Shadow AI (in the SDLC) — Shadow AI in the SDLC is the unmanaged, unofficial use of AI tools and coding agents by developers — outside any central policy, visibility, or governance — creating compliance, security, and intellectual-property risk that the organization can't see or control.
Just as shadow IT described employees adopting tools without approval, shadow AI describes engineers using coding agents however they like, with no standard, no visibility, and no audit trail. It's usually well-intentioned and productive — and a governance blind spot.
The risk isn't the AI; it's the lack of a system around it. Ungoverned agent use means code whose provenance is unclear, prompts that may leak sensitive context, and changes no one can audit — a growing concern for security and compliance teams.
The answer isn't to ban agents but to give them a governed home: a control plane where agent work is dispatched, gated, and recorded. That's the role Skaftor plays — turning shadow AI into orchestrated, auditable delivery.
Not by banning agents — that just pushes usage further underground — but by providing a governed control plane: dispatch agent work from structured specs, apply approval gates, and record everything in an audit trail. Governance replaces prohibition.
Approval gates are governance checkpoints in a software delivery pipeline that a change mu…
Agent orchestration is the coordination of multiple AI agents — assigning work, supplying …
A system of record for software delivery is the authoritative, governed store of an organi…
AI-native software delivery is a way of building software in which humans express intent a…
Last updated July 28, 2026 · https://skaftor.com/glossary/shadow-ai