Tower (AI protection)

AI accountability for every model, every agent, every call.

Every call to a model, checked, explained and recorded. Tower sits in the path between your people, apps and agents and every model they use, inside your own cloud. It redacts what should not leave, refuses what breaks policy, and writes every decision to a tamper-evident record.

Runs inside your AWS, GCP or Kubernetes install.

Last reviewed

Illustrative. No customer data.

Watch

Tower, start to finish

The difference

Their way, and ours.

Their wayRaidu
Ban public AI and watch it happen anyway.An AI console with every model you approve.
Guardrails in someone else's cloud.Guardrails in yours, in your own cloud.
Logs an admin can edit.Write-once records, hash-chained and tamper-evident.
Spend found at month end.Budgets and alerts before the invoice.

61 guardrail policies run on the whole prompt, across 467 models, in your cloud, and every decision is SHA-256 hashed and chained to the one before.

Source: Tower product code: policy registry, model registry and signing services

The product

See the screens.

Product windows from the films, with sample data. No customer data.

Common questions

Answered straight.

How much latency does Tower add?
Checks run inline inside your own cloud. Latency is measured on your own traffic during the working session.
Which models does Tower support?
60+ providers and 467 models, configured out of the box.
Where does my key live?
In your own cloud key management service. The private key never enters the Raidu process.
What sign-in methods does Tower support?
SAML, OIDC, Google Workspace, MFA and SCIM provisioning.
How is Tower deployed?
AWS via CloudFormation and ECS Fargate, GCP via Terraform, or any Kubernetes cluster via Helm. One dedicated install per customer; no Raidu-operated shared service.

Say yes to AI. Keep the record.