docksec 2026.6.24

AI-Powered Docker Security Analyzer

DockSec

AI-powered Docker security scanner that explains vulnerabilities in plain English

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What is DockSec?

DockSec is an OWASP Lab Project that bridges the gap between complex security scan results and actionable developer fixes. It integrates industry-standard scanners (Trivy, Hadolint, Docker Scout) with advanced AI to provide context-aware security analysis.

Instead of overwhelming you with a list of 200+ CVEs, DockSec:

• Prioritizes what actually affects your specific container setup.
• Explains vulnerabilities in plain English, not just security jargon.
• Suggests specific, line-by-line fixes for your Dockerfile.
• Generates professional, interactive security reports for your team.

Think of it as having a security expert sitting right next to you, reviewing your Dockerfiles in real-time.

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How It Works

DockSec workflow: From scanning to actionable insights

DockSec follows a robust four-stage pipeline:

1. Scan: Runs Trivy, Hadolint, and Docker Scout locally on your environment.
2. Analyze: AI correlates findings across all scanners to remove noise and assess real-world impact.
3. Recommend: Generates human-readable explanations and specific remediation steps.
4. Report: Exports actionable results in JSON, PDF, HTML, or Markdown formats.

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Leaders

DockSec is led by a dedicated team committed to making container security accessible.

• Advait Patel - Project Lead
• Arkadii Yakovets - Project Co-lead

For questions or discussions, please join the #project-docksec channel on OWASP Slack.

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Quick Start

GitHub Action

Integrate DockSec into your GitHub Actions workflow:

- name: Run DockSec AI Scanner
  uses: OWASP/DockSec@main
  with:
    dockerfile: 'Dockerfile'
    openai_api_key: ${{ secrets.OPENAI_API_KEY }}

CLI Usage

# Install DockSec
pip install docksec

# Scan a Dockerfile (AI-powered)
# Reports will be saved to ~/.docksec/results/
docksec Dockerfile

# Scan Dockerfile + Docker image
docksec Dockerfile -i myapp:latest

# Scan a Docker Compose file and all its services
docksec --compose docker-compose.yml

# Scan only a Docker image
docksec --image-only -i myapp:latest

# Fast scan only (no AI)
docksec Dockerfile --scan-only

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Features

• Smart Analysis: AI explains what vulnerabilities mean for your specific setup.
• Multi-LLM Support: Use OpenAI, Anthropic Claude (4.x), Google Gemini (1.5+), or local models via Ollama.
• Docker Compose Scanning: Detect orchestration-level misconfigurations and scan all services in a compose file.
• Deep Integration: Combines Trivy (vulnerabilities), Hadolint (linting), and Docker Scout.
• Security Scoring: Get a 0-100 score to track your security posture over time.
• Centralized Reporting: All reports are neatly organized in ~/.docksec/results/ by default.
• Rich Formats: Professional exports in HTML (interactive), PDF, JSON, and CSV.
• CI/CD Ready: Designed for easy integration into GitHub Actions and build pipelines.
• GitHub Action: Available on the GitHub Marketplace for automated security scans.

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How DockSec Compares

Here is a comparison of how DockSec relates to other container security tools.

Capability	DockSec	Trivy (standalone)	Snyk Container	Aikido
License and cost	Free, open source (MIT)	Free, open source (Apache 2.0)	Commercial (limited free tier)	Commercial (limited free tier)
Governance	OWASP Lab Project, vendor neutral	Open source, maintained by Aqua	Single vendor	Single vendor
Detects CVEs and Dockerfile misconfigurations	Yes	Yes	Yes	Yes
Contextual, line level Dockerfile remediation	Yes (line specific rewrites with explanation)	No (detection only)	Yes (base image upgrade advice, fix PRs)	Yes (AI AutoFix PRs)
Runs fully offline / air gapped	Yes (local LLM via Ollama, scan only mode, no API key)	Yes for scanning (no remediation layer)	No (cloud platform)	No (hosted platform)
Your image data stays on your network	Yes	Yes	No	No
Bring your own LLM / model choice	Yes (OpenAI, Anthropic, Gemini, or local Ollama)	Not applicable	No (proprietary AI)	No (proprietary AI)
Self hostable, no platform deployment	Yes	Yes	No	No
Vendor lock in	None	None	Yes	Yes
Security score (0 to 100) and multi format reports (HTML, PDF, JSON, CSV, Markdown)	Yes	Partial (machine formats, no remediation report)	Partial (dashboard reports)	Partial (dashboard reports)

DockSec is the only one of these that pairs contextual, line level Dockerfile remediation with a fully open source, OWASP governed, locally runnable design. Snyk and Aikido offer capable AI remediation, but only as commercial cloud platforms that send your data to their service. Trivy is open source and local but stops at detection and does not help you fix anything. DockSec fills the gap for developers and for regulated or air gapped teams who need both the fix guidance and full control of their data, at no cost.

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Contributing

DockSec thrives on community contributions. Whether you are a developer, designer, or security enthusiast, there are many ways to get involved:

• Code Contributions: Fix bugs or add new features.
• Documentation: Improve guides or create tutorials.
• Issue Reporting: Identify and report bugs.
• Feedback: Share your experience and suggestions.

To get started, check out our Contributing Guidelines, Code of Conduct, and Sponsorship Guide.

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Community and Social Media

• OWASP Project Page: owasp.org/DockSec/
• OWASP Slack: #project-docksec
• PyPI: pypi.org/project/docksec/
• Issues: Report a bug

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If DockSec helps you, give it a ⭐ to help others discover it!
Built with ❤️ by Advait Patel and the OWASP community.