnerability resolution**](https://docs.gitlab.com/user/application_security/vulnerabilities/agentic_vulnerability_resolution/) **is now in beta.** Agentic SAST vulnerability resolution automatically creates a merge request with a proposed fix for verified SAST vulnerabilities, which can shorten time to remediation and reduce the need for deep security expertise.  \n* [**Secret false positive detection**](https://docs.gitlab.com/user/application_security/vulnerabilities/secret_false_positive_detection/) **is now in beta.** This flow brings the same AI-powered noise reduction to secret detection, flagging dummy and test secrets to save review effort.\n\nThese flows are available to GitLab Ultimate customers using GitLab Duo Agent Platform. \n\n## Cut triage time with SAST false positive detection\n\nTraditional SAST scanners flag every suspicious code pattern they find, regardless of whether code paths are reachable or frameworks already handle the risk. Without runtime context, they cannot distinguish a real vulnerability from safe code that just looks dangerous.\n\nThis means developers could spend hours investigating findings that turn out to be false positives. Over time, that can erode confidence in the report and slow down the teams responsible for fixing real risks.\n\nAfter each SAST scan, GitLab Duo Agent Platform automatically analyzes new critical and high severity findings and attaches:\n\n* A confidence score indicating how likely the finding is to be a false positive  \n* An AI-generated explanation describing the reasoning  \n* A visual badge that makes “Likely false positive” versus “Likely real” easy to scan in the UI\n\nThese findings appear in the [Vulnerability Report](https://docs.gitlab.com/user/application_security/vulnerability_report/), as shown below. You can filter the report to focus on findings marked as “Not false positive” so teams can spend their time addressing real vulnerabilities instead of sifting through noise.\n\n![Vulnerability report](https://res.cloudinary.com/about-gitlab-com/image/upload/v1773844787/i0eod01p7gawflllkgsr.png)\n\n\nGitLab Duo Agent Platform's assessment is a recommendation. You stay in control of every false positive to determine if it is valid, and you can audit the agent's reasoning at any time to build confidence in the model. \n\n\n## Turn vulnerabilities into automated fixes\n\nKnowing that a vulnerability is real is only half the work.  Remediation still requires understanding the code path, writing a safe patch, and making sure nothing else breaks.\n\nIf the vulnerability is identified as likely not be a false positive by the SAST false positive detection flow, the Agentic SAST vulnerability resolution flow automatically:\n\n1. Reads the vulnerable code and surrounding context from your repository  \n2. Generates high-quality proposed fixes  \n3. Validates fixes through automated testing   \n4. Opens a merge request with a proposed fix that includes:  \n   * Concrete code changes  \n   * A confidence score  \n   * An explanation of what changed and why\n\nIn this demo, you’ll see how GitLab can automatically take a SAST vulnerability all the way from detection to a ready-to-review merge request. Watch how the agent reads the code, generates and validates a fix, and opens an MR with clear, explainable changes so developers can remediate faster without being security experts.\n\n\u003Ciframe src=\"https://player.vimeo.com/video/1174573325?badge=0&amp;autopause=0&amp;player_id=0&amp;app_id=58479\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" title=\"GitLab 18.10 AI SAST False Positive Auto Remediation\">\u003C/iframe>\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\nAs with any AI-generated suggestion, you should review the proposed merge request carefully before merging.\n\n## Surface real secrets\n\nSecret detection is only useful if teams trust the results. When reports are full of test credentials, placeholder values, and example tokens, developers may waste time reviewing noise instead of fixing real exposures. That can slow remediation and decrease confidence in the scan.\n\nSecret false positive detection helps teams focus on the secrets that matter so they can reduce risk faster. When it runs on the default branch, it will automatically:\n\n1. Analyze each finding to spot likely test credentials, example values, and dummy secrets  \n2. Assign a confidence score for whether the finding is a real risk or a likely false positive  \n3. Generate an explanation for why the secret is being treated as real or noise  \n4. Add a badge in the Vulnerability Report so developers can see the status at a glance\n\nDevelopers can also trigger this analysis manually from the Vulnerability Report by selecting **“Check for false positive”** on any secret detection finding, helping them clear out findings that do not pose risk and focus on real secrets sooner.