[{"data":1,"prerenderedAt":794},["ShallowReactive",2],{"/en-us/blog/how-gitlab-can-help-you-secure-your-cloud-native-applications":3,"navigation-en-us":42,"banner-en-us":442,"footer-en-us":452,"blog-post-authors-en-us-Nico Meisenzahl":690,"blog-related-posts-en-us-how-gitlab-can-help-you-secure-your-cloud-native-applications":704,"assessment-promotions-en-us":746,"next-steps-en-us":784},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":28,"isFeatured":12,"meta":29,"navigation":30,"path":31,"publishedDate":20,"seo":32,"stem":36,"tagSlugs":37,"__hash__":41},"blogPosts/en-us/blog/how-gitlab-can-help-you-secure-your-cloud-native-applications.yml","How Gitlab Can Help You Secure Your Cloud Native Applications",[7],"nico-meisenzahl",null,"devsecops",{"slug":11,"featured":12,"template":13},"how-gitlab-can-help-you-secure-your-cloud-native-applications",false,"BlogPost",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"How GitLab improves cloud native application security and protection","In this article, we will show you how GitLab can help you streamline your cloud native application security from a code and operations point of view by providing you with real-world examples.",[18],"Nico Meisenzahl","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749664102/Blog/Hero%20Images/gitlab-values-cover.png","2020-08-18","\n{::options parse_block_html=\"true\" /}\n\nIn the [cloud-native](/topics/cloud-native/) ecosystem, decisions and changes are made on a rapid basis. Applications get adapted and deployed multiple times a week or even day. Microservices get developed decentralized with different peoples and teams involved. In such an environment, it is crucial to ensure that applications are developed and operated safely. This can be done by shifting security left into the developer lifecycle but also by using DevSecOps to empower operations with enhanced monitoring and protection for the application runtime.\n\nIn this article, I would like to show you how GitLab can help you streamline your application security from a code and operations point of view by providing you with real-world examples. Before we deep dive into the example, let me first introduce you to the [GitLab Secure](https://about.gitlab.com/stages-devops-lifecycle/secure/) and [GitLab Protect](https://about.gitlab.com/stages-devops-lifecycle/govern/) product portfolio which are the foundation for this. GitLab Secure helps developers to enable accurate, automated, and continuous assessment of their applications by proactively identifying vulnerabilities and weaknesses and therefore minimizing security risk. GitLab Protect, on the other hand, supports operations by proactively protecting environments and cloud-native applications by providing context-aware technologies to reduce overall security risk. Both are backed by leading open-source projects that have been fully integrated into developer and operation processes and the GitLab user interface (UI).\n\n## Cloud Native Application Security: The attack\n\nLet’s assume we have an application hosting a web interface that allows a user to provide some input. The application is written in [Golang](https://golang.org/) and executes the input as part of an external operating system command ([os/exec](https://golang.org/pkg/os/exec/)). The application does not contain any validation or security features to validate the input, which allows us to inject additional commands that are also executed in the application environment.\n\nThe application is running as containerized microservices in a Kubernetes cluster. The Kubernetes Cluster is shared across multiple teams and projects, allowing us to inject and read data in another application running next to ours. In our example, we will connect an unsecured Redis instance in a different Namespace and read/write data.\n\nNow let us take a closer look at how GitLab can help us detect the attack, permit its execution, and finally help us find and fix the root cause in our code.\n\n## Container Host Security\n\n[Container Host Security](/stages-devops-lifecycle/govern/) helps us to detect an attack in real-time by monitoring the pod for any unusual activity. It can then alert operations with detailed information on the attack itself.\n\nContainer Host Security is powered by [Falco](https://falco.org/), an open-source runtime security tool that listens to the Linux kernel using eBPF. Falco parses system calls and asserts the stream against a configurable rules engine in real-time. The Falco deployment used by Container Host Security can be deployed and fully managed using [GitLab Managed Apps](https://docs.gitlab.com/ee/update/removals.html).\n\nIn our example, Falco detects the injected redis-cli command, which is used to read/write data into the unsecured Redis instance.