> For the complete documentation index, see [llms.txt](https://trustcenter.syntphony.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://trustcenter.syntphony.com/products/syntphony-ai/conversational-ai-agents/infrastructure.md).

# Infrastructure

**Syntphony Conversational AI** benefits from the combined capabilities of Google Cloud and Microsoft Azure, leveraging the best of both platforms. This dual-cloud strategy allows **Syntphony Conversational AI** to utilize the innovative AI and data analytics tools of Google Cloud alongside Azure's enterprise-grade infrastructure and global reach. This hybrid approach ensures flexibility, scalability, and a robust infrastructure to support the needs of diverse clients.

GCP and Azure employ industry-leading security controls and are extensively audited. Both hold multiple certifications, including SOC2 Type II, ISO 27001, and PCI. For more information about their security practices, see below:

{% embed url="<https://cloud.google.com/security>" %}
GCP Trust Center
{% endembed %}

{% embed url="<https://www.microsoft.com/en-us/trust-center>" %}
Azure Trust Center
{% endembed %}


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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://trustcenter.syntphony.com/products/syntphony-ai/conversational-ai-agents/infrastructure.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.