aquasecurity/trivy
trivy
Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
Usage guide
trivy is an open-source project around containers, devsecops, docker with 35,378 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.
Key features
- Implemented mainly in Go, useful for judging integration effort in a similar stack.
- GitHub detected the Apache-2.0 repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
- The project has a homepage, so cross-check docs, examples, and release information beyond GitHub.
Best for
- Evaluating trivy for Go AI workflows.
- Comparing a GitHub project with 35,378 stars and current repository activity.
Pros
- trivy has visible GitHub traction with 35,378 stars. Topics: containers, devsecops, docker.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the Apache-2.0 terms fit your use case.
Production readiness
trivy should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
Apache-2.0 is reported by GitHub; review the repository license before redistribution or commercial use.
trivy architecture preview
trivy's main path starts at the entry surface, runs through Coding agent runtime, combines LLM / model client, Repository context, GitHub, and returns Code changes / developer feedback.
Entry
Web / product entry
Users start from a web UI, hosted product surface, or browser-based workflow.
https://trivy.dev
Runtime
Coding agent runtime
The runtime reads developer intent, inspects repository context, plans edits, and returns code-oriented actions.
coding workflow
Model
LLM / model client
The project connects its core runtime to local models or hosted AI APIs when model inference is required.
model signal
Context
Repository context
Runtime state, user input, repository files, or configuration provide context for each task.
context signal
Tools
GitHub
Tool adapters let the runtime act outside the model through GitHub.
GitHub
Output
Code changes / developer feedback
The final result is code edits, explanations, repository actions, or developer-facing feedback.
coding output
Featured video
Phoenix Security
76/77 Trivy Releases Poisoned. How 1 Tag Redirect Stole CI/CD Secrets
112,563 views ยท 2026-03-24
Install tutorial
Before you install
- Docker Engine with enough disk space for images and volumes
- Local build tools for compiling the project
- A clean working directory for the first test run
Check the runtime environment
trivy has Docker in the setup path. Confirm Docker Engine works and reserve enough disk space for images and volumes.
Get the project files
Start from the official repository or package so the first run matches the documented behavior.
$ git clone https://github.com/aquasecurity/trivy.gitInstall or build dependencies
Run the next setup command detected from the project documentation.
$ brew install trivyTroubleshooting
- If installation fails, first confirm the command is being run from the README-specified directory.
- If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
- If output looks wrong, return to the smallest documented trivy example before adding complex data.
- For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
- Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is trivy?
trivy is an open-source ai coding project. Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
How do I install trivy?
Start with the official README. The first detected setup step is: git clone https://github.com/aquasecurity/trivy.git.
Is trivy beginner-friendly?
If you already know the Go ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.
Can trivy be used commercially?
GitHub detected the Apache-2.0 repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
Does trivy need a GPU?
GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.
How should I decide whether to adopt trivy?
Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.