Use case · Shadow AI
A developer tries a new AI tool. It isn’t in the inventory. Raidu flags it before the first prompt reaches a model, and asks for registration.
Runs inside your AWS, GCP or Kubernetes install.
Last reviewed
Illustrative. No customer data.
The difference
How Raidu handles it
Every SDK call, console session and agent run passes through Tower. The calling app and model are checked against the inventory.
If the app, agent or model is not in the inventory, Tower flags it as a shadow-AI signal. The call can be allowed with a warning or blocked, depending on your policy.
The developer sees a plain message: this tool is not registered. They open AI Inventory, set the risk tier, intended purpose and data categories, and the next call goes through normally.
Products that do it
Every app, agent, model, provider and tool in one list. New assets are flagged when they appear outside the inventory.
Read more ›61 registered guardrail policies run on every prompt before the model is called. A blocked prompt never opens a stream.
Read more ›Every signal and every registration decision lands on a tamper-evident, write-once record.
Read more ›The product
Product windows from the films, with sample data. No customer data.
The record
Every unregistered asset triggers a tamper-evident record. Nothing is lost if the team disputes it later.
Common questions