\n\n## Try AI-powered security today\n\nGitLab 18.10 introduces capabilities that cover the full vulnerability workflow, from cutting false positive noise in SAST and secret detection to automatically generating merge requests with proposed fixes.\n\nTo see how AI-powered security can help cut review time and turn findings into ready-to-merge fixes, [start a free trial of GitLab Duo Agent Platform today](https://about.gitlab.com/gitlab-duo-agent-platform/?utm_medium=blog&utm_source=blog&utm_campaign=eg_global_x_x_security_en_).",[725,9,724],{"featured":12,"template":13,"slug":740},"gitlab-18-10-brings-ai-native-triage-and-remediation",{"content":742,"config":751},{"title":743,"description":744,"authors":745,"tags":747,"heroImage":748,"category":9,"date":749,"body":750},"A complete guide to GitLab Container Scanning","Explore GitLab's various container scanning methods and learn how to secure containers at every lifecycle stage.",[746],"Fernando Diaz",[9,23],"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772721753/frfsm1qfscwrmsyzj1qn.png","2026-03-05","Container vulnerabilities don't wait for your next deployment. They can emerge at any\npoint, including when you build an image or while containers run in production.\nGitLab addresses this reality with multiple container scanning approaches, each designed\nfor different stages of your container lifecycle.\n\nIn this guide, we'll explore the different types of container scanning GitLab offers,\nhow to enable each one, and common configurations to get you started.\n\n## Why container scanning matters\n\nSecurity vulnerabilities in container images create risk throughout your application\nlifecycle. Base images, OS packages, and application dependencies can all harbor\nvulnerabilities that attackers actively exploit. Container scanning detects these risks\nearly, before they reach production, and provides remediation paths when available.\n\nContainer scanning is a critical component of Software Composition Analysis (SCA),\nhelping you understand and secure the external dependencies your containerized\napplications rely on.\n\n## The five types of GitLab Container Scanning\n\nGitLab offers five distinct container scanning approaches, each serving a specific\npurpose in your security strategy.\n\n\n### 1. Pipeline-based Container Scanning\n\n* What it does: Scans container images during your CI/CD pipeline execution,\ncatching vulnerabilities before deployment\n\n* Best for: Shift-left security, blocking vulnerable images from reaching production \n\n* Tier availability: Free, Premium, and Ultimate (with enhanced features in Ultimate)  \n\n* [Documentation](https://docs.gitlab.com/user/application_security/container_scanning/)\n\n\nGitLab uses the Trivy security scanner to analyze container images for\nknown vulnerabilities. When your pipeline runs, the scanner examines your images\nand generates a detailed report.\n\n\n#### How to enable pipeline-based Container Scanning \n\n**Option A: Preconfigured merge request**  \n\n* Navigate to **Secure > Security configuration** in your project.\n* Find the \"Container Scanning\" row.\n* Select **Configure with a merge request**.\n* This automatically creates a merge request with the necessary configuration.  \n\n**Option B: Manual configuration**  \n\n* Add the following to your `.gitlab-ci.yml`:\n\n```yaml\ninclude:\n  - template: Jobs/Container-Scanning.gitlab-ci.yml\n```  \n\n#### Common configurations\n\n**Scan a specific image:**\n\nTo scan a specific image, overwrite the `CS_IMAGE` variable in the `container_scanning` job.\n\n```yaml\ninclude:\n  - template: Jobs/Container-Scanning.gitlab-ci.yml\n\ncontainer_scanning:\n  variables:\n    CS_IMAGE: myregistry.com/myapp:latest\n```\n\n**Filter by severity threshold:**\n\nTo only find vulnerabilities with a certain severity criteria, overwrite the\n`CS_SEVERITY_THRESHOLD` variable in the `container_scanning` job. In the example\nbelow, only vulnerabilities with a severity of **High** or greater will be displayed.\n\n\n```yaml\ninclude:\n  - template: Jobs/Container-Scanning.gitlab-ci.yml\n\ncontainer_scanning:\n  variables:\n    CS_SEVERITY_THRESHOLD: \"HIGH\"\n```\n\n#### Viewing vulnerabilities in a merge request\n\nViewing Container Scanning vulnerabilities directly within merge requests makes security\nreviews seamless and efficient. Once Container Scanning is configured in your CI/CD\npipeline, GitLab automatically display detected vulnerabilities in the merge request's\n[Security widget](https://docs.gitlab.com/user/project/merge_requests/widgets/#application-security-scanning). \n\n\n![Container Scanning vulnerabilities displayed in MR](https://res.cloudinary.com/about-gitlab-com/image/upload/v1772547514/lt6elcq6jexdhqatdy8l.png \"Container Scanning vulnerabilities displayed in MR\")\n\n\n\n* Navigate to any merge request and scroll to the \"Security Scanning\" section to see a summary of\nnewly introduced and existing vulnerabilities found in your container images.