Chainguard aims to reduce the work of managing open-source risk by supplying minimal, maintained container images and related artifacts, along with software bills of materials (SBOMs), signed attestations, and stated CVE-remediation targets. For CIOs, the potential benefit is less recurring base-image maintenance for internal teams—not a guarantee that an application is vulnerability-free or that every security risk disappears. Chainguard’s product claims and customer outcomes below come from company materials and customer stories, rather than independent product trials.
What Chainguard does—and what it can change
A container image bundles an application with the files and packages it needs to run. When a base image contains packages a workload does not need, those packages can add to the image’s attack surface and generate vulnerability findings that teams must assess. Chainguard describes its images as minimal and rebuilt from source; its proposition is that a smaller package footprint can mean fewer image-level findings to triage.
A CVE is an identifier for a publicly disclosed vulnerability. A scanner finding is a prompt for assessment, not proof that a vulnerability is exploitable in a particular workload. Fewer findings can reduce review and patching work, but a lower count alone does not establish a proportional reduction in real-world risk.
Chainguard’s portfolio includes container images as well as libraries, virtual-machine images, OS packages, and CI/CD actions. Its product pages describe the portfolio and display company-reported aggregate metrics: 424,000+ engineering hours saved, 106,000+ CVEs remediated, an average 20 hours to remediate critical CVEs, an 85% reduction in attack surface, and an average 97.6% reduction in CVEs. Chainguard’s homepage was accessed in 2026; the available material does not establish the metrics’ calculation methods, cohorts, or independent verification. They are vendor-reported indicators, not forecasts for a particular organization.
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How the service is intended to reduce CVE overload
Start with fewer packages to maintain
Minimal images may reduce the number of packages exposed to image scanners and the volume of findings that require review. Chainguard’s live image directory lets visitors explore its catalog and see illustrative comparisons. Its displayed counts depend on the images selected and current scanner data, so they are not a stable or independent benchmark. CIOs should compare images used by their own workloads under their own scanning policies.
Shift some patching work to maintained artifacts
Instead of building and maintaining every base image internally, a team can adopt vendor-maintained images and consume updates as they are released. That can move some recurring base-image work away from internal engineers. It does not remove the need to test updates, manage application dependencies, or decide how to handle vulnerabilities outside the vendor’s remediation scope.
Use provenance evidence in security workflows
Chainguard says its images include build-time SBOMs and digitally signed attestations. An SBOM lists software components; an attestation provides signed evidence about an artifact or its build. These can support procurement, audit, policy, and incident-response reviews, but CIOs should verify the specific artifacts’ coverage, formats, availability, retention, and compatibility with their existing processes. The stated features and service terms are described on Chainguard’s CVE remediation and patch-management page.
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Evaluate the stated remediation targets contractually
Chainguard states targets of seven days for critical CVEs and 14 days for high, medium, and low CVEs. Those are the company’s published targets; a buyer should confirm which products are covered, how severity is defined, what exclusions apply, when the clock starts, how updates are delivered, and what escalation or contractual remedies exist. The target should not be treated as a guarantee for every component in an application.
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The examples below are published by Chainguard. They illustrate reported customer experience, not independent validation or a result every buyer should expect.
Canva: inherited CVEs and catalog breadth
Chainguard’s Canva customer story says Canva uses Chainguard Containers and Libraries. It describes inherited CVEs in base operating-system layers as a recurring burden and says Canva assessed CVE reduction, the credibility of remediation, and catalog breadth. The story gives context of around 3,000 engineers and 260 million monthly users; these figures are stated in the vendor-published story, whose publication date is not shown in the available extract. They describe Canva’s scale, not a measured Chainguard result.
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Adam Mills, Senior Engineering Manager at Canva, said: “Chainguard has fundamentally changed how we think about open source security. The security baseline is just better by default. At our scale, that shift has resulted in meaningful compounding value.” This is a customer testimonial published by Chainguard.
