Minimal, hardened images designed to maintain low-to-zero known CVEs, with verifiable provenance.
Visit websiteChainguard builds minimal, hardened distroless container images designed to maintain low-to-zero known CVEs, and the secure build infrastructure behind them. Every image ships with a signed SBOM and verifiable provenance, giving security teams a clean baseline rather than a vulnerability backlog.
Chainguard Images replace common base images like Python, Node, Java, and Go with hardened equivalents that dramatically reduce attack surface and audit burden.
Chainguard hardens the open-source software supply chain with minimal, continuously rebuilt container and language images. These are the primary use cases published on Chainguard's own solutions pages, covering AI-era attack exposure, standardised golden images, and CVE remediation at the source.
Defending the open-source software supply chain against AI-accelerated attacks on dependencies, packages, and build pipelines.
Read the use caseStandardising a centralised, compliant set of base images that development teams can build on consistently across the organisation.
Read the use caseReducing accumulated known vulnerabilities in container images by rebuilding on a continuously maintained, minimal foundation.
Read the use caseEach use case has its own page covering the challenge, the relevant capabilities, a practical scenario and how CyberLane supports the decision.
Secure-by-default open source images and libraries that help software and SaaS companies pass security reviews faster and cut engineering toil.
Read the use caseHardened, compliance-aligned artefacts and signed provenance that help government and defence organisations accelerate accreditation and secure restricted environments.
Read the use caseMinimal, verifiable open source artefacts that help banks, fintechs and crypto firms reduce attack surface while meeting continuous compliance obligations.
Read the use caseCyberLane helps clients evaluate where Chainguard fits in a software supply chain strategy — reducing CVE noise at the base layer, supporting compliance evidence, and simplifying container maintenance. We support requirements, architecture, business case, proof-of-concept planning and implementation oversight.
Product-specific delivery is coordinated with the vendor or qualified implementation partners.
Technology decisions start with the advisory work, not the product. These are the domains where Chainguard is typically considered — read the advisory approach before evaluating the technology.
Base images are swapped for hardened, minimal equivalents. Most applications move with small Dockerfile changes; images without a shell or package manager require build-time adjustments to how debugging and tooling are handled.
No. It removes most of the noise at the base layer so scanning focuses on your own dependencies and code, rather than a recurring backlog inherited from the operating system.
Signed SBOMs, provenance and FIPS or STIG-hardened variants provide evidence that is otherwise assembled manually for audits and customer security reviews.
Usually a phased path: start with a small number of high-traffic or high-scrutiny services, prove the build and runtime behaviour, then extend across the estate.
We help define the base-image strategy, quantify the current CVE and remediation burden, build the business case and plan a staged migration; delivery is coordinated with the vendor or an implementation partner.
CyberLane supports requirements, architecture, business case, proof-of-concept planning and implementation oversight to establish where Chainguard fits.