\n\n* Click on a **Vulnerability** to access detailed information about the finding, including severity level,\naffected packages, and available remediation guidance.\n\n\n![GitLab Security View details in MR](https://res.cloudinary.com/about-gitlab-com/image/upload/v1772547514/hplihdlekc11uvpfih1p.png)\n\n\n\n![GitLab Security View details in MR](https://res.cloudinary.com/about-gitlab-com/image/upload/v1772547513/jnxbe7uld8wfeezboifs.png \"Container Scanning vulnerability details in MR\")\n\n\nThis visibility enables developers and security teams to catch and address container\nvulnerabilities before they reach production, making security an integral part of your\ncode review process rather than a separate gate.\n\n\n#### Viewing vulnerabilities in Vulnerability Report\n\nBeyond merge request reviews, GitLab provides a centralized\n[Vulnerability Report](https://docs.gitlab.com/user/application_security/vulnerability_report/) that gives security teams comprehensive visibility across all Container Scanning findings in your project.\n\n\n![Vulnerability Report sorted by Container Scanning](https://res.cloudinary.com/about-gitlab-com/image/upload/v1772547524/gagau279fzfgjpnvipm5.png \"Vulnerability Report sorted by Container Scanning\")\n\n\n* Access this report by navigating to **Security & Compliance > Vulnerability Report** in your\nproject sidebar.\n\n* Here you'll find an aggregated view of all container vulnerabilities detected across your branches, with powerful filtering options to sort by severity, status, scanner type, or specific container images.\n\n* You can click on a vulnerabilty to access its Vulnerablity page.\n\n\n![Vulnerability page - 1st view](https://res.cloudinary.com/about-gitlab-com/image/upload/v1772547520/e1woxupyoajhrpzrlylj.png)\n\n\n![Vulnerability page - 2nd view](https://res.cloudinary.com/about-gitlab-com/image/upload/v1772547521/idzcftcgjc8eryixnbjn.png)\n\n\n![Vulnerability page - 3rd view](https://res.cloudinary.com/about-gitlab-com/image/upload/v1772547522/mbbwbbprtf9anqqola10.png \"Vunerability Details for a Container Scanning vulnerability\")\n\n\n[Vulnerability Details](https://docs.gitlab.com/user/application_security/vulnerabilities/)\nshows exactly which container images and layers are impacted, making it easier to trace the\nvulnerability back to its source. You can assign vulnerabilities to team members, change\ntheir status (detected, confirmed, resolved, dismissed), add comments for collaboration,\nand link related issues for tracking remediation work.\n\nThis workflow transforms vulnerability management from a spreadsheet exercise into an integrated part of your development process, ensuring that container security findings are tracked, prioritized, and resolved systematically.\n\n#### View the Dependency List\n\nGitLab's [Dependency List](https://docs.gitlab.com/user/application_security/dependency_list/)\nprovides a comprehensive software bill of materials (SBOM) that catalogs every component within\nyour container images, giving you complete transparency into your software supply chain.\n\n* Navigate to **Security & Compliance > Dependency List** to access an inventory of all packages,\nlibraries, and dependencies detected by Container Scanning across your project.\n\n* This view is invaluable for understanding what's actually running inside your containers, from base OS\npackages to application-level dependencies.\n\n\n![GitLab Dependency List](https://res.cloudinary.com/about-gitlab-com/image/upload/v1772547513/vjg6dk3nhajqamplroji.png \"GitLab Dependency List (SBOM)\")\n\n\nYou can filter the list by package manager, license type, or vulnerability status to quickly\nidentify which components pose security risks or compliance concerns. Each dependency entry\nshows associated vulnerabilities, allowing you to understand security issues in the context\nof your actual software components rather than as isolated findings.\n\n\n### 2. Container Scanning for Registry\n\n* What it does: Automatically scans images pushed to your GitLab Container Registry\nwith the `latest` tag\n\n* Best for: Continuous monitoring of registry images without manual pipeline triggers  \n\n* Tier availability: Ultimate only \n\n* [Documentation](https://docs.gitlab.com/user/application_security/container_scanning/#container-scanning-for-registry) \n\n\nWhen you push a container image tagged `latest`, GitLab's security policy bot\nautomatically triggers a scan against the default branch. Unlike pipeline-based\nscanning, this approach works with Continuous Vulnerability Scanning to monitor\nfor newly published advisories.\n\n#### How to enable Container Scanning for Registry\n\n1. Navigate to **Secure > Security configuration**.\n2. Scroll to the **Container Scanning For Registry** section.\n3. Toggle the feature on.