\n\n![Container Host Security](https://about.gitlab.com/images/blogimages/2020-08-18-How-GitLab-Can-Help-You-Secure-Your-Cloud-Native-Applications/falco.png)\n\nFalco can now alert operations who can use those valuable insights to define and execute further steps.\n\n## Container Network Security\n\nA first step to permit access to the unsecured Redis instance would be to permit traffic between the application in our Kubernetes cluster. This can be done by using [Container Network Security](/stages-devops-lifecycle/govern/). Container Network Security is again fully managed by [GitLab Managed Apps](https://docs.gitlab.com/ee/update/removals.html) and can also be configured within the GitLab project user interface.\n\nContainer Network Security is powered by [Cilium](https://cilium.io/), an open-source networking plugin for Kubernetes that can be used to implement support for NetworkPolicy resources. [Network Policies](https://kubernetes.io/docs/concepts/services-networking/network-policies/) can be used to detect and block unauthorized network traffic between pods and to/from the Internet.\n\nImplementing Network Policies for our application will block the underlying network traffic generated by the attack. The policies can be enabled within the GitLab project UI:\n\n![Network Policies](https://about.gitlab.com/images/blogimages/2020-08-18-How-GitLab-Can-Help-You-Secure-Your-Cloud-Native-Applications/network-polices.png)\n\n## Web Application Firewall\n\nWith Container Network Security in place, our attack isn’t able to talk to the Redis instance anymore, but it is still possible to execute other network unrelated attacks using the command injection. [Web Application Firewall (WAF)](/stages-devops-lifecycle/govern/) can now help us to increase the security and detect and block the attack at the [Kubernetes Ingress](https://kubernetes.io/docs/concepts/services-networking/ingress/) level.\n\nThe Web Application firewall is also powered by open-source. It is based on the [ModSecurity](https://kubernetes.github.io/ingress-nginx/user-guide/third-party-addons/modsecurity/) module, a toolkit for real-time web application monitoring, logging, and access control. It is preconfigured to use the [OWASP’s Core Rule Set](https://www.modsecurity.org/CRS/Documentation/), which provides generic attack detection capabilities. Like the other integrations, Web Application Firewall is also fully managed by GitLab using [GitLab Managed Apps](https://docs.gitlab.com/ee/update/removals.html).\n\nIn our example, the Web Application Firewall detects the attack and is also able to block it:\n\n![Web Application Firewall logs](https://about.gitlab.com/images/blogimages/2020-08-18-How-GitLab-Can-Help-You-Secure-Your-Cloud-Native-Applications/waf-log.png)\n\nBlocking the attack at the Ingress level will help us to deny the traffic before it hits our application. To do so, we can enable the Web Application Firewall blocking mode directly from the GitLab UI:\n\n![WAF settings](https://about.gitlab.com/images/blogimages/2020-08-18-How-GitLab-Can-Help-You-Secure-Your-Cloud-Native-Applications/waf-settings.png)\n\nIn addition to Container Host Security, we could have used the Web Application Firewall to detect the attack using the Thread Monitoring dashboard within our GitLab project:\n\n![Thread Monitoring](https://about.gitlab.com/images/blogimages/2020-08-18-How-GitLab-Can-Help-You-Secure-Your-Cloud-Native-Applications/thread-monitoring.png)\n\nThe Thread Monitoring dashboard also provides us with useful insights and metrics of our enforced Container Network Policy.\n\n## Static Application Security Testing\n\nWe have now successfully protected our application runtime and ensured that no additional attacks can be executed. But we should also find and fix the root cause to ensure that such incidents are not recurring in the future. This is where [Static Application Security Testing (SAST)](/stages-devops-lifecycle/secure/) can help us. Static Application Security Testing can be easily integrated into our project using [GitLab CI/CD](https://docs.gitlab.com/ee/ci/) and then allows us to analyze our [source code](/solutions/source-code-management/) for known vulnerabilities.\n\nIn our case (a Golang application) the code scanning is executed using the open-source project [Golang Security Checker](https://github.com/securego/gosec). The results are displayed in the Security dashboard of our GitLab project for easy access:\n\n![Security Dashboard](https://about.gitlab.com/images/blogimages/2020-08-18-How-GitLab-Can-Help-You-Secure-Your-Cloud-Native-Applications/sec-dashboard.png)\n\nIn our example, the code scan has identified the root cause and provides us with detailed information about the vulnerability, the line of code that needs to be fixed, and the ability to easily create an issue to fix it.