[{"data":1,"prerenderedAt":812},["ShallowReactive",2],{"/en-us/blog/gitlab-security-twenty-twenty-one":3,"navigation-en-us":34,"banner-en-us":444,"footer-en-us":454,"blog-post-authors-en-us-Johnathan Hunt":696,"blog-related-posts-en-us-gitlab-security-twenty-twenty-one":710,"blog-promotions-en-us":750,"next-steps-en-us":802},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":23,"isFeatured":12,"meta":24,"navigation":25,"path":26,"publishedDate":20,"seo":27,"stem":31,"tagSlugs":32,"__hash__":33},"blogPosts/en-us/blog/gitlab-security-twenty-twenty-one.yml","Gitlab Security Twenty Twenty One",[7],"johnathan-hunt",null,"security",{"slug":11,"featured":12,"template":13},"gitlab-security-twenty-twenty-one",false,"BlogPost",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"GitLab Security in 2021: protect, enhance, certify and strengthen","Join our Security team as we review how we worked to keep GitLab, and our community, secure this past year.",[18],"Johnathan Hunt","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749670795/Blog/Hero%20Images/security-year-in-review-2021.png","2021-12-17","\n\n2021 has turned out to be another … interesting year, especially for those of us in the security industry.  Like so many software companies in the business, much of our recent focus has shifted to collective, cross-organizational research efforts to identify, mitigate and help resolve the threat posed by the Log4j vulnerability (See [our response](/blog/updates-and-actions-to-address-logj-in-gitlab/), as well as our post where we detail [how to use GitLab to detect Log4j vulnerabilities](/blog/use-gitlab-to-detect-vulnerabilities/)).\n\nThankfully though, 2021 was also focused on growing the Security department and adding additional teams and roles, bolstering enterprise SaaS security, reducing our threat landscape with improvements to supply chain security and APT threat protection, and fulfilling our mission of working to enable GitLab to succeed in the most secure way possible (see our [vision and mission statements](https://handbook.gitlab.com/handbook/security/#-security-vision-and-mission)). We achieved impressive results through expansion of our security third-party certification and self-attestation portfolio, contribution of GitLab and customer impacting product security features and improved security across all teams and domains in our security program. Our security teams also focused on improving processes and programs that enable customers on their trust journey, educate and engage team members to contribute toward improving our security posture, and encourage and enable collaboration from our community to strengthen GitLab. These efforts have been successful due to the contributions of our talented and dedicated Security team members, as well as the groups and individuals we partner with each day; including our wider community. THANK YOU for making GitLab stronger!\n\n## Improving assurance for the GitLab community\n\nOur [Security Assurance sub-department](https://handbook.gitlab.com/handbook/security/security-assurance/) spent the last year working across our organization to pursue and complete certifications, test and strengthen governance, assess and manage risk, and provide overall support and enablement to GitLab teams and our customers through a number of initiatives.\n\n### Certification portfolio expansion\n\nOur Security Assurance team built on a [successful 2020](/blog/how-we-made-gitlab-more-secure-in-twenty-twenty/) by focusing on our ambitious pursuit of [compliance certifications](https://handbook.gitlab.com/handbook/security/security-assurance/security-compliance/certifications/) with the issuance of GitLab’s first [SOC 2 Type 2/SOC 3 reports](https://us.aicpa.org/interestareas/frc/assuranceadvisoryservices/serviceorganization-smanagement) for the Security [Trust Service Criteria (TSC)](https://us.aicpa.org/interestareas/frc/assuranceadvisoryservices/trustdataintegritytaskforce) dated December 2020. Then, to support customers who need reports by the end of the calendar year, we adjusted our 2021 SOC reporting period to end on October 31st. For our most recent SOC reports we also added the [Confidentiality TSC](/blog/how-gitlab-successfully-expanded-our-soc-2-type-ii-trust-services-report-criteria/) to further highlight the maturity of our operating environment.\n\nIn addition, we delivered our very first [ISO/IEC 27001:2013 certification](https://www.globenewswire.com/en/news-release/2021/12/15/2352975/0/en/A-Compliance-Win-GitLab-Inc-Successfully-Achieves-ISO-IEC-27001-2013-Certification.html) in 2021. Certification against this highly-regarded baseline security standard recognizes our proven commitment to the highest level of information security management.\n\nLastly, in alignment with our continued commitment to transparency we publish all of our security certifications and attestation as part of GitLab’s [Customer Assurance Package](https://trust.gitlab.com/) (learn more below).