GitLab Inc., a leading enterprise DevSecOps platform for software innovation, has announced the release of GitLab 16, its latest major update. With this release, GitLab aims to deliver a comprehensive AI-powered DevSecOps platform that enables users to develop and deploy software faster while ensuring robust security measures.

GitLab 16 introduces several new capabilities that span the entire platform. One of the key features is Code Suggestions, which leverages artificial intelligence to help users write code more efficiently and effectively. This AI-powered functionality provides recommendations and insights to optimize the development process. Additionally, the release includes security testing and analysis tools, observability features, and proactive vulnerability detection, further strengthening the security aspects of software development.

Maintaining a privacy-first approach, GitLab ensures that enterprises and highly-regulated organizations can trust their intellectual property to remain within GitLab’s secure infrastructure. The platform incorporates AI-powered features like Suggested Reviewers, Explain This Code, Explain This Vulnerability, and Value Stream Forecasting. Future updates will include Refactor This Code and Resolve This Vulnerability, enhancing the capabilities of the platform even further.

In response to the growing importance of software supply chain security, GitLab 16 offers enhanced automation for software delivery while addressing security concerns throughout the entire supply chain. Organizations can now start, scale, and secure their software supply chains, gaining comprehensive visibility into potential threats and establishing policies to ensure compliance with security standards. The release also introduces central policy management, expanded compliance reports and controls, compliance dashboards, and default SLSA Level 3 attestations.

For highly regulated industries and organizations with stringent compliance requirements, GitLab plans to launch GitLab Dedicated, a single-tenant software as a service (SaaS) solution, in the upcoming months. This offering will focus on data residency, isolation, and private networking, providing enterprises with a dedicated DevSecOps platform that meets their complex compliance and regulatory needs.

Value Stream Management is another area that GitLab 16 focuses on. This feature allows customers to visualize and manage end-to-end DevSecOps workstreams, enabling them to gain valuable insights into software development processes and track the effectiveness of digital transformation initiatives. Value Stream Analytics provides organizations with a comprehensive view of the DevSecOps workflow from ideation to delivery, while the Value Stream Dashboard offers enterprise-wide visibility into critical metrics such as cycle times, deployment frequency, and the presence of critical vulnerabilities.

The development of GitLab 16 was driven by industry demand for the integration of AI into DevSecOps workflows and the need for organizations to deliver secure software at an accelerated pace. According to GitLab’s 7th annual Global DevSecOps Report, titled “Security Without Sacrifices,” 65% of developers are already using or planning to use artificial intelligence and machine learning in their testing efforts within the next three years. The report also highlighted security, efficiency, and automation as the top benefits of adopting a DevSecOps platform. With the new capabilities introduced in GitLab 16, organizations can harness the power of AI to streamline software development processes without compromising security.

To learn more about GitLab’s latest DevSecOps innovations, industry professionals can register for the company’s GitLab 16 launch event. The event will feature industry experts, including Mark Portofe, Director of Platform Engineering at CARFAX, June Yang, VP of Cloud AI and Industry Solutions at Google Cloud, Justin Farris, Senior Director of Product Management at GitLab, and Ashley Kramer, Chief Strategy Officer at GitLab.