Stellantis partners with Microsoft on 100-plus AI initiatives spanning cybersecurity, product development and operations

Stellantis signed a five-year deal with Microsoft to build 100+ AI projects covering cybersecurity, vehicle maintenance, and product development. The company will also cut its data centre footprint by 60% by migrating to Azure.

Categorized in: AI News IT and Development
Published on: Apr 18, 2026
Stellantis partners with Microsoft on 100-plus AI initiatives spanning cybersecurity, product development and operations

Stellantis and Microsoft to co-develop 100+ AI initiatives across operations

Automotive manufacturer Stellantis signed a five-year agreement with Microsoft to develop cloud and cybersecurity capabilities and more than 100 AI projects spanning customer service, product development and operations.

The partnership will focus on predictive vehicle maintenance, cyberthreat detection, product validation and testing, and strengthening response capabilities across Stellantis' global operations.

Security and infrastructure overhaul

Stellantis will deploy an AI-driven global cyberdefence centre using Microsoft's security platform to protect IT systems, manufacturing sites, digital products and connected vehicles. The company will embed safeguarding measures into digital vehicle experiences, mobile applications and in-vehicle services-a priority for Jeep drivers operating in remote terrain where connectivity and data protection are critical.

The manufacturer will migrate to Microsoft Azure cloud and reduce its data centre footprint by 60 per cent by 2029. All Stellantis employees now have access to Microsoft Copilot Chat.

What this means for development teams

Ned Curic, chief engineering and technology officer at Stellantis, said the collaboration accelerates AI adoption across the enterprise. "Through our collaboration with Microsoft, we are accelerating our AI momentum across the enterprise, giving our teams the tools to innovate faster and deliver the products, services and experiences customers expect from us."

For IT and development professionals, the scale of this deployment-affecting millions of drivers and spanning global manufacturing operations-demonstrates how enterprise AI integration requires coordinated cloud migration, security architecture and workforce enablement.

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