Chainguard Logo

Chainguard Review 2026

by Chainguard — chainguard.dev   🇺🇸 USA

Supply Chain Security Container Security Zero CVE
4.3
★★★★☆
Expert Rating
Zero CVE
Images
Software Supply Chain
Security
Container
Security
SLSA
Compliance
2021
Founded

Overview

Chainguard is a software supply chain security company that produces minimal, hardened container base images with zero known CVEs (Common Vulnerabilities and Exposures). Founded in 2021 by former Google engineers who worked on Kubernetes and supply chain security, Chainguard addresses the root cause of many software vulnerabilities: the bloated container base images that ship with hundreds of unnecessary packages, each potentially containing exploitable vulnerabilities.

Chainguard's flagship products — Chainguard Images — are purpose-built minimal container images rebuilt daily from source with only the packages required to run the application. The result is dramatically fewer CVEs: a standard Python base image might have 200+ known CVEs; Chainguard's Python image has zero. This doesn't just reduce attack surface — it also eliminates the constant cycle of patching and vulnerability remediation that consumes security team time.

In 2026, Chainguard has expanded to cover AI/ML frameworks (PyTorch, TensorFlow) and popular open-source tools, addressing the unique supply chain security challenges of AI workloads. The company is trusted by major technology companies and financial institutions who have adopted its images as the secure foundation for their container infrastructure.

Key Features

Zero-CVE Container Images

Minimal, hardened images for 1000+ popular tools and frameworks. Rebuilt daily from source to stay current. Zero known CVEs as the standard, not the exception.

Daily Rebuild from Source

Images rebuilt from source code daily, immediately incorporating upstream security fixes. Not waiting for vendor patches — the most current secure builds always available.

Software Bill of Materials (SBOM)

Cryptographically signed SBOMs for every image. Complete transparency into what's in each image — required by modern software supply chain compliance.

AI/ML Secure Images

Hardened images for PyTorch, TensorFlow, Jupyter, and other AI/ML frameworks. Addresses growing security concerns around AI workload supply chains.

Sigstore Integration

All images signed with Sigstore (Cosign) for supply chain integrity verification. Prevents tampering and verifies authenticity of every container pulled.

SLSA Compliance

Images meet SLSA (Supply Chain Levels for Software Artifacts) framework requirements. Provides the supply chain security attestations enterprises need for compliance.

Pros & Cons

Advantages

  • Zero-CVE images eliminate most vulnerability remediation work
  • Daily rebuilds keep images current automatically
  • Strong SBOM and signing for compliance
  • AI/ML image coverage for modern workloads
  • Founded by top supply chain security experts
  • Reduces security toil dramatically

Disadvantages

  • Premium pricing vs free community base images
  • Requires workflow migration to use Chainguard images
  • Not a complete security platform (supply chain focus only)
  • Learning curve for teams new to supply chain security

Pricing Plans

PlanPriceKey Features
DeveloperFreeLimited images, community support
ProductionCustomFull image catalog, commercial SLAs, SBOMs
EnterpriseCustomExtended support, custom images, compliance reporting

Best Use Cases

Chainguard Excels At:

  • Organizations running containerized applications at scale
  • Enterprises with compliance requirements (SLSA, NIST)
  • DevSecOps teams wanting to reduce vulnerability remediation toil
  • Companies with AI/ML workloads needing secure base images

May Not Be Ideal For:

  • Non-containerized workloads
  • Organizations without Kubernetes/Docker infrastructure
  • Small teams without container security maturity

How It Compares

Chainguard vs Docker Official Images

Docker official images are widely used but have many CVEs. Chainguard Images have zero CVEs by design. The trade-off is Chainguard's premium pricing vs free Docker images.

Chainguard vs Snyk

Snyk scans existing images for vulnerabilities. Chainguard prevents vulnerabilities from existing in images in the first place — a prevention vs detection distinction.

Final Verdict

Our Recommendation

Chainguard solves the software supply chain security problem at the root cause level. Rather than endlessly scanning and patching vulnerable container images, Chainguard's minimal-by-design approach simply eliminates the vast majority of CVEs before they can be exploited. For security teams exhausted by the constant churn of container vulnerability management, Chainguard Images represent a fundamentally better approach. The daily rebuild and SBOM capabilities also address modern compliance requirements that traditional container images can't satisfy.

Frequently Asked Questions

What does "zero CVE" mean for Chainguard Images?+
Chainguard Images are designed to have zero known CVEs (Common Vulnerabilities and Exposures) by including only the minimal packages required to run the application. Unnecessary packages — which account for the vast majority of CVEs in standard base images — are simply not included.
How often are Chainguard Images updated?+
Chainguard Images are rebuilt from source code daily. This means upstream security fixes are incorporated as soon as they're available, without waiting for a vendor release cycle.
Does Chainguard cover AI/ML frameworks?+
Yes — Chainguard provides hardened images for major AI/ML frameworks including PyTorch, TensorFlow, and Jupyter. These images address the growing supply chain security concerns around AI workloads.
What is an SBOM and why does Chainguard include them?+
A Software Bill of Materials (SBOM) is a complete inventory of all packages and components in a piece of software. Chainguard provides cryptographically signed SBOMs for every image, enabling compliance with regulations like US Executive Order 14028 that require SBOM documentation for critical software.