[{"data":1,"prerenderedAt":816},["ShallowReactive",2],{"/en-us/blog/evolution-of-zero-trust":3,"navigation-en-us":38,"banner-en-us":448,"footer-en-us":458,"blog-post-authors-en-us-Mark Loveless":700,"blog-related-posts-en-us-evolution-of-zero-trust":714,"blog-promotions-en-us":754,"next-steps-en-us":806},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":25,"isFeatured":12,"meta":26,"navigation":27,"path":28,"publishedDate":20,"seo":29,"stem":33,"tagSlugs":34,"__hash__":37},"blogPosts/en-us/blog/evolution-of-zero-trust.yml","Evolution Of Zero Trust",[7],"mark-loveless",null,"security",{"slug":11,"featured":12,"template":13},"evolution-of-zero-trust",false,"BlogPost",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"The evolution of Zero Trust","Zero Trust may be one of the hottest topics in security today, but it's not exactly new. Here's a history.",[18],"Mark Loveless","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749664096/Blog/Hero%20Images/evolution-of-zero-trust.jpg","2019-04-01","\nUpdate: This is part 1 of an ongoing [Zero Trust series](/blog/tags/zero-trust/). See our next post: [Zero Trust at GitLab: Problems, goals, and coming challenges](/blog/zero-trust-at-gitlab-problems-goals-challenges/).\n\n\nI was not at the 2019 RSA Conference this year, so I asked my friends and colleagues what it was like and if they enjoyed themselves.\nNearly every person mentioned the phrase \"Zero Trust Networking\" during their recounting of events, and the vast majority of them seemed worn down with the phrase by the end of the conference.\nSeveral mentioned it was the \"hot topic\" – the term ‘Zero Trust’ actually made the RSAC Buzzwords Top 3 list.\nI have a few thoughts on the subject, because it is a solid way to move forward in the security realm, but I also wanted to remind people that this is not some new thing that came up this year – this is a concept whose roots stretch back a few decades.\nI also wanted to point out that Zero Trust will not end attacks, as attacks never end.\n\nThis is the first of a series of blog posts from the security team here at GitLab explaining Zero Trust and how we are tackling it.\nBut for these discussions to make sense, we need to show some perspective, so first, a bit of a history lesson.\nThere were three major shifts that brought about Zero Trust, all building upon each other.\nLet’s cover them, one by one.\n\n## First shift: Death of the perimeter\n\nBack in the early days of the internet, if you wanted to attack a target network, you would do a bit of reconnaissance and discover things like hostnames and IP ranges.\nYou would probe, find the available services on these target hosts, then begin trying to compromise them.\nThis was because the individual host systems were fairly wide open.\nSystem administrators needed a way to limit access to the servers and workstations under their control, while allowing legitimate access to users. Remote workers were rare, as the bulk of users were in an office building together.\nSo the [network firewall](https://en.wikipedia.org/wiki/Firewall_(computing)) was born in the early 1990s, restricting access between an organization’s internal network and the internet.\n\nAttackers were accustomed to [port scanning](https://en.wikipedia.org/wiki/Port_scanner) the target, finding the various services, and taking their pick of which service to attack.\nTo adapt to the newly installed firewall, attackers began to focus on the services that were allowed through the firewall. Back then, [organizations still controlled their own servers](https://en.wikipedia.org/wiki/DMZ_(computing)), running things like DNS, email, and web services.\nThese types of common services required holes be punched in the firewall to allow legitimate traffic to them, and so the attackers simply came in with the legitimate traffic.\n\nAt the same time, desktop operating systems and corporate applications began to move toward interacting and sharing information with each other, and as system administrators felt a level of control with the firewall, no one really pushed back very hard against these various operating systems and their noisy applications.\nIn fact, using those same firewall rules, it was possible to allow customers, business partners, and vendors a bit more access to the precious internal network by creating large holes to allow the access.\nThis meant if the attacker could figure out who your trusted partners were, they could compromise them and then come in through the large hole created for those same trusted partners.\n\n>This meant if the attacker could figure out who your trusted partners were, they could compromise them and then come in through the large hole created for those same trusted partners.\n\nIt became common knowledge that once an attacker got a foothold into that internal network, it was usually quite easy to move about within the organization.\nThe attackers adapted. The firewall lost a lot of its value, and to many attackers it became meaningless.\n\nI remember meeting [Bill Cheswick](https://en.wikipedia.org/wiki/William_Cheswick) (one of those early pioneers that helped bring about the firewall) at a security conference, and I was able to corner him and talk shop.\nSomething both of us gravitated towards was this concept of how the infamous \"network perimeter\" was basically an illusion.\nIt _could_ work, but not without changing a serious amount of tech to make it happen.\nHow did each of us secure our respective home systems?