Tower (AI protection) · AI Console

The enterprise AI console your team will actually use.

A chat your people want. A record your auditor accepts. One console for every approved model, running inside your cloud. People get the models they would have used anyway; every message is checked, redacted where needed, and on record.

Runs inside your AWS, GCP or Kubernetes install.

Last reviewed

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Illustrative. No customer data.

The difference

Their way, and ours.

Their wayRaidu
Ban public chat tools and watch people use them anyway.Give them a better one, with every model you approve.
One model per tool, one log per vendor.60+ providers and 467 models, behind one policy stack.
Personal data goes to the provider as typed.Personal data is replaced with codes in your cloud; the model sees PERSON_1.

60+ providers and 467 configured models, every message checked by the same 61 policies, in a console that runs in your own cloud.

Source: Tower model registry and console policy service

The record

The session, on the record.

Every message the console governs becomes a tamper-evident audit record, chained to the one before it.

Record 9,047 AI Console session · 10:41:33Z
Prompt (as sent)
"Book a call with [PERSON_1] about the Q4 rollout."
Entities masked
PERSON (1 masked)
Model
gpt-4o · azure-openai
Verdict
Allowed
Proof
Tamper-evident, on record
sha256 2972fe052ea2de5528c6ca88088c5efe…
entry 9,047 of 21,635 · write-once

The call path

Where the console acts.

  1. InterceptEvery console message and SDK call
  2. ResolveWho, which model, which data
  3. Inspect79 personal-data and credential types
  4. DecideRedact or allow
  5. ProveTamper-evident, write-once record

Also covered

  • Model choice
  • Data redaction
  • Prompt library
  • Knowledge bases
  • Model Arena

Common questions

Answered straight.

Which models are available?
60+ providers and 467 models, configured out of the box, including OpenAI, Anthropic, Google, Bedrock, Ollama, Groq and Mistral. You choose which are enabled.
Does the provider see personal data?
No. Detected entities are replaced with coded stand-ins before the call reaches the model.
Can we bring our own knowledge?
Yes. Knowledge bases add citations to answers.
How do people sign in?
SSO through SAML, OIDC or Google Workspace, with MFA and SCIM provisioning.

Related

The chat they want. The record you need.

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