# Seismic Expands Global AI Governance with Azure and Linux Solutions

> By leveraging Linux on Azure, Seismic is setting a new standard for enterprise AI, delivering trusted solutions that prioritize governance and compliance across global markets.

**Source**: microsoft.com | **Published**: 2026-10-29 | **Type**: case_study

## Key Facts

- Seismic's use of Azure and Linux enhances AI governance, crucial for enterprise compliance needs.
- Global scale of AI deployment indicates strong demand for secure, sovereign solutions in enterprise markets.
- Leveraging Azure OpenAI positions Seismic competitively against firms lacking robust AI infrastructure.
- Consistent Linux foundation reduces operational risks, potentially lowering costs and improving margins.
- Focus on regional data requirements signals a strategic shift towards localized AI solutions in global markets.

## Summary

\## Summary
Seismic, a global enterprise, faced challenges in delivering generative AI solutions that met stringent governance and security requirements. By deploying a consistent Linux foundation on Azure, including Azure OpenAI and Document Intelligence, Seismic achieved trusted and traceable AI capabilities. This deployment enabled them to support customers' sovereignty and regional data needs effectively.

\## Background
Seismic is a global enterprise specializing in sales enablement solutions. Before the deployment, the company needed to ensure that their AI offerings complied with various governance and security standards while also addressing the diverse needs of their international customer base.

\## Challenge
Seismic aimed to solve the problem of delivering generative AI solutions that were not only effective but also compliant with strict sovereignty, governance, and security requirements across different regions.

\## Solution
Seismic implemented a robust infrastructure on Azure, utilizing Linux on Azure, Azure Linux, Ubuntu, AKS, Azure OpenAI, and Document Intelligence. This setup created a consistent foundation that allowed for the development and deployment of governed AI solutions across multiple regions.

\## Results
The deployment enabled Seismic to deliver trusted and traceable AI at a global scale, effectively addressing the sovereignty and regional data requirements of their customers.

\## Key Insights
Enterprises looking to deploy AI solutions must prioritize governance and security to meet diverse regional requirements. A consistent infrastructure can facilitate compliance while enabling innovation.

\## Customer Testimonial
No testimonial was provided in the source material.

## Entities

- **Companies**: Seismic, Microsoft
- **Products**: Aura, Azure, Azure Linux, Ubuntu, AKS, Azure OpenAI, Document Intelligence
- **Technologies**: generative AI, Linux

## Key Concepts

generative AI, sovereignty, governance, security, global scale, traceable AI, regional data requirements, consistent foundation

## Definitions

- **generative AI**: A type of artificial intelligence that can generate new content based on learned patterns from existing data.
- **sovereignty**: The authority of a state to govern itself and make decisions regarding its own affairs.
- **governance**: The framework of rules and practices by which an organization ensures accountability, fairness, and transparency.
- **traceable AI**: AI systems that provide clear documentation and accountability for their decision-making processes.
- **regional data requirements**: Specific regulations and standards that govern how data is managed and stored in different geographical areas.

## Use Cases

- supporting customers' sovereignty
- ensuring governance and security in AI applications
- creating a consistent foundation for AI across regions
- delivering trusted AI solutions
- managing production workloads on Azure
- utilizing Linux for enterprise AI infrastructure

## Frequently Asked Questions

**What is the significance of using Linux on Azure for enterprise AI?**

Using Linux on Azure provides a stable and consistent foundation for deploying AI solutions. It ensures that enterprises can meet their governance and security requirements while leveraging the scalability of Azure.

**How does Seismic ensure the traceability of its AI solutions?**

Seismic implements frameworks that document the decision-making processes of its AI systems. This traceability is crucial for maintaining trust and accountability in AI applications.

**What are the benefits of generative AI for enterprises?**

Generative AI allows enterprises to create new content and insights based on existing data, enhancing innovation and efficiency. It can be tailored to meet specific business needs while adhering to governance standards.

**What role does Azure OpenAI play in Seismic's offerings?**

Azure OpenAI provides advanced AI capabilities that Seismic integrates into its solutions. This enhances the functionality and effectiveness of their AI applications while ensuring compliance with security and governance requirements.

**Why is regional data compliance important for enterprises?**

Regional data compliance is essential for protecting sensitive information and adhering to local regulations. It helps enterprises avoid legal issues and build trust with customers by ensuring data is managed responsibly.

## Links

- [Read on Welcome.AI](https://welcome.ai/content/seismic-expands-global-ai-governance-with-azure-and-linux-solutions)
- [Original source](https://www.microsoft.com/en/customers/story/27567-seismic-linux-on-azure)

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Source: Welcome.AI | https://welcome.ai/content/seismic-expands-global-ai-governance-with-azure-and-linux-solutions