\n\n![SAST](https://about.gitlab.com/images/blogimages/2020-08-18-How-GitLab-Can-Help-You-Secure-Your-Cloud-Native-Applications/sast.png)\n\nFinally, of course, we should also talk to the team running the other application to make sure that their Redis instance gets secured too. We should also verify how the other [GitLab Secure](https://about.gitlab.com/stages-devops-lifecycle/secure/) features can help to further improve the overall security of the application.\n\n## GitLab Protect and Secure in action\n\nIf you like to get more insights on GitLab Secure and Protect and want to see it in action, you are welcome to join [Wayne](https://gitlab.com/whaber), [Philippe](https://gitlab.com/plafoucriere) and myself in our session [“Your Attackers Won't Be Happy! How GitLab Can Help You Secure Your Cloud-Native Applications!”](https://gitlabcommitvirtual2020.sched.com/event/dUWw/your-attackers-wont-be-happy-how-gitlab-can-help-you-secure-your-cloud-native-applications) at GitLab Commit where you can gain further insights on Container Host Security, Container Network Security, Web Application Firewall (WAF), and Status Application Security Testing (SAST).\n\nRegister today and join me and others at [GitLab Commit](https://about.gitlab.com/events/) on August 26. 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Discover how to balance productivity gains with quality, reliability, and security.",[709],"Manav Khurana","https://res.cloudinary.com/about-gitlab-com/image/upload/v1767982271/e9ogyosmuummq7j65zqg.png","2026-01-08","AI is reshaping DevSecOps: Attend GitLab Transcend to see what’s next","AI promises a step change in innovation velocity, but most software teams are hitting a wall. According to our latest [Global DevSecOps Report](https://about.gitlab.com/developer-survey/), AI-generated code now accounts for 34% of all development work. Yet 70% of DevSecOps professionals report that AI is making compliance management more difficult, and 76% say agentic AI will create unprecedented security challenges.\n\nThis is the AI paradox: AI accelerates coding, but software delivery slows down as teams struggle to test, secure, and deploy all that code.\n\n## Productivity gains meet workflow bottlenecks\nThe problem isn't AI itself. It's how software gets built today. The traditional DevSecOps lifecycle contains hundreds of small tasks that developers must navigate manually: updating tickets, running tests, requesting reviews, waiting for approvals, fixing merge conflicts, addressing security findings. These tasks drain an average of seven hours per week from every team member, according to our research.\n\nDevelopment teams are producing code faster than ever, but that code still crawls through fragmented toolchains, manual handoffs, and disconnected processes. In fact, 60% of DevSecOps teams use more than five tools for software development overall, and 49% use more than five AI tools. This fragmentation creates collaboration barriers, with 94% of DevSecOps professionals experiencing factors that limit collaboration in the software development lifecycle.\n\nThe answer isn't more tools. It's intelligent orchestration that brings software teams and their AI agents together across projects and release cycles, with enterprise-grade security, governance, and compliance built in.\n\n## Seeking deeper human-AI partnerships\nDevSecOps professionals don't want AI to take over — they want reliable partnerships. The vast majority (82%) say using agentic AI would increase their job satisfaction, and 43% envision an ideal future with a 50/50 split between human and AI contributions. They're ready to trust AI with 37% of their daily tasks without human review, particularly for documentation, test writing, and code reviews.\n\nWhat we heard resoundingly from DevSecOps professionals is that AI won't replace them; rather, it will fundamentally reshape their roles. 83% of DevSecOps professionals believe AI will significantly change their work within five years, and notably, 76% think this will create more engineering jobs, not fewer. As coding becomes easier with AI, engineers who can architect systems, ensure quality, and apply business context will be in high demand.\n\nCritically, 88% agree there are essential human qualities that AI will never fully replace, including creativity, innovation, collaboration, and strategic vision.\n\nSo how can organizations bridge the gap between AI’s promise and the reality of fragmented workflows?\n\n## Join us at GitLab Transcend: Explore how to drive real value with agentic AI\nOn February 10, 2026, GitLab will be hosting Transcend, where we'll reveal how intelligent orchestration transforms AI-powered software development. You'll get a first look at GitLab's upcoming product roadmap and learn how teams are solving real-world challenges by modernizing development workflows with AI.\n\nOrganizations winning in this new era balance AI adoption with security, compliance, and platform consolidation. AI offers genuine productivity gains when implemented thoughtfully — not by replacing human developers, but by freeing DevSecOps professionals to focus on strategic thinking and creative innovation.