\n\n### True, continuous control monitoring\n\nOur [Security Compliance team](https://handbook.gitlab.com/handbook/security/security-assurance/security-compliance/) upgraded our [GitLab Control Framework (GCF)](https://handbook.gitlab.com/handbook/security/security-assurance/security-compliance/sec-controls.html) in 2021 by adopting the Secure Control Framework (SCF) and moving into a [new GRC tool: ZenGRC](https://handbook.gitlab.com/handbook/business-technology/tech-stack/#zengrc). This upgraded control framework has increased testing efficiency and allowed GitLab to achieve our external compliance and regulatory obligations with minimized impact to our teams. This, along with our system/profile-based approach to testing, enabled us to achieve [successful external audits](https://handbook.gitlab.com/handbook/security/security-assurance/security-compliance/certifications/) and the implementation of strong [IT general controls (ITGCs) for SOX](https://handbook.gitlab.com/handbook/business-technology/enterprise-applications/it-compliance/) with a small [team of highly-skilled compliance engineers](/company/team/?department=security-assurance).\n\nWe believe our approach to control monitoring has a natural bias towards automation which allows our program to scale, along with GitLab. We’ve continued automating our compliance and regulatory workflows and, where possible, testing evidence as we work towards true continuous control monitoring with proactive alerting of control risks.\n\n### Next generation customer assurance services\n\nOur [Field Security team](https://handbook.gitlab.com/handbook/security/security-assurance/field-security/) deployed [GitLab’s Trust Center](/security/) and next generation Customer Assurance Package to further support our customers on their GitLab trust journey. As part of this effort we expanded our Customer Assurance Package to include the [Standard Information Gathering (SIG) Lite](https://sharedassessments.org/sig/) pre-completed questionnaire, completed an [ISO 20243 Self-Assessment](https://certification.opengroup.org/register/ottps-certification) for both our SaaS and Self-Managed service offerings, and became a [CSA STAR Trusted Cloud Service Provider](https://cloudsecurityalliance.org/star/registry/gitlab/). To support this program internally we dogfooded GitLab’s [Service Desk module](https://docs.gitlab.com/ee/user/project/service_desk.html) to deliver a more efficient way of monitoring, completing and responding to customer assurance requests.\n\nFor this group, 2022 will bring a heavy focus on tooling and automation in support of continued control monitoring, certification expansion and regulated market specialization.\n\n**Note:** Shout out to [@mmaneval20](/company/team/#mmaneval20), [@jburrows001](/company/team/#jburrows001), [@tdilbeck](/company/team/#tdilbeck) and [@julia.lake](/company/team/#Julia.Lake) who provided content for this section!\n\n\n## Shoring up our defenses\n\nOur team of [“breakers, builders, and defenders”](https://handbook.gitlab.com/handbook/security/security-operations/#mission) in our [Security Operations sub-department](https://handbook.gitlab.com/handbook/security/#protect-the-company---the-security-operations-sub-department) were *quite* busy this year identifying, preventing, detecting and responding to risks and security events targeting GitLab, our users and the business.\n\n### Identify, analyze and minimize the threat\n\nTo enhance visibility and increase protection of our ever-growing laptop fleet, our [Security Incident Response Team(SIRT)](https://handbook.gitlab.com/handbook/security/security-operations/sirt/) completed early testing of multiple endpoint detection and response platforms this year. After our IT Ops team successfully deployed our solution, our SIRT team took over support for the tool and owns the endpoint incident response lifecycle. Alerts from the platform have helped to identify possible issues and allow us to respond quickly to keep GitLab secure. Future plans currently include proactive threat hunting and creating advanced detection mechanisms based on available data points.\n\n### Security automation to address that ever-increasing threat landscape\n\nTo ensure our team’s ongoing incident response efforts are effective against the expanded attack surface and threat landscape that comes with our continued growth and expansion, we’re onboarding incident response automation. This solution has enabled us to automate the handling of reported phishing emails, user attestation on GCP documents access, and the assignment of appropriate response priority level via an incident severity calculator. These enhancements allow our engineers to focus on incident response and devising solutions to more complex issues and incidents.