# toani.ai

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## The Trust Infrastructure for Autonomous AI Agents

Welcome to the [toani.ai](https://toani.ai) Documentation Hub.

[toani.ai](https://toani.ai) builds the critical trust layer between humans and autonomous AI agents. As AI agents become economic actors that manage credentials, execute tasks, and initiate payments, they need infrastructure for secrets management, policy enforcement, and compliant settlement. toani.ai provides this infrastructure through three complementary products.

## The Three Products

<table><thead><tr><th width="172.916015625">Product</th><th width="278.591796875">Core Question</th><th>Key Technology</th></tr></thead><tbody><tr><td><a data-mention href="/pages/BtimL5ILhS04DXAmLi1t">/pages/BtimL5ILhS04DXAmLi1t</a></td><td>How does an Agent securely authenticate?</td><td><ul><li>TEE isolated execution</li><li>AES-256-GCM encryption</li><li>zero-knowledge architecture</li></ul></td></tr><tr><td><a data-mention href="/pages/UWOFayb7iN4YIVXoZTYf">/pages/UWOFayb7iN4YIVXoZTYf</a></td><td>What is an Agent allowed to do?</td><td><ul><li>Policy engine</li><li>risk tiering, HITL approval</li><li>cryptographic audit</li></ul></td></tr><tr><td><a data-mention href="/pages/CvbXcR5Iud5R0fUT2T4p">/pages/CvbXcR5Iud5R0fUT2T4p</a></td><td>Is this transaction compliant and authorized?</td><td><ul><li>Bidirectional KYC/KYT</li><li>AP2 intent control</li><li>x402 on-chain USDC settlement</li></ul></td></tr></tbody></table>

The three products are complementary: Vault protects credential security, Control constrains execution boundaries, and Facilitate ensures transaction compliance. Enterprises can adopt them individually or in combination.

## Cross-Product Resources

* [Platform Security Foundations](/about-toani/platform-security.md): Shared security primitives, TEE fundamentals, cryptographic selections, and the three-product comparison matrix.

> Ready to get started? Pick a product above and jump to its Getting Started guide.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.toani.ai/about-toani/toani.ai.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
