Cosign is an open-source utility that automates the cryptographic signing of software artifacts, eliminating the pain of manual key management. By leveraging the Sigstore infrastructure, it binds a short-lived signing certificate to an OIDC identity—such as a Google or GitHub account—rather than a long-lived private key. This creates a verifiable, auditable link between the developer and the artifact.
Glossary
Cosign

What is Cosign?
Cosign is a tool within the Sigstore project that enables developers to digitally sign and verify container images, blobs, and other software artifacts using a keyless workflow tied to an OpenID Connect (OIDC) identity.
Verification with Cosign is policy-driven and does not require the verifier to manage the signer's public keys directly. Instead, it checks the signature against a transparency log and the issuing Fulcio certificate authority, ensuring the artifact hasn't been tampered with since signing. This mechanism is foundational for enforcing Binary Authorization and achieving higher SLSA Framework compliance levels in secure supply chains.
Key Features of Cosign
Cosign provides a streamlined, keyless workflow for signing and verifying container images and other artifacts, anchoring trust to an OIDC identity rather than a long-lived secret.
Keyless Signing via OIDC
Eliminates the burden of managing static private keys. Cosign authenticates the signer through an OpenID Connect (OIDC) provider, such as Google, GitHub, or Microsoft, to issue a short-lived certificate. This binds the artifact's signature directly to the developer's federated identity, drastically reducing the risk of key exfiltration and simplifying the developer experience.
Transparent Auditing with Rekor
Every signature generated by Cosign is automatically recorded in the Rekor transparency log. This append-only, cryptographically verifiable public ledger provides an immutable record of the signing event. Security teams can audit the log to detect unauthorized signing activities and verify that an artifact was signed before a specific certificate expired, ensuring non-repudiation.
Support for Diverse Artifact Types
While optimized for OCI (Open Container Initiative) container images, Cosign extends signing and verification to any blob or file. This includes:
- Software Bill of Materials (SBOMs) and attestations
- In-toto link metadata for supply chain steps
- Helm charts and WASM modules
- Generic binary blobs stored in any location
Policy-Based Verification
Integrates directly with Open Policy Agent (OPA) and Kubernetes admission controllers through the Sigstore Policy Controller. This allows platform engineers to define and enforce cryptographic policies as code. For example, a cluster can be configured to reject any container image that lacks a valid Cosign signature from a trusted identity in the production namespace.
Hardware-Based Key Management
For organizations requiring long-lived keys, Cosign integrates with Hardware Security Modules (HSMs) and KMS providers (AWS KMS, GCP KMS, Azure Key Vault, HashiCorp Vault). The private key material never leaves the secure boundary of the hardware or cloud service, with signing operations performed remotely, satisfying strict compliance requirements.
In-Toto Attestation Support
Cosign natively handles the generation and verification of in-toto attestations, cryptographically binding a signed statement about an artifact to its digest. This allows a build system to assert the exact SLSA provenance of an artifact, including the source repository, build commands, and input materials, directly within the OCI registry.
Frequently Asked Questions
Clear, technical answers to the most common questions about Cosign, keyless signing, and its role in securing the AI software supply chain.
Cosign is a command-line tool under the Sigstore project that enables developers to digitally sign and verify software artifacts, such as container images and blobs. It works by generating a short-lived, ephemeral key pair tied to an OpenID Connect (OIDC) identity, like a Google or GitHub account. The private key is used to sign the artifact's digest, and then it is immediately discarded, eliminating the need for long-term key management. The signature is stored in an OCI-compliant registry alongside the artifact, and a record of the signing event is published to a public, append-only transparency log (Rekor). Verification involves checking the signature against the artifact's digest, validating the certificate chain against the Fulcio root CA, and confirming the entry exists in the transparency log, providing a cryptographically verifiable chain of custody.
Common Cosign Use Cases
Cosign's keyless workflow, powered by OIDC and the Sigstore transparency log, enables tamper-proof artifact signing across the software supply chain without managing long-lived private keys.
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Cosign vs. Traditional Code Signing
A feature-by-feature comparison of keyless signing with Cosign versus traditional PKI-based code signing workflows.
| Feature | Cosign (Keyless) | Traditional Code Signing | Ad-hoc GPG Signing |
|---|---|---|---|
Key Management | Ephemeral keys generated per signature; no long-term secret storage required | Long-lived private keys stored in HSMs, secure filesystems, or hardware tokens | User-managed private keys stored locally; high risk of loss or exposure |
Identity Binding | Bound to OIDC identity (email, SPIFFE, GitHub Actions workflow) via Fulcio certificate | Bound to a pre-provisioned X.509 certificate issued by a trusted CA | Bound to a self-generated or web-of-trust PGP keypair with no standard revocation |
Certificate Lifespan | Short-lived certificates (default 10 minutes); eliminates revocation infrastructure | Long-lived certificates (1-3 years); requires CRL or OCSP revocation infrastructure | Indefinite key validity unless explicitly revoked and published to keyservers |
Transparency Log | Signatures recorded in Rekor transparency log; publicly auditable append-only ledger | No mandatory transparency log; audit trails depend on organizational logging | No built-in transparency mechanism; verification relies on key distribution channels |
Revocation Capability | Not required; certificates expire before misuse is practical | Requires CRL distribution points or OCSP responders; operational overhead | Manual key revocation and keyserver publication; inconsistent adoption |
Hardware Token Requirement | |||
CI/CD Native Integration | Native OIDC support for GitHub Actions, GitLab CI, Tekton, and cloud workload identity | Requires pre-provisioned secrets, service account keys, or PKCS#11 module configuration | Requires manual key import and passphrase management in pipeline scripts |
Verification Complexity | Single command: cosign verify with OIDC issuer and subject identity regex | Requires certificate chain validation, trust anchor configuration, and revocation checking | Requires GPG keyring management and manual fingerprint verification |
Related Terms
Cosign operates within a broader landscape of software supply chain security tools and frameworks. Understanding these related concepts is essential for building a comprehensive artifact integrity posture.
Workload Identity
A method of assigning a verifiable, short-lived identity to non-human processes like CI/CD pipelines. Cosign's keyless mode relies on workload identity through:
- OIDC tokens: Issued by platforms like GitHub Actions, GitLab CI, or GCP Workload Identity Federation.
- Claims verification: Cosign validates that the OIDC token contains expected claims (e.g.,
issuer,subject) before accepting a signature. - Ephemeral credentials: No long-lived secrets to manage, rotate, or leak—each signing operation uses a fresh certificate valid for only 10 minutes.

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
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