Sublime Security: less triage and image-building work
Chainguard’s Sublime Security story describes repeated questions about vulnerability scope and exploitability, enterprise customer requests for SBOMs and remediation evidence, and the engineering burden of building images internally. It says integration used OIDC and GitHub Actions, and reports a near-100% reduction in base-image CVEs for teams that adopted Chainguard. The story is vendor-published, its publication date is not shown in the available extract, and the result is not a forecast for other environments.
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Jonathon Klobucar, Security Engineer at Sublime Security, said: “At the end of the day, when I compared what Chainguard was going to cost me versus the time I was spending, I was going to spend significantly less time on dealing with this problem by utilizing Chainguard than hiring extra headcount.” This is a customer testimonial, not an independently verified cost comparison.
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Anduril: patching across a growing container estate
Chainguard’s Anduril customer story describes the difficulty of patching across a growing container estate under strict customer and government security requirements. It reports that teams adopted Chainguard images and reclaimed time previously spent on vulnerability triage and bespoke image pipelines.
Joe McCaffrey, CISO at Anduril, said: “Our ability to meet DoW and customer security requirements was very difficult because we had to patch CVEs at scale. And with the amount of software that we build, doing that across all of our container images is nearly impossible, or it would’ve required us to build and maintain a large team to do that. And that was not something that we were interested in doing.” This is a customer testimonial published by Chainguard.
Sourcegraph: avoid unnecessary packages while preserving function
A Chainguard-hosted Sourcegraph case study says Sourcegraph sought to reduce CVEs and favored images that avoid unnecessary packages while retaining what teams need to work. The available material does not establish a publication date or an independently audited outcome.
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How to compare Chainguard with other options
A useful comparison includes Chainguard-maintained images, another maintained-image vendor, and images built internally. The customer stories identify relevant decision axes, but they are not neutral evaluations of the market. Build a like-for-like review around your workloads and the effort required to operate each option.
| Decision area | Questions for the evaluation |
|---|---|
| Coverage | Does the catalog cover the operating systems, language runtimes, applications, and architectures your workloads need? |
| Remediation commitment | Which products and severities are covered? What are the timelines, exclusions, update-delivery process, and escalation path? |
| Image contents and compatibility | Are required utilities and runtime behaviors present? What migration, testing, or application changes would adoption require? |
| Evidence and assurance | Are SBOMs complete and available in usable formats? How are signatures, provenance, build process, and policy integrations handled? |
| Workflow fit | How will registry access, identity, CI/CD integration, update automation, scanning tools, and developer self-service work? |
| Governance and cost | Does the approach meet compliance and support needs? What are the licensing and vendor-dependence trade-offs, and how does total cost compare with internal engineering effort? |
Include the cost of engineering time in the comparison, but do not assume it disappears when a vendor maintains the image. Estimate internal effort for building, testing, distributing, and updating images alongside subscription and integration costs. Sublime’s account describes OIDC and GitHub Actions integration; it is an example of one customer’s setup, not proof of effort or compatibility in another environment.
What CIOs should verify before adoption
- Scope: Map the images and related artifacts the vendor maintains against the actual workloads in scope; confirm architectures and catalog gaps.
- Risk measurement: Compare findings using the same scanner, policy, image versions, and time window. Separate image-level CVE counts from application-level risk and workload exploitability.
- Service terms: Check the written commitment for covered products, severity definitions, exclusions, remediation timing, update delivery, and escalation.
- Evidence handling: Test whether SBOMs and signed attestations are accessible and usable in your procurement, policy, audit, and incident-response workflows.
- Compatibility and rollout: Test representative workloads and CI/CD paths, and plan how teams will receive and validate updates.
- Economics and governance: Compare vendor fees and adoption costs with the internal engineering effort avoided, while accounting for support, compliance requirements, and vendor dependence.
Chainguard’s customer directory provides additional company-published testimonials. Treat those, like the stories above, as reported experiences rather than independent evidence of expected performance.
What a lower CVE count does—and does not—prove
A lower count can be operationally useful when it means fewer findings to triage or fewer packages to patch. It does not, by itself, show that remaining findings are exploitable, that an application is secure, or that all dependencies and deployment configurations are covered. Likewise, a zero-CVE result should be scoped to the particular image, scan, date, and policy used; it should not be generalized to an entire application or organization.
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