Repository discovery
Expose AI frameworks, model dependencies, prompt assets, and undeclared AI projects across code repositories.
Discovery Plane
Shadow AI becomes infrastructure before most teams can see it
Shadow AI is not only unsanctioned usage in chat tools. It also appears in repositories, internal services, CI/CD logic, wrappers, and experimental applications that quietly become part of the enterprise stack.
Why Shadow AI matters
Shadow AI is a structural visibility problem
As AI expands through engineering teams, hidden adoption becomes infrastructure risk, not just policy drift.
CI/CD visibility
Surface AI usage in build pipelines, deployment flows, and automation paths before it disappears into delivery noise.
Inventory correlation
Tie newly discovered AI evidence into live inventory, ownership, policy, and risk workflows.
Proof
Discovery tied to real operational evidence
Shadow AI detection
Discovery of AI-related exposure in repositories, toolchains, and undeclared projects.
Inventory and graph materialization
Graph-native visibility across AI assets, dependencies, and attack paths.
Issue detail and evidence
Technical context, governance implications, and next actions in the same incident surface.
Next step
Find Shadow AI before it becomes unmanaged infrastructure
Governance AI turns hidden adoption into visible inventory, control ownership, and executable governance.