If you're looking for a single solution to manage and secure software development from start to finish, GitLab is a great option. It's an all-encompassing AI-powered DevSecOps platform that automates software delivery and protects the end-to-end software supply chain. GitLab features include automated tasks, continuous integration and delivery, AI-powered workflows, source code management, threat vector management, and compliance standards. It's designed for any size organization, from personal projects to large enterprises.
Another top contender is Aqua, which offers a full cloud native security platform that integrates with a variety of container platforms like Kubernetes, Docker, OpenShift and others. Aqua secures cloud native applications from development to production, covering both dev and production security. It features event-based scanning, genAI security, automated DevSecOps, and compliance management. Aqua works across multiple environments, so it's a good option for cloud native application security.
For a more enterprise-level option, Digital.ai offers a unified AI-Powered DevOps platform. It drives business value by unifying, securing and generating predictive insights across the software lifecycle. Digital.ai features include continuous testing, release orchestration, deployment automation, and integrations with existing tools. The platform is designed to help large enterprises modernize their DevSecOps practices and deliver software reliably and securely.
Last, GitGuardian is focused on detecting and remediating hardcoded secrets in source code to ensure secure software development practices. It continuously scans Git repositories for sensitive data and offers remediating tools and DevOps integrations. The platform lets developers scan their code, receive alerts and remediate, while security teams can take action on high-fidelity alerts to reduce secrets exposure.