Many development teams want AI assistance but need to keep sensitive code and data on-premises. Here’s how to implement AI tools while maintaining data security and privacy.

The Challenge

Public AI services often require sending data to external servers, which creates compliance and security concerns for many organizations. The solution isn’t avoiding AI tools—it’s implementing them securely.

Local AI Solutions

On-Premises Models

Run AI models directly on your infrastructure. Options include: