Software Governance

Audits become queries, not fire drills. Artifact Governance accumulates signed facts at every gate as software moves through the delivery lifecycle. Build Scan anchors each artifact to an immutable build record, completing the chain back to build origin. On-Demand Auditing returns answers in seconds because the records exist before the question arrives.

Violations that reach production carry a cost in remediation, incident response, and regulatory exposure. Artifact Governance catches them while the change is still cheap to fix. Because Artifact Governance evaluates at every gate, not only at release, nothing waits until the release gate to surface. Catching a violation in CI takes a pipeline run; catching one in production takes a post-mortem.

Governance shortens delivery cycles instead of lengthening them. Artifact Governance surfaces the facts used to calculate cycle time, gate pass rates, and promotion cadence, providing a single source for all compliance and delivery measurements. Teams stop reporting them separately. When a gate blocks a release, you see the blocking policy and the time to remediation in one view without switching tools.

When a CVE drops, the question is how many builds and deployments are exposed, and the answer is a reproducible, automatable query, not a manual inventory. Artifact Governance stores signed dependency facts across every build, so organization-wide exposure becomes a query through On-Demand Auditing. Develocity Agents open remediation pull requests at scale.

Generative AI carries the same supply chain risk as human-authored code, including unapproved dependencies, deviated toolchains, and unattested sources. Artifact Governance applies the same signed record regardless of who wrote the code. MCP Server grounds agent actions in attested facts instead of training data, so remediation targets real dependency state. Develocity Agents carry out that remediation through your existing change-control process.