Raidu checks each AI call against your policy and keeps a verifiable record of each decision. Runs in your own cloud.
TowerSearchRuns in
your AWS account
#4,812
Record verifiedPII-MASK-029f2c…a71e9b10…c348Change one field and the hash stops matching. This demo uses a SHA-256 hash; Raidu signs each record with your own key.
#4,811Email held for approval#4,812This entry#4,813Model call allowed#4,814Tool call checkedIllustrative. No customer data.
Illustrative. No customer data.
Your AI
Tower checks each AI call against your policy before it reaches the model, and asks a person when your policy says so.
Tower ›Your proof
Each decision goes on a signed record, chained to the one before it, kept in your cloud for your auditor to verify.
Verify a sample record ›Your data
Wheelhouse finds sensitive data in the sources you connect. Tower adds data loss prevention for AI: it checks prompts, files and responses against your policy, masks or blocks the sensitive data your policy covers, and records each decision.
Data discovery ›AI governance that runs in your own cloud account, under your control: between your data, your people and agents, and the models they use.
Product names and logos belong to their owners. They show compatibility, not endorsement.
Install Raidu in your cloud account and connect your data stores, apps and model providers.
Find sensitive data in the sources you connect, and see the models, agents and apps you govern.
Apply your policy before each AI call, and route decisions to a person where your policy asks for one.
Every decision goes on a signed record with its rule and reason, ready for your auditor.
One place for the models your teams use, with your policy on each message.
Your policy runs before each call reaches the model, so a risky prompt is stopped, not just logged.
Sensitive data your policy covers is replaced with codes in prompts, and in documents before they are indexed.
Tool calls checked, and risky actions held for a named person to approve.
Secrets blocked in Cursor and Windsurf; Claude Code, Codex and GitHub Copilot in beta.
Per team, group or person, with alerts rather than hard stops.
The models, agents and apps that run through Raidu, with new entries flagged.
Each agent is registered with its team, and each call it makes is on the record under its name.
Each decision signed with your own key, re-verified weekly, with a daily independent timestamp.
An approved action runs only after its signed record is written.
Wheelhouse finds sensitive data in the sources you connect.
Installed from AWS Marketplace into your own account. Your keys, your records. Other environments: talk to us.
Customer data kept out of prompts, and a record of each AI decision to share with your examiners and model risk reviewers.
Banking and insurance ›Protected health information your policy covers is replaced with codes before a model sees it, with a record of each access for your compliance team.
Healthcare ›Budgets per student and lab, student data your policy covers kept out of prompts, and AI use on one record.
Universities and research ›One approved way to use AI across teams, with your policy on each call and a record of each decision.
Enterprise ›Client names are withheld under confidentiality.
The insurer built an agent to help adjusters gather documents, draft letters and prepare payments. Risk and compliance would not let it act on policyholder data or send anything outside without a person in the loop and a record they could show a regulator.
Read the case study ›Deployment, evidence and assurance, in place from the first install.
Raidu installs inside your own cloud account. Your data stays there, and Raidu has no access to it.
View on AWS Marketplace › Deployment ›
Another environment? Talk to us.
The records Raidu keeps, mapped to the regulations and standards your auditors ask about.
Meeting any regulation remains your organization's responsibility. Operating in India? See the DPDP Act page.
Assessments of the Raidu platform, not your systems. Reports are available under NDA.
For the buying committee: what it does, where it runs, what it records.
Read the brief ›Check a signed sample record in your browser, and see what happens when it is changed.
Verify a record ›Assessments, subprocessors, the DPA and how we handle security reports.
Visit the Trust Center ›Tell us what you need to prove and to whom. We will show you the record it produces.