\n\n![Container Scanning for Registry](https://res.cloudinary.com/about-gitlab-com/image/upload/v1772547512/vntrlhtmsh1ecnwni5ji.png \"Toggle for Container Scanning for Registry\")\n\n#### Prerequisites\n\n- Maintainer role or higher in the project\n- Project must not be empty (requires at least one commit on the default branch)\n- Container Registry notifications must be configured\n- Package Metadata Database must be configured (enabled by default on GitLab.com)\n\nVulnerabilities appear under the **Container Registry vulnerabilities** tab in your\nVulnerability Report.\n\n\n### 3. Multi-Container Scanning\n\n* What it does: Scans multiple container images in parallel within a single pipeline \n* Best for: Microservices architectures and projects with multiple container images  \n* Tier availability: Free, Premium, and Ultimate (currently in Beta)  \n* [Documentation](https://docs.gitlab.com/user/application_security/container_scanning/multi_container_scanning/) \n\nMulti-Container Scanning uses dynamic child pipelines to run scans concurrently, significantly reducing overall pipeline execution time when you need to scan multiple images.\n\n#### How to enable Multi-Container scanning\n\n1. Create a `.gitlab-multi-image.yml` file in your repository root:\n\n```yaml\nscanTargets:\n  - name: alpine\n    tag: \"3.19\"\n  - name: python\n    tag: \"3.9-slim\"\n  - name: nginx\n    tag: \"1.25\"\n```\n\n2. Include the template in your `.gitlab-ci.yml`:\n\n```yaml\ninclude:\n  - template: Jobs/Multi-Container-Scanning.latest.gitlab-ci.yml\n```\n\n#### Advanced configuration\n\n**Scan images from private registries:**\n\n```yaml\nauths:\n  registry.gitlab.com:\n    username: ${CI_REGISTRY_USER}\n    password: ${CI_REGISTRY_PASSWORD}\n\nscanTargets:\n  - name: registry.gitlab.com/private/image\n    tag: latest\n```\n\n**Include license information:**\n\n```yaml\nincludeLicenses: true\n\nscanTargets:\n  - name: postgres\n    tag: \"15-alpine\"\n```\n\n\n### 4. Continuous Vulnerability Scanning\n\n* What it does: Automatically creates vulnerabilities when new security advisories are published, no pipeline required \n\n* Best for: Proactive security monitoring between deployments\n\n* Tier availability: Ultimate only\n\n* [Documentation](https://docs.gitlab.com/user/application_security/continuous_vulnerability_scanning/)  \n\nTraditional scanning only catches vulnerabilities at scan time. But what happens\nwhen a new CVE is published tomorrow for a package you scanned yesterday? Continuous\nVulnerability Scanning solves this by monitoring the GitLab Advisory Database and\nautomatically creating vulnerability records when new advisories affect your components.\n\n\n#### How it works\n\n1. Your Container Scanning or Dependency Scanning job generates a CycloneDX SBOM.\n\n2. GitLab registers your project's components from this SBOM.\n\n3. When new advisories are published, GitLab checks if your components are affected.\n\n4. Vulnerabilities are automatically created in your vulnerability report.\n\n\n#### Key considerations\n\n- Scans run via background jobs (Sidekiq), not CI pipelines.\n\n- Only advisories published within the last 14 days are considered for new component detection.\n\n- Vulnerabilities use \"GitLab SBoM Vulnerability Scanner\" as the scanner name.\n\n- To mark vulnerabilities as resolved, you still need to run a pipeline-based scan.\n\n\n### 5. Operational Container Scanning\n\n* What it does: Scans running containers in your Kubernetes cluster on a\nscheduled cadence\n\n* Best for: Post-deployment security monitoring and runtime vulnerability detection  \n\n* Tier availability: Ultimate only\n\n* [Documentation](https://docs.gitlab.com/user/clusters/agent/vulnerabilities/)\n\n\nOperational Container Scanning bridges the gap between build-time security and\nruntime security. Using the GitLab Agent for Kubernetes, it scans containers\nactually running in your clusters—catching vulnerabilities that emerge after\ndeployment.\n\n#### How to enable Operational Container Scanning\n\nIf you are using the [GitLab Kubernetes Agent](https://docs.gitlab.com/user/clusters/agent/install/), you can add the following to your agent configuration file:\n\n```yaml\ncontainer_scanning:\n  cadence: '0 0 * * *'  # Daily at midnight\n  vulnerability_report:\n    namespaces:\n      include:\n        - production\n        - staging\n```\n\n\nYou can also create a [scan execution policy](https://docs.gitlab.com/user/clusters/agent/vulnerabilities/#enable-via-scan-execution-policies) that enforces scanning on a schedule by the GitLab Kubernetes Agent.\n\n\n![Scan execution policy - Operational Container Scanning](https://res.cloudinary.com/about-gitlab-com/image/upload/v1772547515/gsgvjcq4sas4dfc8ciqk.png \"Scan execution policy conditions for Operational Container Scanning\")\n\n#### Viewing results\n\n* Navigate to **Operate > Kubernetes clusters**.\n\n* Select the **Agent** tab, and choose your agent.