\n\n[Register for Transcend today](https://about.gitlab.com/events/transcend/virtual/) to secure your spot and discover how intelligent orchestration can help your software teams stay in flow.",[715,716,27],"AI/ML","DevOps platform",{"featured":30,"template":13,"slug":718},"ai-is-reshaping-devsecops-attend-gitlab-transcend-to-see-whats-next",{"content":720,"config":731},{"title":721,"description":722,"authors":723,"heroImage":725,"date":726,"body":727,"category":9,"tags":728},"Atlassian ending Data Center as GitLab maintains deployment choice","As Atlassian transitions Data Center customers to cloud-only, GitLab presents a menu of deployment choices that map to business needs.",[724],"Emilio Salvador","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098354/Blog/Hero%20Images/Blog/Hero%20Images/blog-image-template-1800x945%20%281%29_5XrohmuWBNuqL89BxVUzWm_1750098354056.png","2025-10-07","Change is never easy, especially when it's not your choice. Atlassian's announcement that [all Data Center products will reach end-of-life by March 28, 2029](https://www.atlassian.com/blog/announcements/atlassian-ascend), means thousands of organizations must now reconsider their DevSecOps deployment and infrastructure. But you don't have to settle for deployment options that don't fit your needs. GitLab maintains your freedom to choose — whether you need self-managed for compliance, cloud for convenience, or hybrid for flexibility — all within a single AI-powered DevSecOps platform that respects your requirements.\n\nWhile other vendors force migrations to cloud-only architectures, GitLab remains committed to supporting the deployment choices that match your business needs. Whether you're managing sensitive government data, operating in air-gapped environments, or simply prefer the control of self-managed deployments, we understand that one size doesn't fit all.\n\n## The cloud isn't the answer for everyone\n\nFor the many companies that invested millions of dollars in Data Center deployments, including those that migrated to Data Center [after its Server products were discontinued](https://about.gitlab.com/blog/atlassian-server-ending-move-to-a-single-devsecops-platform/), this announcement represents more than a product sunset. It signals a fundamental shift away from customer-centric architecture choices, forcing enterprises into difficult positions: accept a deployment model that doesn't fit their needs, or find a vendor that respects their requirements.\n\nMany of the organizations requiring self-managed deployments represent some of the world's most important organizations: healthcare systems protecting patient data, financial institutions managing trillions in assets, government agencies safeguarding national security, and defense contractors operating in air-gapped environments.\n\nThese organizations don't choose self-managed deployments for convenience; they choose them for compliance, security, and sovereignty requirements that cloud-only architectures simply cannot meet. Organizations operating in closed environments with restricted or no internet access aren't exceptions — they represent a significant portion of enterprise customers across various industries.\n\n![GitLab vs. Atlassian comparison table](https://res.cloudinary.com/about-gitlab-com/image/upload/v1759928476/ynl7wwmkh5xyqhszv46m.jpg)\n\n## The real cost of forced cloud migration goes beyond dollars\n\nWhile cloud-only vendors frame mandatory migrations as \"upgrades,\" organizations face substantial challenges beyond simple financial costs:\n\n* **Lost integration capabilities:** Years of custom integrations with legacy systems, carefully crafted workflows, and enterprise-specific automations become obsolete. Organizations with deep integrations to legacy systems often find cloud migration technically infeasible.\n\n* **Regulatory constraints:** For organizations in regulated industries, cloud migration isn't just complex — it's often not permitted. Data residency requirements, air-gapped environments, and strict regulatory frameworks don't bend to vendor preferences. The absence of single-tenant solutions in many cloud-only approaches creates insurmountable compliance barriers.\n\n* **Productivity impacts:** Cloud-only architectures often require juggling multiple products: separate tools for planning, code management, CI/CD, and documentation. Each tool means another context switch, another integration to maintain, another potential point of failure. GitLab research shows [30% of developers spend at least 50% of their job maintaining and/or integrating their DevSecOps toolchain](https://about.gitlab.com/developer-survey/). Fragmented architectures exacerbate this challenge rather than solving it.