\n[Hardening each system individually](https://en.wikipedia.org/wiki/Bastion_host), and just eliminating the concept of the perimeter.\nSure, we both kept a perimeter, but it was maintained with a few router rules, and was more like a white picket fence than a castle wall. To us, the network perimeter was dead.\n\n>Sure, we kept a perimeter, but it was more like a white picket fence than a castle wall. To us, the network perimeter was dead.\n\nThis was a common topic among security practitioners and network administrators at the time, all of us discussing and arguing the fine points the same way Cheswick and I did.\nWe needed some way to deal with the attacker since the perimeter was dead or dying.\nThe concept of Zero Trust networking was born.\nThis started as rumblings during the early 2000s and came into an actual concept of sorts through the [Jericho Forums](https://en.wikipedia.org/wiki/Jericho_Forum) in 2004, and by 2010 or so it even had a name.\nBut I am getting ahead of myself. Other things were happening.\n\n## Second shift: The cloud\n\nGetting [slashdotted](https://en.wikipedia.org/wiki/Slashdot_effect).\n[Distributed denial of service attacks](https://en.wikipedia.org/wiki/Denial-of-service_attack).\nJust not having the bandwidth on your internet-connected web server in your data center to handle the traffic.\nThis internet thing was really taking off, and the World Wide Web was driving it.\n A few companies figured out clever ways to provide server services for organizations all over the globe, and were known as [Content Distribution Networks](https://en.wikipedia.org/wiki/Content_delivery_network) (CDNs), and CDNs gave these organizations a way to upload web content to these servers.\n Even though content might be replicated across the CDN’s dozens of data centers world wide, it was one single entity as far as a typical website visitor was concerned.\n\nNot only could you upload your corporate web server to the CDNs, after a while you could basically pay for virtual servers that you could use for any purpose.\nAs web servers developed and web apps become more ambitious, some companies offered up their services to other companies, some even broke out of the \"web app\" mold and began to offer robust services that replaced desktop applications.\n\n### [The cloud](https://en.wikipedia.org/wiki/Cloud_computing) had arrived.\n\nNot everyone liked the cloud, in fact many organizations were quite resistant to it at first. Others immediately saw the value in it and moved everything to the cloud.\n\nAttackers did what they did best: they adapted. People new to the cloud would often get permissions wrong and expose sensitive data.\nAny bad coding practices they had before the cloud were just uploaded anyway as the cloud didn’t magically fix bugs.\nMoving poorly-coded services in the cloud meant even more holes in firewalls if old legacy data was still stored “on prem”.\nHowever, more often than not it meant these services and the insecure methods used to reach its data was simply moved up to the cloud, sometimes with even more exposure.\nAttackers got to know how these new technologies worked and understood the flaws that existed in the implementations and kept on compromising systems.\n\nWhile the cloud shift created its fair share of upheaval,  it certainly set the stage for the third major shift.\n\n## Third shift: Mobility\n\nWorking remotely? We'd had dial up networking via modem at first, followed by the infamous VPN.\nAs one might imagine, this was an obvious one that certainly bypassed a firewall on a network perimeter. Knowing usernames and passwords had always been a goal of attackers, and if they managed to obtain that information they could certainly plug it into a VPN for access.\n\n### To help protect the username and password, [Two Factor Authentication](https://en.wikipedia.org/wiki/Multi-factor_authentication) (2FA) came about.\n\nThe infamous RSA token was technology I encountered ages ago, and it was certainly all the rage during the first decade of this century.\nMy first encounter was when using a VPN in the late '90s.\nA decade later when I worked for MITRE, I carried no fewer than four RSA tokens (not unheard of at the time for many organizations!) for not just remote access, but for special access to projects funded by different government agencies.\nYou were outside that perimeter and needed in, but as users and their passwords were considered a security risk for any number of reasons (poor password hygiene, easily-fooled help desk personnel responsible for resets, etc.), this direct and open exposure of the internal network via the VPN was too insecure.\nSomething you know (the password) and something you have (that RSA token with its changing six-digit number) made it way more difficult for attackers to get in.\n\nOver 20 years ago, everyone had a desktop machine, but those road warriors that travelled for business would be issued a second system – a laptop.\nThis shifted as it made sense to give all of the employees laptops, and the more expensive desktop systems were only issued by those doing specific jobs that required the extra desktop horsepower.\n\nThe phone also helped push forward the mobility concept, as it expanded from a telephone with internet access to a small internet-connected computer loaded with cloud-based apps that also works as a telephone.\n\n### We became mobile.\n\nEither through SMS messaging, an \"authentication app\" that did TOTP, or a full-fledged 2FA app that supported push technology, the phone became the \"something you have\" and essentially killed the old RSA token.