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Invisible Write Paths

This four-part series uses the current Wrkr repo as implementation context for a problem AppSec leaders already recognize: AI tooling is spreading through local developer setups, repositories, MCP configurations, and CI workflows faster than most organizations can inventory or explain it. The point is not to pitch a tool. The point is to describe what a sane discovery and evidence layer should look like when invisible write paths start to matter.

Discovery before judgment MCP, local, repo, and CI surfaces Evidence an auditor can use
Open Wrkr repo See the Gait series

Why a separate Wrkr series

The broader CAISI operating-model series explains how governed AI engineering should work in general. This collection does something narrower. It focuses on discovery and posture: what teams need to see before they can even start a serious approval, control, or evidence conversation.

That distinction matters because discovery is often underestimated. Leaders jump straight to runtime control and miss the simpler failure: nobody can say which AI tools, agents, and MCP servers are already on write-capable paths across the organization. Wrkr is useful here because the repo is explicit about scope: deterministic inventory, privilege mapping, drift review, and evidence output, not live runtime enforcement.

The 4 posts