DevGovOps: How the AI Era Dictates That Governance Lives inside the Pipeline

AI coding agents are accelerating software development by autonomously planning, writing, reviewing, and deploying code, challenging compliance models built around identifiable human approvals and slower release cycles. The passage argues that regulations including the EU Cyber Resilience Act, NIST SSDF, DORA, and FedRAMP increasingly require organizations to demonstrate continuous control over their software supply chains, particularly as AI-enabled threats and vulnerabilities can spread rapidly. It proposes DevGovOps as an approach that embeds governance directly into delivery pipelines through machine-readable policies, automatically captured cryptographic attestations, automated enforcement, and continuous post-release monitoring. JFrog positions its AppTrust platform as an implementation of this model, using Artifactory to attach provenance, ownership, risk, and compliance evidence to software artifacts, with capabilities for AI policy testing, prompt-to-release traceability, pre-mapped compliance frameworks, and post-release governance.

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