\n\n## GitLab offers choice, commitment, and consolidation\n\nEnterprise customers deserve a trustworthy technology partner. That's why we've committed to supporting a range of deployment options — whether you need on-premises for compliance, hybrid for flexibility, or cloud for convenience, the choice remains yours. That commitment continues with [GitLab Duo](https://about.gitlab.com/gitlab-duo/), our AI solution that supports developers at every stage of their workflow.\n\nBut we offer more than just deployment flexibility. While other vendors might force you to cobble together their products into a fragmented toolchain, GitLab provides everything in a **comprehensive AI-native DevSecOps platform**. Source code management, CI/CD, security scanning, Agile planning, and documentation are all managed within a single application and a single vendor relationship.\n\nThis isn't theoretical. When Airbus and [Iron Mountain](https://about.gitlab.com/customers/iron-mountain/) evaluated their existing fragmented toolchains, they consistently identified challenges: poor user experience, missing functionalities like built-in security scanning and review apps, and management complexity from plugin troubleshooting. **These aren't minor challenges; they're major blockers for modern software delivery.**\n\n## Your migration path: Simpler than you think\n\nWe've helped thousands of organizations migrate from other vendors, and we've built the tools and expertise to make your transition smooth:\n\n* **Automated migration tools:** Our [Bitbucket Server importer](https://docs.gitlab.com/user/project/import/bitbucket_server/) brings over repositories, pull requests, comments, and even Large File Storage (LFS) objects. For Jira, our [built-in importer](https://docs.gitlab.com/user/project/import/jira/) handles issues, descriptions, and labels, with professional services available for complex migrations.\n\n* **Proven at scale:** A 500 GiB repository with 13,000 pull requests, 10,000 branches, and 7,000 tags is likely to [take just 8 hours to migrate](https://docs.gitlab.com/user/project/import/bitbucket_server/) from Bitbucket to GitLab using parallel processing.\n\n* **Immediate ROI:** A [Forrester Consulting Total Economic Impact™ study commissioned by GitLab](https://about.gitlab.com/resources/study-forrester-tei-gitlab-ultimate/) found that investing in GitLab Ultimate confirms these benefits translate to real bottom-line impact, with a three-year 483% ROI, 5x time saved in security related activities, and 25% savings in software toolchain costs.\n\n## Start your journey to a unified DevSecOps platform\n\nForward-thinking organizations aren't waiting for vendor-mandated deadlines. They're evaluating alternatives now, while they have time to migrate thoughtfully to platforms that protect their investments and deliver on promises.\n\nOrganizations invest in self-managed deployments because they need control, compliance, and customization. When vendors deprecate these capabilities, they remove not just features but the fundamental ability to choose environments matching business requirements.\n\nModern DevSecOps platforms should offer complete functionality that respects deployment needs, consolidates toolchains, and accelerates software delivery, without forcing compromises on security or data sovereignty.\n\n[Talk to our sales team](https://about.gitlab.com/sales/) today about your migration options, or explore our [comprehensive migration resources](https://about.gitlab.com/move-to-gitlab-from-atlassian/) to see how thousands of organizations have already made the switch.\n\nYou also can [try GitLab Ultimate with GitLab Duo Enterprise](https://about.gitlab.com/free-trial/devsecops/) for free for 30 days to see what a unified DevSecOps platform can do for your organization.",[23,557,729,730],"product","features",{"featured":30,"template":13,"slug":732},"atlassian-ending-data-center-as-gitlab-maintains-deployment-choice",{"content":734,"config":744},{"title":735,"description":736,"authors":737,"heroImage":740,"date":741,"category":9,"tags":742,"body":743},"Why financial services choose single-tenant SaaS","Discover how GitLab Dedicated can help financial services organizations achieve compliant DevSecOps without compromising performance.",[738,739],"George Kichukov","Allie Holland","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749662023/Blog/Hero%20Images/display-dedicated-for-government-article-image-0679-1800x945-fy26.png","2025-08-14",[617,716],"Walk into any major financial institution and you'll see the contradiction immediately. Past the armed guards, through the biometric scanners, beyond the reinforced walls and multiple security checkpoints, you'll find developers building the algorithms that power global finance — on shared infrastructure alongside millions of strangers.