\nAnd of course something else happened with all this mobility, it increased the ability for one to work from anywhere.\nMost of those \"Whatever as a Service\" apps were using web-based protocols to communicate to their Cloud presence, and we'd figured out how to log a person in and do 2FA ages ago.\nThere was no need for a perimeter for the basic end user in an organization.\n\nThis was a slow build to a large upheaval in information security.\nBut what really drove home the big security issues of this brave new world was an event.\nThe culmination of our three major shifts – a teaching moment, as they say.\n\n## The big teaching moment\n\nWhat was the big teaching moment?\n\n### The obvious answer everyone talks about is [Operation Aurora](https://en.wikipedia.org/wiki/Operation_Aurora).\n\nThis was the breach at Google that got them to take a look at this whole Zero Trust thing, build their version of it called [BeyondCorp](https://cloud.google.com/beyondcorp/), and begin to implement it internally.\nIn 2014 Google began to publish information about it.\n\nGoogle had been targeted by [PLA Unit 61398](https://en.wikipedia.org/wiki/PLA_Unit_61398).\nI recognized PLA Unit 61398 from my defense contractor days as “Comment Crew,” as one of their backdoor programs that would make innocent-looking web queries to a Comment-Crew-controlled web server, and obfuscated comments in the HTML returned to the backdoor were actually commands for the backdoor to carry out.\nThey targeted a lot of organizations from large corporations to defense contractors to U.S. government agencies.\n\nThe press at the time had a lot of quotes from security experts pooh-poohing the whole [Advanced Persistent Threat](https://www.fireeye.com/current-threats/apt-groups.html) (APT) thing, claiming that APT attacks weren’t sophisticated as the \"advanced\" part of APT implied.\nHowever, most of these people had either never played offense, or they didn't deal with APT as a part of daily life.\nI distinctly remember the Google attack because during that same timeframe, Comment Crew’s attack was repeated against my employer and others. We were not breached in that case and we probably called it “a typical Tuesday,” but many naysayers in the security community finally had to admit that APT was in fact real.\n\n### But a _huge_ teaching moment was the [RSA hack in 2011](https://www.wired.com/2011/08/how-rsa-got-hacked/).\n\nAgain, maybe not the most sophisticated of attacks to gain entry ([phishing](https://en.wikipedia.org/wiki/Phishing) email), but it was just enough to gain a foothold.\nOnce inside, they pivoted and managed to compromise RSA in what was one of the worst ways possible.\nPeople argue about exactly what level of compromise they achieved, but in the end the attackers could program up their own tokens to allow bypass of RSA SecurID implementations at RSA customer locations.\n\nOne important point to make here – 2FA was an extremely important protection mechanism for organizations like the U.S. Government and all of its many defense contractors.\nAPT actors targeted things like documents pertaining to research, plans involving various defense technologies, and credentials for regaining access if their intrusion was discovered and the APT actors were shut out.\nSince those credentials were protected by 2FA via RSA SecurID tokens, complete panic ensued. _Millions_ of tokens had to be manufactured, provisioned, and deployed to customers who had to configure their systems and deploy them internally.\nDuring this time all organizations still had to function, and APT-sponsored attacks against targets that took advantage of the stolen RSA technology began to appear.\n\nThe basic corporate network at the time was still mainly perimeter-based, even though their perimeter was full of holes, allowing everything from remote users to trusted vendors, partners, and customers.\n\n> The cloud was there, but many companies had their feet in both worlds.\n\nThe cloud was there, but many companies had their feet in both worlds. They would often make architectural choices on technology based upon getting systems to just talk to each other and allow data access _without_ fully considering security issues.\nThe user population was increasingly mobile and, by its very nature, was pushing solutions to the absolute limit.\nAnd now, the one thing that at least protected access to it all – a layered security approach to credentials – was compromised.\n\n## Enter Zero Trust\n\nBeyondCorp was Google’s answer to the threat they faced – a sophisticated adversary that took advantage of their employees and gained privileged access to sensitive assets.\nGoogle published a lot of the material they developed, thinking it would help others deal with the same situation.\nFor those of us in the more threatened world of government agencies and government contractors, we didn’t give Google’s BeyondCorp a second thought.\nWe had defenses, we’d learned how to deal with these type of attackers, we’d even dealt with Comment Crew ourselves and could keep them at bay.\n\nThe RSA breach was a different scenario. An area of trust – 2FA – was completely compromised.\nRSA didn’t run out and build BeyondCorp, but it certainly inspired a large number of people to start looking for answers, and Zero Trust really began to check many of the boxes to add in the protections we needed.\nIn essence, the RSA event gave us a reason to implement Zero Trust.