[{"data":1,"prerenderedAt":721},["ShallowReactive",2],{"/en-us/blog/explain-this-vulnerability/":3,"navigation-en-us":37,"banner-en-us":466,"footer-en-us":483,"Alana Bellucci":693,"next-steps-en-us":706},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"seo":8,"content":16,"config":27,"_id":30,"_type":31,"title":32,"_source":33,"_file":34,"_stem":35,"_extension":36},"/en-us/blog/explain-this-vulnerability","blog",false,"",{"title":9,"description":10,"ogTitle":9,"ogDescription":10,"noIndex":6,"ogImage":11,"ogUrl":12,"ogSiteName":13,"ogType":14,"canonicalUrls":12,"schema":15},"ML experiment: Explain this vulnerability","Learn how GitLab is experimenting with vulnerability explanation and mitigation recommendations in this latest installment of our ongoing 'AI/ML in DevSecOps' series.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749664087/Blog/Hero%20Images/tanukicover.jpg","https://about.gitlab.com/blog/explain-this-vulnerability","https://about.gitlab.com","article","\n                        {\n        \"@context\": \"https://schema.org\",\n        \"@type\": \"Article\",\n        \"headline\": \"ML experiment: Explain this vulnerability\",\n        \"author\": [{\"@type\":\"Person\",\"name\":\"Alana Bellucci\"}],\n        \"datePublished\": \"2023-05-02\",\n      }",{"title":9,"description":10,"authors":17,"heroImage":11,"date":19,"body":20,"category":21,"tags":22},[18],"Alana Bellucci","2023-05-02","\n\n\u003Ci>This blog is the latest post an ongoing series about GitLab’s journey to [build and integrate AI/ML into our DevSecOps platform](/blog/ai-ml-in-devsecops-series/). The first blog post can be found [here](/blog/what-the-ml-ai/). Throughout the series, we’ll feature blogs from our product, engineering, and UX teams to showcase how we’re infusing AI/ML into GitLab.\u003C/i>\n\nGitLab surfaces vulnerabilities that contain relevant information. However, more often users aren't sure where to start. \nIt takes time to research and synthesize information that is surfaced within the vulnerability record. Moreover, figuring out how to fix a given vulnerability can be difficult.\n\nTo help teams identify an effective way to fix a vulnerability within the context of their specific code base, we have released an [experimental](https://docs.gitlab.com/ee/policy/experiment-beta-support.html#experiment)\n feature that provides GitLab AI-assisted vulnerability recommendations leveraging the explanatory power of large language models. This capability combines basic vulnerability \n information with insights derived from the customer's code to explain the vulnerability in context, demonstrate how it can be exploited, and provide an example fix.\n\n[Isaac Dawson](https://gitlab.com/idawson) and [Dinesh Bolkensteyn](https://gitlab.com/dbolkensteyn), both [GitLab Vulnerability Research](/handbook/engineering/development/sec/secure/vulnerability-research/) \nengineers, tested prompts in a large language model to see if prompts could yield helpful results. After fine-tuning the prompts, they found that some prompts could provide better details\n and even suggest recommendations for a fix to vulnerabilities related to static application security testing ([SAST](https://docs.gitlab.com/ee/user/application_security/sast/)). \n In a week's time, Product Designer [Becka Lippert](https://gitlab.com/beckalippert) designed a prototype and [Daniel Tian](https://gitlab.com/dftian), \n [Mo Khan](https://gitlab.com/mokhax), and [Neil McCorrison](https://gitlab.com/nmccorrison) built this experimental feature in GitLab.\n\n![Explain and mitigate this vulnerability with AI](https://about.gitlab.com/images/blogimages/2023-04-27-explain-this-vulnerability.png){: .shadow}\n\n\nThis feature is powered by Google AI. Learn more about [our partnership with Google Cloud](https://about.gitlab.com/press/releases/2023-05-02-gitLab-and-google-cloud-partner-to-expand-ai-assisted-capabilities.html) to enrich GitLab features with generative AI.\n\nYou can explore the \"explain this vulnerability\" feature with a [click-through demo](https://go.gitlab.com/0qIe3O).\n\n## Iterating on AI/ML features\n\nThis [experimental](https://docs.gitlab.com/ee/policy/experiment-beta-support.html#experiment) feature is available in GitLab.com today. We are exploring what this feature could look like for \nother types of vulnerabilities beyond SAST and in a merge request. Have an idea that would make this feature better? Please share it with us, along with any feedback, in this \n[issue](https://gitlab.com/gitlab-org/gitlab/-/issues/407295).\n\nThis experiment is just the start of the ways we're looking to infuse GitLab with AI/ML capabilities to help GitLab users become more efficient and effective at their jobs. We are [looking across the software development lifecycle](/blog/what-the-ml-ai/) for painful and time-consuming tasks that are ideal for AI Assisted features. We'll continue to share these demos throughout this blog series.\n\nInterested in using these AI-generated features? [Join our waitlist](https://forms.gle/9eeUkPJauKsbLaoz5) and share your ideas.\n\nContinue reading our ongoing series, \"[AI/ML in DevSecOps](/blog/ai-ml-in-devsecops-series/)\".\n\n_Disclaimer: This blog contains information related to upcoming products, features, and functionality. It is important to note that the information in this blog post is for informational purposes only. Please do not rely on this information for purchasing or planning purposes. As with all projects, the items mentioned in this blog and linked pages are subject to change or delay. 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