How Appaloft Built a Verifiable Delivery Evidence Chain for AI-Driven Deployments

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Appaloft, an open-source delivery platform licensed under Apache-2.0, has developed what it calls a 'delivery evidence chain' to address a longstanding problem in software deployment: proving exactly what code is running in production and who approved it. The challenge has grown more urgent with AI coding agents, which can generate dozens of deployable changes in hours, far outpacing human ability to track and verify each one. The evidence chain follows four steps — freeze, preview, promote, and verify — linking a cryptographically identified artifact to the workload actually serving traffic. Rather than a tarball hash, Appaloft uses a SHA-256 digest over a canonical JSON manifest, enabling meaningful deduplication, mutation detection during capture, and path-safety validation. The system is explicitly designed to fail closed, meaning absent or unverifiable evidence always triggers a failure rather than silently passing a check.

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