\nWe needed more than 2FA, more than inventory control, more than patch management, we needed to be able to establish a trusted environment and could not with the way things were.\n\n### Essentially, it boils down to this: Zero Trust assumes you do not trust the user nor the user’s device.\n\nThe user has to prove that they are who they say they are and that they meet policy requirements to perform the actions they are wanting to perform.\nThe device has to prove that it is what is says it is, including patch levels.\nEven automated processes such as systems that communicate between each other have to prove themselves as well.\nThe transaction should be valid and the processes are allowed to perform the actions they are performing.\nThis means any information in transition needs to be encrypted using secure algorithms, all transactions are signed and signatures validated, and there is a secure audit trail to ensure all parts of the operation can be examined.\n\n### Are we there yet with Zero Trust?\n\nNo. In fact, the hard part isn’t so much the implementation of it, it is getting it implemented everywhere. Most Zero Trust solutions address a lot of the concerns of the past, but they are not perfect by any means.\nMany organizations will be living in “mixed” environments of old and new for quite a while.\nThe applications that implement the raw components of Zero Trust need to be secure.\nThere will be various policy decisions on how to act on various accesses and requests involving users, devices, services, and data that if not properly defined could result in the wrong employee gaining access to sensitive material.\nAnd of course we will always face a clever adversary trying to bypass, break, and compromise whatever security controls are put in place.\n\nAt least with Zero Trust, we have a leg up. In the forthcoming [series of blog posts](/blog/tags/zero-trust/), we’ll share GitLab’s story with Zero Trust.\nGitLab is a cloud native, all-remote company with employees from more than 50 countries.\nWe also strive to be as open as we can be about how we work.\n\nWe invite you to follow our journey and contribute your thoughts, questions and experiences around Zero Trust along the way.\n\nPhoto by [Matthew Henry](https://unsplash.com/photos/fPxOowbR6ls?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) on [Unsplash](https://unsplash.com/search/photos/security?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)\n",[23,9,24],"inside GitLab","zero 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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.",[720],"Grant Hickman","https://res.cloudinary.com/about-gitlab-com/image/upload/v1774375772/kpaaaiqhokevxxeoxvu0.png","2026-03-25",[9,724,565,725,726],"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":729,"featured":27,"template":13},"auto-dismiss-vulnerability-management-policy",{"content":731,"config":740},{"title":732,"description":733,"authors":734,"heroImage":736,"date":737,"body":738,"category":9,"tags":739},"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.",[735],"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_).",[726,9,725],{"featured":12,"template":13,"slug":741},"gitlab-18-10-brings-ai-native-triage-and-remediation",{"content":743,"config":752},{"title":744,"description":745,"authors":746,"tags":748,"heroImage":749,"category":9,"date":750,"body":751},"A complete guide to GitLab Container Scanning","Explore GitLab's various container scanning methods and learn how to secure containers at every lifecycle stage.",[747],"Fernando Diaz",[9,724],"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":753,"featured":27,"template":13},"complete-guide-to-gitlab-container-scanning",{"promotions":755},[756,770,781,792],{"id":757,"categories":758,"header":760,"text":761,"button":762,"image":767},"ai-modernization",[759],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":763,"config":764},"Get your AI maturity score",{"href":765,"dataGaName":766,"dataGaLocation":242},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":768},{"src":769},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":771,"categories":772,"header":773,"text":761,"button":774,"image":778},"devops-modernization",[726,568],"Are you just managing tools or shipping innovation?",{"text":775,"config":776},"Get your DevOps maturity score",{"href":777,"dataGaName":766,"dataGaLocation":242},"/assessments/devops-modernization-assessment/",{"config":779},{"src":780},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":782,"categories":783,"header":784,"text":761,"button":785,"image":789},"security-modernization",[9],"Are you trading speed for security?",{"text":786,"config":787},"Get your security maturity score",{"href":788,"dataGaName":766,"dataGaLocation":242},"/assessments/security-modernization-assessment/",{"config":790},{"src":791},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"id":793,"paths":794,"header":797,"text":798,"button":799,"image":804},"github-azure-migration",[795,796],"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":800,"config":801},"See how GitLab compares to GitHub",{"href":802,"dataGaName":803,"dataGaLocation":242},"/compare/gitlab-vs-github/github-azure-migration/","github azure migration",{"config":805},{"src":780},{"header":807,"blurb":808,"button":809,"secondaryButton":814},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":810,"config":811},"Get your free trial",{"href":812,"dataGaName":49,"dataGaLocation":813},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":504,"config":815},{"href":53,"dataGaName":54,"dataGaLocation":813},1776442967352]