trivy open source analysis
Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
Project overview
⭐ 29838 · Go · Last activity on GitHub: 2025-11-13
Why it matters for engineering teams
Trivy addresses the critical need for identifying security vulnerabilities and misconfigurations in container images, Kubernetes clusters, infrastructure-as-code, and code repositories. It provides a practical solution for engineering teams focused on DevSecOps and secure software delivery by integrating vulnerability scanning into existing workflows. This open source tool for engineering teams is well-suited to roles such as security engineers, DevOps professionals, and platform engineers who require a reliable, production ready solution to detect risks early. Trivy’s maturity and active maintenance ensure dependable performance in production environments. However, it may not be the best choice for teams seeking highly customisable or enterprise-grade vulnerability management platforms with extensive compliance reporting features.
When to use this project
Trivy is a strong choice when you need fast, straightforward vulnerability scanning integrated into CI/CD pipelines or Kubernetes environments. Teams should consider alternatives if they require advanced analytics, centralised management, or commercial support for large-scale enterprise deployments.
Team fit and typical use cases
Security engineers and DevOps teams benefit most from Trivy by using it to scan container images and infrastructure code as part of their build and deployment processes. It commonly appears in cloud native products, microservices architectures, and platforms prioritising secure, automated delivery. The self hosted option for vulnerability scanning makes it a practical fit for teams wanting control over their security tooling without relying on external services.
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2025-11-13. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.