\n\nThe software powering today's financial institutions is anything but ordinary. It includes credit risk models that protect billions in assets, payment processing algorithms handling millions of transactions, customer intelligence platforms that drive business strategy, and regulatory systems ensuring operational compliance  — all powered by source code that serves as both operational core and strategic asset.\n\n## When shared infrastructure becomes systemic risk\n\nThe rise of software-as-a-service platforms has created an uncomfortable reality for financial institutions. Every shared tenant becomes an unmanaged third-party risk, turning platform-wide incidents into industry-wide disruptions. This is the exact kind of concentration risk drawing increasing attention from regulators.\n\nJPMorgan Chase's Chief Information Security Officer Patrick Opet recently issued a stark warning to the industry in an [open letter](https://www.jpmorgan.com/technology/technology-blog/open-letter-to-our-suppliers) to third-party suppliers. He highlighted how SaaS adoption \"is creating a substantial vulnerability that is weakening the global economic system\" by embedding \"concentration risk into global critical infrastructure.\" The letter emphasizes that \"an attack on one major SaaS or PaaS provider can immediately ripple through its customers,” creating exactly the systemic risk that multi-tenant cloud platforms for source code management, CI builds, CD deployments, and security scanning introduce.\n\nConsider the regulatory complexity this creates. In shared environments, your compliance posture becomes hostage to potential incidents impacting other tenants as well as the concentration risks of large attack surface providers. A misconfiguration affecting any organization on the platform can trigger wider impact across the entire ecosystem. \n\nData sovereignty challenges compound this risk. Shared platforms distribute workloads across multiple regions and jurisdictions, often without granular control over where your source code executes. For institutions operating under strict regulatory requirements, this geographic distribution can create compliance gaps that are difficult to remediate.\n\nThen there's the amplification effect. Every shared tenant effectively becomes an indirect third-party risk to your operations. Their vulnerabilities increase your attack surface. Their incidents can impact your availability. Their compromises can affect your environment.\n\n## Purpose-built for what matters most\n\nGitLab recognizes that your source code deserves the same security posture as your most sensitive customer data. Rather than forcing you to choose between cloud-scale efficiency and enterprise-grade security, GitLab delivers both through [GitLab Dedicated](https://about.gitlab.com/dedicated/), purpose-built infrastructure that maintains complete isolation.\n\nYour development workflows, source code [repositories](https://docs.gitlab.com/user/project/repository/), and [CI/CD pipelines](https://docs.gitlab.com/ci/pipelines/) run in an environment exclusively dedicated to your organization. The [hosted runners](https://docs.gitlab.com/administration/dedicated/hosted_runners/) for GitLab Dedicated exemplify this approach. These runners connect securely to your data center through outbound private links, allowing access to your private services without exposing any traffic to the public internet. The [auto-scaling architecture](https://docs.gitlab.com/runner/runner_autoscale/) provides the performance you need, without compromising security or control. \n \n## Rethinking control\n\nFor financial institutions, minimizing shared risk is only part of the equation — true resilience requires precise control over how systems operate, scale, and comply with regulatory frameworks. GitLab Dedicated enables comprehensive data sovereignty through multiple layers of customer control. You maintain complete authority over [encryption keys](https://docs.gitlab.com/administration/dedicated/encryption/#encrypted-data-at-rest) through [bring-your-own-key (BYOK)](https://docs.gitlab.com/administration/dedicated/encryption/#bring-your-own-key-byok) capabilities, ensuring that sensitive source code and configuration data remains accessible only to your organization. Even GitLab cannot access your encrypted data without your keys.\n\n[Data residency](https://docs.gitlab.com/subscriptions/gitlab_dedicated/data_residency_and_high_availability/) becomes a choice rather than a constraint. You select your preferred AWS region to meet regulatory requirements and organizational data governance policies, maintaining full control over where your sensitive source code and intellectual property are stored.\n\nThis control extends to [compliance frameworks](https://docs.gitlab.com/user/compliance/compliance_frameworks/) that financial institutions require. The platform provides [comprehensive audit trails](https://docs.gitlab.com/user/compliance/audit_events/) and logging capabilities that support compliance efforts for financial services regulations like [Sarbanes-Oxley](https://about.gitlab.com/compliance/sox-compliance/) and [GLBA Safeguards Rule](https://www.ftc.gov/business-guidance/privacy-security/gramm-leach-bliley-act).