\n\n* Then select the **Security** tab to view cluster vulnerabilities.\n\n* Results also appear under the **Operational Vulnerabilities** tab in the **Vulnerability Report**.\n\n\n## Enhancing posture with GitLab Security Policies\n\nGitLab Security Policies enable you to enforce consistent security standards across your container workflows through automated, policy-driven controls. These policies shift security left by embedding requirements directly into your development pipeline, ensuring vulnerabilities are caught and addressed before code reaches production.\n\n#### Scan execution and pipeline policies\n\n[Scan execution policies](https://docs.gitlab.com/user/application_security/policies/scan_execution_policies/) automate when and how Container Scanning runs across your projects. Define policies that trigger container scans on every merge request, schedule recurring scans of your main branch, and more. These policies ensure comprehensive coverage without relying on developers to manually configure scanning in each project's CI/CD pipeline.\n\nYou can specify which scanner versions to use and configure scanning parameters centrally, maintaining consistency across your organization while adapting to new container security threats.\n\n![Scan execution policy configuration](https://res.cloudinary.com/about-gitlab-com/image/upload/v1772547517/z36dntxslqem9udrynvx.png \"Scan execution policy configuration\")\n\n\n[Pipeline execution policies](https://docs.gitlab.com/user/application_security/policies/pipeline_execution_policies/) provide flexible controls for injecting (or overriding) custom jobs into a pipeline based on your compliance needs.\n\nUse these policies to automatically inject Container Scanning jobs into your pipeline, fail builds when container vulnerabilities exceed your risk tolerance, trigger additional security checks for specific branches or tags, or enforce compliance requirements for container images destined for production environments. Pipeline execution policies act as automated guardrails, ensuring your security standards are consistently applied across all container deployments without manual intervention.\n\n![Pipeline execution policy](https://res.cloudinary.com/about-gitlab-com/image/upload/v1772547517/ddhhugzcr2swptgodof2.png \"Pipeline execution policy actions\")\n\n#### Merge request approval policies\n\n[Merge request approval policies](https://docs.gitlab.com/user/application_security/policies/merge_request_approval_policies/) enforce security gates by requiring designated approvers to review and sign off on merge requests containing container vulnerabilities.\n\nConfigure policies that block merge when critical or high-severity vulnerabilities are detected, or require security team approval for any merge request introducing new container findings. These policies prevent vulnerable container images from advancing through your pipeline while maintaining development velocity for low-risk changes.\n\n![Merge request approval policy performing block in MR](https://res.cloudinary.com/about-gitlab-com/image/upload/v1772547513/hgnbc1vl4ssqafqcyuzg.png \"Merge request approval policy performing block in MR\")\n\n\n## Choosing the right approach\n\n| Scanning Type | When to Use | Key Benefit |\n|--------------|-------------|-------------|\n| Pipeline-based | Every build | Shift-left security, blocks vulnerable builds |\n| Registry scanning | Continuous monitoring | Catches new CVEs in stored images |\n| Multi-container | Microservices | Parallel scanning, faster pipelines |\n| Continuous vulnerability | Between deployments | Proactive advisory monitoring |\n| Operational | Production monitoring | Runtime vulnerability detection |\n\n\n\nFor comprehensive security, consider combining multiple approaches. Use\npipeline-based scanning to catch issues during development, container\nscanning for registry for continuous monitoring, and operational scanning\nfor production visibility.\n\n## Get started today\n\nThe fastest path to container security is enabling pipeline-based scanning:\n\n1. Navigate to your project's **Secure > Security configuration**.\n2. Click **Configure with a merge request** for Container Scanning.\n3. Merge the resulting merge request.\n4. 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Find out what it means for you.",{"text":799,"config":800},"See how GitLab compares to GitHub",{"href":801,"dataGaName":802,"dataGaLocation":245},"/compare/gitlab-vs-github/github-azure-migration/","github azure migration",{"config":804},{"src":779},{"header":806,"blurb":807,"button":808,"secondaryButton":813},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":809,"config":810},"Get your free trial",{"href":811,"dataGaName":52,"dataGaLocation":812},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":507,"config":814},{"href":56,"dataGaName":57,"dataGaLocation":812},1776444482338]