\n\n### Strengthening GitLab’s security in the shadows\n\nAs for our [Red Team](https://handbook.gitlab.com/handbook/security/security-operations/red-team/), they continued toeing the line of that ever-present balancing act between their stealth, exploratory testing and their commitment to GitLab’s value of transparency; all while helping GitLab implement effective cyber defenses. They held an external-facing [AMA this year in which they answered many questions from our community](/blog/you-asked-and-our-red-team-answered/) and [shared tips on how developers can secure themselves against RCE drive-by attacks](/blog/why-are-developers-vulnerable-to-driveby-attacks/); including details on a real-life disclosure on the GitLab GDK and shared our expertise surrounding offensive and defensive perspectives of attacks hiding malicious code in #OSS contributions at BlackHat Europe with [\"Picking Lockfiles: Attacking & Defending Your Supply Chain\"](https://www.blackhat.com/eu-21/briefings/schedule/#picking-lockfiles--attacking--defending-your-supply-chain-24844). And, much more … which we can’t talk about 😉 😎 .\n\n**Note:** Shout out to [@hasharma](/company/team/#hasharma), [@mjozenazemian](/company/team/#mjozenazemian), [@smanzuik](/company/team/#smanzuik), [@vmairet ](/company/team/#vmairet) and [@blutz1 ](/company/team/#blutz1) who provided content for this section!\n\n\n## Strengthening and securing GitLab the product\n\nOur [Security Engineering sub-department](https://handbook.gitlab.com/handbook/security/security-engineering/) endeavors to ensure all aspects of GitLab that are exposed to customers or that host customer data are held to the highest security standards, and to be proactive and responsive to ensure the security of anything GitLab offers. Throughout the year, this group collaborates with teams across the organization, and beyond with the GitLab community, to support our business and their bid to ensure that all GitLab products securely manage customer data.\n\n### Enhance the product with new tooling: Spamcheck and Package Hunter\n\nLast year we blogged about [how we work to detect and mitigate spam on GitLab.com](/blog/how-we-work-to-detect-and-mitigate-spam/). This year our [Security Automation team](https://handbook.gitlab.com/handbook/security/security-engineering/automation/) worked closely with the GitLab Trust and Safety team to [introduce Spamcheck](/blog/introducing-spamcheck-data-driven-anti-abuse/), our new anti-spam engine that has been enabled for all projects on GitLab.com and we're targeting inclusion of Spamcheck in the [14.6 release for our GitLab self-managed customers](https://gitlab.com/gitlab-org/omnibus-gitlab/-/issues/6259). By allowing us to better detect and prevent spam, we believe Spamcheck has significantly improved GitLab’s resilience to it. We recently blogged about the [technical decisions behind Spamcheck](/blog/deep-dive-tech-stack-behind-spamcheck/), as well as some of the early performance data points. You can also check out the [code behind Spamcheck](https://gitlab.com/gitlab-org/spamcheck).\n\nIn July 2021, the GitLab [Security Research team](https://handbook.gitlab.com/handbook/security/security-engineering/security-research/) [released Package Hunter](/blog/announcing-package-hunter/), a tool that helps identify malicious dependencies via runtime monitoring. Powered by [Falco](https://falco.org/), Package Hunter installs a program’s dependencies in a sandbox environment and analyzes system calls for malicious code and other unexpected behavior. Testing of NodeJS and Ruby Gems is currently supported. The project is [open source](https://gitlab.com/gitlab-org/security-products/package-hunter) and we are continually working to improve upon it. Community contributions and feedback are very much welcome!\n\n### Risk reduction and vulnerability management\n\nScaling our [Application Security](https://handbook.gitlab.com/handbook/security/security-engineering/application-security/) efforts has been a big priority for our teams. Again, the key to [doing so successfully is thru automation](https://handbook.gitlab.com/handbook/security/security-engineering/application-security/inventory/), particularly when it comes to keeping track of a growing list of codebases that are constantly changing, adding new components, and relying on different dependencies. For this reason we’re very excited about the progress that has been made on the [GitLab Inventory Builder](https://gitlab.com/gitlab-com/gl-security/engineering-and-research/gib/), a very handy tool capable of generating and maintaining a complete list of projects and their dependencies hosted on GitLab.com or self-hosted instances. This is also our first iteration of using policy-as-code to monitor and control various aspects of our projects. Not only can we track where security scans are not well configured, but we believe we can also spot project configuration issues precisely. With the automatic creation of violation issues in GitLab, we can organize, track, and scale the work of our Security Engineers more efficiently. Take a look at this [live action demo](https://gitlab-com.gitlab.io/gl-security/engineering-and-research/inventory-example/) and view the [example code supporting it](https://gitlab.com/gitlab-com/gl-security/engineering-and-research/inventory-example) for more information!