\n\nWhen compliance questions arise, you work directly with GitLab's dedicated support team — experienced professionals who understand the regulatory challenges that organizations in highly regulated industries face.\n\n## Operational excellence without operational overhead\n\nGitLab Dedicated maintains [high availability](https://docs.gitlab.com/subscriptions/gitlab_dedicated/data_residency_and_high_availability/) with [built-in disaster recovery](https://docs.gitlab.com/subscriptions/gitlab_dedicated/), ensuring your development operations remain resilient even during infrastructure failures. The dedicated resources scale with your organization's needs without the performance variability that shared environments introduce.\n\nThe [zero-maintenance approach](https://docs.gitlab.com/subscriptions/gitlab_dedicated/maintenance/) to CI/CD infrastructure eliminates a significant operational burden. Your teams focus on development while GitLab manages the underlying infrastructure, auto-scaling, and maintenance — including rapid security patching to protect your critical intellectual property from emerging threats. This operational efficiency doesn't come at the cost of security: the dedicated infrastructure provides enterprise-grade controls while delivering cloud-scale performance.\n\n## The competitive reality\n\nWhile some institutions debate infrastructure strategies, industry leaders are taking decisive action. [NatWest Group](https://about.gitlab.com/press/releases/2022-11-30-gitlab-dedicated-launches-to-meet-complex-compliance-requirements/), one of the UK's largest financial institutions, chose GitLab Dedicated to transform their engineering capabilities:\n\n> *\"NatWest Group is adopting GitLab Dedicated to enable our engineers to use a common cloud engineering platform; delivering new customer outcomes rapidly, frequently and securely with high quality, automated testing, on demand infrastructure and straight-through deployment. This will significantly enhance collaboration, improve developer productivity and unleash creativity via a 'single-pane-of-glass' for software development.\"*\n>\n> **Adam Leggett**, Platform Lead - Engineering Platforms, NatWest\n\n## The strategic choice\n\nThe most successful financial institutions face a unique challenge: They have the most to lose from shared infrastructure risks, but also the resources to architect better solutions. \n\n**The question that separates industry leaders from followers:** Will you accept shared infrastructure risks as the price of digital transformation, or will you invest in infrastructure that treats your source code with the strategic importance it deserves?\n\nYour trading algorithms aren't shared. Your risk models aren't shared. Your customer data isn't shared.\n\n**Why is your development platform shared?**\n\n*Ready to treat your source code like the strategic asset it is? [Let’s chat](https://about.gitlab.com/solutions/finance/) about how GitLab Dedicated provides the security, compliance, and performance that financial institutions demand — without the compromises of shared infrastructure.*",{"featured":12,"template":13,"slug":745},"why-financial-services-choose-single-tenant-saas",{"promotions":747},[748,762,773],{"id":749,"categories":750,"header":752,"text":753,"button":754,"image":759},"ai-modernization",[751],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":755,"config":756},"Get your AI maturity score",{"href":757,"dataGaName":758,"dataGaLocation":246},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":760},{"src":761},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":763,"categories":764,"header":765,"text":753,"button":766,"image":770},"devops-modernization",[729,9],"Are you just managing tools or shipping innovation?",{"text":767,"config":768},"Get your DevOps maturity score",{"href":769,"dataGaName":758,"dataGaLocation":246},"/assessments/devops-modernization-assessment/",{"config":771},{"src":772},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":774,"categories":775,"header":776,"text":753,"button":777,"image":781},"security-modernization",[27],"Are you trading speed for security?",{"text":778,"config":779},"Get your security maturity score",{"href":780,"dataGaName":758,"dataGaLocation":246},"/assessments/security-modernization-assessment/",{"config":782},{"src":783},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"header":785,"blurb":786,"button":787,"secondaryButton":792},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":788,"config":789},"Get your free trial",{"href":790,"dataGaName":53,"dataGaLocation":791},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":498,"config":793},{"href":57,"dataGaName":58,"dataGaLocation":791},1772652075860]