Chainloop

Chainloop is a software supply chain governance platform designed to help engineering and security teams manage, enforce, and audit the software delivery process — including pipelines that incorporate AI-generated code. The platform operates as a trust infrastructure layer that connects to existing CI/CD systems, version control platforms (GitHub, GitLab, Bitbucket, Azure DevOps), cloud providers (AWS, Azure, Google Cloud), and DevSecOps tooling. It does not replace existing tools but integrates with them to provide a unified view of the software factory. Core capabilities include: - Evidence collection: Automatically captures artifacts, attestations, build metadata, dependency information, vulnerability reports, and AI model evaluation results from across pipelines into a signed, tamper-proof graph. - Policy enforcement: Allows teams to define compliance requirements as code (versioned outside CI/CD) and automatically enforces them at PR, CI/CD, and release gate checkpoints, blocking releases that do not meet defined criteria. - Audit trail: Maintains a continuous, real-time log of every artifact, attestation, and approval to support audit readiness. - Compliance reporting: Continuously collects evidence to support frameworks such as SOC 2 and SLSA, reducing manual effort during audits. Chainloop is positioned for regulated enterprises and supports AI-specific governance use cases, such as tracking training data references, model scoring approvals, and AI Act compliance requirements. The platform has an open-source core, is SOC 2 Type II certified, and stores all data in the customer's own cloud storage (S3, GCS, or Azure Blob), maintaining data sovereignty. It is deployed in production at enterprise customers including Fortune 500 companies and large financial institutions.