\n\nDuring 2021 we bootstrapped our [Infrastructure Security team](https://handbook.gitlab.com/handbook/security/security-engineering/infrastructure-security/) and program. This new team works as a stable counterpart to the Infrastructure team and collaborates across Infrastructure and Security to help identify and mitigate security issues, vulnerabilities, and misconfigurations by applying their in-depth knowledge of operating systems, infrastructure, and cloud providers. With this new team and program we’ve bolstered our security observability, added an operating system instrumentation platform, enhanced monitoring, and created an analytics framework for our hosts; all of which help give us insight into all aspects of our production systems. We’ve also deployed an intuitive security graph tool across our cloud platforms that inventories all of our assets and shows the connections between them, but also enables querying based on various metadata. We believe these efforts have already resulted in significant security risk reduction, enhanced vulnerability management, increased observability, and granular monitoring capabilities.\n\nTo help team members understand the security implications of the systems and features they design and work on, this year our team formalized and integrated a [threat modeling process](https://handbook.gitlab.com/handbook/security/threat_modeling/) here at GitLab. Building upon the [evidence driven threat modeling approach that we started working towards adopting last year](https://handbook.gitlab.com/handbook/security/threat_modeling/#the-framework), we’ve iterated on the threat modeling processes and tooling in order to increase adoption, usage, and understanding across GitLab teams. We’ve also added [issue templates](https://docs.gitlab.com/ee/user/project/description_templates.html#create-an-issue-template) to our internal threat modeling repository and improved upon our [threat modeling runbook](https://handbook.gitlab.com/handbook/security/security-engineering/application-security/runbooks/threat-modeling.html). We talk about some of the basics of threat modeling and [how we’ve developed a framework that will work for GitLab in our blog](/blog/creating-a-threat-model-that-works-for-gitlab/).\n\n### Strengthening our product through global expertise and contributions\nThis past year we received 752 reports from 404 talented bug bounty reporters from all across the globe who helped us to strengthen our product through the identification of security vulnerabilities.\n\nIn February, we moved to a managed bug bounty program with [HackerOne](https://hackerone.com/gitlab). This enables us to scale our report triage process, filter out the noise, and ultimately present the most important reports to our development teams faster. In November, we kicked off, [“Our 3rd annual bug bounty contest: the swagtastic sequel to the sequel“](/blog/3rd-annual-bug-bounty-contest/), announced a near double in [bounty rewards and detailed our move to standardize bounty payments by using CVSS along with a [nifty CVSS calculator](https://gitlab-com.gitlab.io/gl-security/appsec/cvss-calculator/#). This program, and the amazing bug bounty hunters who contribute to it, continue to raise GitLab’s security bar and reduce risk for our customers. You can read more about what happened in our bug bounty program this past year in [“2021: Smashing bugs and dropping names”](https://about.gitlab.com/blog/smashing-bugs-and-dropping-names-in-2021/).\n\n**Note:** Shout out to [@ankelly](/company/team/#ankelly), [@jritchey](/company/team/#jritchey), [@plafoucriere](/company/team/#plafoucriere), [@heather ](/company/team/#heather) and [@laurence.bierner](/company/team/#laurence.bierner) who provided content for this section!\n\n\n## Everyone can contribute…to Security\n\nWhen we say that Security is a team effort, we mean it.  These three sub departments, and the 12 teams that sit within them work collaboratively (and sometimes tirelessly) with dozens of teams across GitLab, and community members, to keep GitLab secure and protect our company, the community and our customers.   Thank you to everyone who contributes here and best wishes for a safe, healthy and happy 2022! 