GitLab Inc., a leading DevSecOps platform for software innovation, is making waves with the launch of its latest major release, GitLab 16. This groundbreaking release introduces an AI-powered DevSecOps platform that encompasses a wide range of capabilities, including code suggestions, security testing and analysis, observability, and proactive vulnerability detection.
In line with GitLab’s commitment to privacy, the new software ensures that enterprises and highly-regulated organizations can have full confidence in the protection of their intellectual property within GitLab’s infrastructure.
Among the notable security features of GitLab 16 are improved centralized policy management, expanded compliance reports and controls, compliance dashboards, and default SLSA Level 3 attestations. These enhancements empower enterprises to initiate, scale, and secure their software supply chains, gain complete visibility into their threat landscape, and establish policies that ensure compliance adherence for the delivery of secure software at an accelerated pace.
The introduction of AI-powered features such as Suggested Reviewers, Explain This Code, Explain This Vulnerability, and Value Stream Forecasting further elevates GitLab 16. Future updates will include Refactor This Code and Resolve This Vulnerability, solidifying GitLab’s commitment to integrating AI seamlessly into DevSecOps workflows.
In addition to the new release, GitLab Dedicated, a single-tenant software as a service (SaaS) solution, is set to be available this summer. It offers organizations within highly regulated industries the advantages of an enterprise-grade DevSecOps platform with a focus on data residency, isolation, and private networking.
GitLab’s Value Stream Management empowers customers to visualize end-to-end DevSecOps workstreams, effectively manage software development processes, and gain insights into how digital transformation and technology investments generate value and drive business outcomes.
With the latest Value Stream Analytics, organizations can now visualize and manage the DevSecOps workflow from ideation to delivery. The Value Stream Dashboard provides an enterprise-wide view of DevOps Research and Assessment (DORA) metrics, cycle times, and key indicators like critical vulnerabilities and deployment frequency.
GitLab 16 reflects the growing demand for AI integration in DevSecOps workflows and the need for organizations to deliver secure software efficiently. The functionalities introduced with GitLab 16 enable organizations to harness the power of AI to deliver software without compromising security.
Mark Portofe, Director of Platform Engineering at CARFAX, attests to the impact of GitLab’s DevSecOps platform, stating, “With the implementation of GitLab, we’ve seen a 33% decrease in vulnerabilities in less than a year, as well as a 20% year-over-year increase in deployments.”
According to GitLab’s Global DevSecOps Report, Security Without Sacrifices, 65% of developers are already utilizing or planning to use artificial intelligence and machine learning in their testing efforts within the next three years. The report also highlights security, efficiency, and automation as the top benefits of a DevSecOps platform.
Stephen O’Grady, Principal Analyst with RedMonk, emphasizes the transformative potential of AI in the technology landscape, particularly within the realm of DevOps. He notes that platforms leveraging AI have the opportunity to enhance software development workflows’ efficiency while elevating compliance and security standards.
David DeSanto, Chief Product Officer at GitLab, lauds GitLab 16 as the most comprehensive enterprise DevSecOps platform available. He highlights the wide-ranging benefits, from robust security and scalable governance to providing a complete view of technology value streams, which enable customers to accelerate their digital transformation initiatives at every stage of the software development lifecycle.