GitLab Announces Secure AI-driven Capabilities to Streamline Software Development
GitLab has announced new AI-driven innovations to enhance software development with the launch of GitLab Duo Enterprise. This end-to-end AI add-on assists in securing software, addressing vulnerabilities, and increasing team collaboration. Key features include AI-powered root cause analysis, a new AI Impact Dashboard, and customizable AI model personalization.
Additionally, GitLab introduces a new CI/CD catalog to standardize workflows and a range of new capabilities including a Native Secrets Manager, GitLab Dedicated on Google Cloud, enhanced Static Application Security Testing (SAST), and product analytics.
These advancements aim to streamline the software development lifecycle, making it faster and more secure for organizations.
- Launch of GitLab Duo Enterprise, an end-to-end AI add-on.
- AI-powered root cause analysis for faster CI/CD issue resolution.
- AI Impact Dashboard to measure AI feature usage and ROI.
- Customizable AI models for personalized software project contexts.
- New CI/CD catalog to improve efficiency and standardize workflows.
- General availability of a Native Secrets Manager for secure storage of credentials.
- GitLab Dedicated on Google Cloud to meet compliance requirements.
- Enhanced Static Application Security Testing (SAST) to reduce false positives.
- Introduction of product analytics features to measure user behavior.
- Observability capabilities for better tracking of code changes.
- Enterprise agile planning tools to integrate technical and non-technical teams.
- Potential complexity in adopting and integrating new AI-driven tools.
- Requirement for Ultimate subscription for accessing GitLab Duo Enterprise.
- Dependency on AI models which may involve high customization costs.
- Risks associated with new technology adoption and implementation delays.
Insights
GitLab's introduction of GitLab Duo Enterprise is a significant move in the DevSecOps space, reflecting the growing importance of AI integration in software development. The ability to utilize AI for code suggestions, vulnerability detection and remediation can streamline the development process and enhance software security. This integration of AI across the entire development lifecycle is particularly noteworthy as it signifies a shift towards more autonomous and intelligent development environments.
Additionally, self-hosted model deployments to support secure environments show GitLab's commitment to addressing data security concerns, which is critical for enterprises with strict compliance requirements.
The new AI Impact Dashboard could offer organizations tangible insights into their AI usage and impact, potentially helping them to measure the ROI of their AI investments. This feature might attract businesses looking to justify their expenditures on AI technologies.
The launch of GitLab Duo Enterprise highlights a strategic expansion into the AI-driven DevSecOps market, which could be a key growth driver. The inclusion of the CI/CD catalog for workflow standardization and efficiency is likely to appeal to enterprises seeking to optimize their software development processes.
This move could also position GitLab favorably against competitors by offering a more comprehensive, integrated solution that addresses various aspects of the development lifecycle, from security to deployment. The emphasis on customization and support for private, secure environments may further enhance its appeal to large organizations concerned with data privacy and security.
From a financial perspective, the introduction of GitLab Duo Enterprise and other enhancements could potentially lead to increased revenue through higher subscription rates and new customer acquisitions. By providing an AI-driven, end-to-end solution, GitLab is likely to enhance its value proposition to existing and potential clients, possibly resulting in higher customer retention and acquisition metrics.
The emphasis on ROI measurement for AI investments could also reassure investors about the practicality and financial benefits of GitLab's AI capabilities, potentially boosting investor confidence.
Introducing GitLab Duo Enterprise, the only end-to-end AI add-on that operates across every step of the software development lifecycle
- Including AI capabilities to help organizations better secure their software with vulnerability explanation and remediation
- Enabling DevSecOps teams to quickly respond and remediate CI failures and code errors with AI-powered root cause analysis
- Empowering customers to measure the impact and ROI of their AI investments through the AI Impact Dashboard
SAN FRANCISCO, May 16, 2024 (GLOBE NEWSWIRE) -- All Remote - GitLab Inc., the most comprehensive AI-powered DevSecOps platform, today announced new innovations across the platform to streamline how organizations build, test, secure, and deploy software.
Introducing GitLab Duo Enterprise
GitLab Duo Enterprise, a new end-to-end AI add-on, combines the developer-focused AI capabilities of GitLab Duo Pro—organizational privacy controls, code suggestions, and chat—with enterprise-focused AI capabilities to help organizations proactively detect and fix security vulnerabilities, summarize issue discussions and merge requests, resolve CI/CD bottlenecks and failures, and enhance team collaboration.
A new AI impact dashboard and value stream forecasting capability will give an organization insight into its usage of AI features and their effect on software development lifecycle metrics such as cycle time and deployment frequency.
Organizations can customize GitLab Duo with context from their software projects for model personalization. Additionally, GitLab Duo Enterprise provides the option for self-hosted model deployments to support organizations that cannot connect their secure, air-gapped environments to internet-enabled services. GitLab Duo Enterprise will be generally available to Ultimate customers in the next few months.
Adding a new CI/CD catalog
GitLab also launches the general availability of a new CI/CD catalog to help organizations improve efficiency and standardize workflows with a centralized portal for customers to discover, reuse, and contribute pre-built CI/CD components. In addition to the public catalog, organizations can create a private catalog to distribute customized pipelines that automate workflows specific to their needs without compromising security.
Additional upcoming GitLab 17 capabilities include:
- Native Secrets Manager to allow customers to store sensitive credentials within GitLab.
- GitLab Dedicated on Google Cloud to assist organizations in meeting complex compliance requirements.
- Static Application Security Testing (SAST) integrations to help improve accuracy, reduce false positives, and quickly identify and resolve application-layer risks.
- Product analytics features to enable customers to understand user behavior patterns, measure product performance, and prioritize feature enhancements.
- Observability capabilities to allow development and operations teams to understand the application impact of a code or configuration change through error tracking, distributed tracing, metrics, and logs.
- Enterprise agile planning capabilities, including enhanced epics, custom fields in issues, Wikis, roadmaps, and objectives and key results (OKRs), to bring non-technical users into the same DevSecOps platform where engineers build, test, secure, and deploy code.
- A Model Registry to enable data scientists to develop AI/ML models on the same platform where engineers build, test, secure, and deploy code.
To learn more about GitLab 17, register for the company’s launch event: https://about.gitlab.com/seventeen/
Supporting Quote:
- “Successful adoption of DevOps and DevSecOps requires a complex interrelated set of changes based on people, tools, and personnel. Enterprises are therefore looking for integrated platforms that will enable them to improve and optimize their software development lifecycles at scale,” said James Governor, co-founder, RedMonk. “GitLab 17 responds to this requirement with an end-to-end platform that can be used by software developers, operators, product managers, and machine learning teams. Duo Enterprise is designed to reduce friction for the jobs to be done across all these roles and business functions using generative AI.”
- “GitLab continues to revolutionize the way organizations develop, build, secure, and deploy software faster leveraging a comprehensive DevSecOps platform,” said David DeSanto, chief product officer, GitLab. “GitLab 17 ushers in the future of AI-driven software innovation by removing silos across every team involved in delivering software value, automating tasks and complex workflows, and ensuring security and compliance is built-in from the beginning.”
About GitLab
GitLab is the most comprehensive AI-powered DevSecOps platform for software innovation. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 30 million registered users and more than
Media Contact
Christina Weaver
press@gitlab.com
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