🥂\n\n",[9],"yml",{},true,"/en-us/blog/gitlab-security-twenty-twenty-one",{"title":15,"description":16,"ogTitle":15,"ogDescription":16,"noIndex":12,"ogImage":19,"ogUrl":28,"ogSiteName":29,"ogType":30,"canonicalUrls":28},"https://about.gitlab.com/blog/gitlab-security-twenty-twenty-one","https://about.gitlab.com","article","en-us/blog/gitlab-security-twenty-twenty-one",[9],"JZggVHp4T3ZaMfy3MYOX-yTiKp47zyBvvxFLgghMhFw",{"data":35},{"logo":36,"freeTrial":41,"sales":46,"login":51,"items":56,"search":364,"minimal":395,"duo":414,"switchNav":423,"pricingDeployment":434},{"config":37},{"href":38,"dataGaName":39,"dataGaLocation":40},"/","gitlab logo","header",{"text":42,"config":43},"Get free trial",{"href":44,"dataGaName":45,"dataGaLocation":40},"https://gitlab.com/-/trial_registrations/new?glm_source=about.gitlab.com&glm_content=default-saas-trial/","free trial",{"text":47,"config":48},"Talk to 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vulnerability noise at scale with auto-dismiss policies","Learn how to cut through scanner noise and focus on the vulnerabilities that matter most with GitLab security, including use cases and templates.",[716],"Grant Hickman","https://res.cloudinary.com/about-gitlab-com/image/upload/v1774375772/kpaaaiqhokevxxeoxvu0.png","2026-03-25",[9,720,561,721,722],"tutorial","features","product","Security scanners are essential, but not every finding requires action. Test code, vendored dependencies, generated files, and known false positives create noise that buries the vulnerabilities that actually matter. Security teams waste hours manually dismissing the same irrelevant findings across projects and pipelines. They experience slower triage, alert fatigue, and developer friction that undermines adoption of security scanning itself.\n\nGitLab's auto-dismiss vulnerability policies let you codify your triage decisions once and apply them automatically on every default-branch pipeline. 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":725,"featured":25,"template":13},"auto-dismiss-vulnerability-management-policy",{"content":727,"config":736},{"title":728,"description":729,"authors":730,"heroImage":732,"date":733,"body":734,"category":9,"tags":735},"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.",[731],"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&autopause=0&player_id=0&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_).",[722,9,721],{"featured":12,"template":13,"slug":737},"gitlab-18-10-brings-ai-native-triage-and-remediation",{"content":739,"config":748},{"title":740,"description":741,"authors":742,"tags":744,"heroImage":745,"category":9,"date":746,"body":747},"A complete guide to GitLab Container Scanning","Explore GitLab's various container scanning methods and learn how to secure containers at every lifecycle stage.",[743],"Fernando Diaz",[9,720],"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. Your next pipeline will include vulnerability scanning.\n\nFrom there, layer in additional scanning types based on your security requirements\nand GitLab tier.\n\nContainer security isn't a one-time activity, it's an ongoing process.\nWith GitLab's comprehensive container scanning capabilities, you can detect\nvulnerabilities at every stage of your container lifecycle, from build to runtime.\n\n> For more information on how GitLab can help enhance your security posture, visit the [GitLab Security and Governance Solutions Page](https://about.gitlab.com/solutions/application-security-testing/).\n",{"slug":749,"featured":25,"template":13},"complete-guide-to-gitlab-container-scanning",{"promotions":751},[752,766,777,788],{"id":753,"categories":754,"header":756,"text":757,"button":758,"image":763},"ai-modernization",[755],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":759,"config":760},"Get your AI maturity score",{"href":761,"dataGaName":762,"dataGaLocation":238},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":764},{"src":765},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":767,"categories":768,"header":769,"text":757,"button":770,"image":774},"devops-modernization",[722,564],"Are you just managing tools or shipping innovation?",{"text":771,"config":772},"Get your DevOps maturity score",{"href":773,"dataGaName":762,"dataGaLocation":238},"/assessments/devops-modernization-assessment/",{"config":775},{"src":776},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":778,"categories":779,"header":780,"text":757,"button":781,"image":785},"security-modernization",[9],"Are you trading speed for security?",{"text":782,"config":783},"Get your security maturity score",{"href":784,"dataGaName":762,"dataGaLocation":238},"/assessments/security-modernization-assessment/",{"config":786},{"src":787},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"id":789,"paths":790,"header":793,"text":794,"button":795,"image":800},"github-azure-migration",[791,792],"migration-from-azure-devops-to-gitlab","integrating-azure-devops-scm-and-gitlab","Is your team ready for GitHub's Azure move?","GitHub is already rebuilding around Azure. Find out what it means for you.",{"text":796,"config":797},"See how GitLab compares to GitHub",{"href":798,"dataGaName":799,"dataGaLocation":238},"/compare/gitlab-vs-github/github-azure-migration/","github azure migration",{"config":801},{"src":776},{"header":803,"blurb":804,"button":805,"secondaryButton":810},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":806,"config":807},"Get your free trial",{"href":808,"dataGaName":45,"dataGaLocation":809},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":500,"config":811},{"href":49,"dataGaName":50,"dataGaLocation":809},1776454393325]