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Scan one machine free. No account. Nothing leaves your machine.
KeepRails

The platform

One inventory, kept current

The system of record for endpoint-resident Shadow AI: a data-local inventory and change history for AI apps, agents, models, IDE tools, MCP servers, browser extensions, SDKs, and provider-key presence across the fleet.

  1. Scan
  2. Inventory
  3. Snapshots
  4. Changes

Each snapshot starts with bounded local discovery. KeepRails normalizes identities before it compares state, so every change points back to what the collector actually observed.

What the loop produces

One fleet inventory, with history

Every snapshot feeds the same normalized inventory, change history, and status board.

The KeepRails evidence register on the Northwind Labs demo account: SOC 2, ISO 42001, and NIST framework control-coverage cards above control-grouped tool evidence, each entry marked observed or inferred.
The register: control coverage, then the tool evidence behind it.
KeepRails Overview status board on the Northwind Labs demo account, showing framework readiness cards and a needs-attention feed.
The status board built on top of it, with what needs attention next.

Inventory

Inventory

Normalize what was observed, where it came from, and what the collector did not scan.

Nothing in this stage ships yet. It is described here because the loop needs it, not because you can buy it today.

Snapshots

Snapshots

Store comparable fleet snapshots with ownership and declared scan boundaries.

Changes

Changes

Surface added, removed, changed and running-state events; export evidence views when needed.

Nothing in this stage ships yet. It is described here because the loop needs it, not because you can buy it today.

The loop starts on one machine

keeprails scan