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GitLab Announces AI-Powered DevSecOps Platform with GitLab 16 
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GitLab Inc., ​​the most comprehensive AI-powered enterprise DevSecOps platform for software innovation, has announced the launch of GitLab 16, its latest major release. GitLab 16, includes new DevSecOps platform-wide capabilities available to customers now and features GitLab plans to release throughout the year.

Delivering AI-Powered Workflows 

GitLab 16 brings to market an enterprise-grade, artificial intelligence (AI)-powered DevSecOps platform with capabilities encompassing Code Suggestions, enabling users to write better code faster and more efficiently, as well as security testing and analysis, observability and proactive vulnerability detection.

GitLab’s privacy-first approach ensures enterprises and highly-regulated organisations can remain confident their intellectual property stays within GitLab’s infrastructure. Additional current AI-powered features include Suggested Reviewers, Explain This Code, Explain This Vulnerability and Value Stream Forecasting. Upcoming features will include Refactor This Code and Resolve This Vulnerability.

Strengthening Software Supply Chain Security 

GitLab empowers teams to balance speed and security by automating software delivery and securing customers’ end-to-end software supply chain. Enterprises can start, scale and secure their software supply chains, gain full visibility into their threat landscape, and establish policies to aid compliance adherence to deliver secure software faster. New and enhanced security features include enhanced centralised policy management, expanded compliance reports and controls, compliance dashboards, and default SLSA Level 3 attestations.

Meeting Complex Compliance and Regulatory Needs

GitLab Dedicated, which is planned to be generally available this summer, is a single-tenant software as a service (SaaS) solution, providing organisations within highly regulated industries or having stringent compliance requirements the benefits of an enterprise DevSecOps platform with a focus on data residency, isolation, and private networking.

Tailoring Custom Value Stream Management

Value Stream Management allows customers to visualise end-to-end DevSecOps workstreams, manage software development processes and gain insight into how digital transformation and technology investments are delivering value and driving business results. GitLab’s Value Stream Analytics helps organisations visualise and manage the DevSecOps workflow from ideation to delivery, and the Value Stream Dashboard features an enterprise-wide view of DevOps Research and Assessment (DORA) metrics, cycle times and other key metrics like critical vulnerabilities and deployment frequency.

Keeping Up with AI Demand

The current and upcoming updates to GitLab 16 reflect the industry demand for AI integrated with DevSecOps workflows and the need for organisations to ship secure software faster, according to GitLab’s 7th annual Global DevSecOps Report, Security Without Sacrifices. The survey found that 65% of developers are using artificial intelligence and machine learning in testing efforts or plan to in the next three years. The report also found that security, efficiency, and automation were the top benefits of a DevSecOps platform. The new functionalities released with GitLab 16 enable organisations to leverage the power of AI to deliver software efficiently, without compromising security.

To learn more about GitLab’s DevSecOps innovations, register for the company’s GitLab 16 launch event here, featuring 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.

 

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