How Open-Source AI Empowers Enterprises: Security, Control, and Performance

How can enterprises leverage AI without exposing sensitive data? 

Your sensitive data gets exposed when you are using a third-party application that leaks data. This includes the AI models: Samsung banned ChatGPT after a sensitive data leak. Many enterprises distrust external AI systems that might use submitted data for their own model training. 

But we don’t want to miss out on the productivity, performance and accuracy gains that AI and AI apps can give us. The solution is to host your own AI model. At present, that is only possible if the model is open source (also called sometimes, open weights). For a long time, the challenge with open-source models was that they lacked the capabilities of proprietary models. However, advances in open-source models have brought their performance closer to that of proprietary, closed-source alternatives.

This chart showcases open-source model performance.

These advances makes open-source AI an excellent choice for building on-premises, air-gapped AI systems that are secure, prevent data leaks, and integrate seamlessly with in-house tools like SWIRL AI Search and SWIRL AI Assistant. SWIRL can connect to enterprise applications and multiple AI models including the latest open-source ones, giving you the AI edge while making sure that everything is secure. 

How SWIRL works with Open-Source AI Models to Build a Secure Enterprise AI System 

We’re witnessing a surge in powerful open-source AI models, with plenty of guides on hosting, fine-tuning, and deploying them. However, one critical piece is still missing—how to seamlessly connect these models with enterprise data across apps, databases, and other data sources. Without this integration, AI remains underutilized, unable to analyze, summarize, search, and provide meaningful insights that drive real business value. 

When you host your own AI models on your servers, you gain full control over costs, security, and performance while making possible seamless integration with your existing systems—if you’re willing to do the engineering work. Fortunately, SWIRL connects your AI models to the data sources without it becoming a complex engineering project. You get a full end-to-end solution for your AI needs. 

Here’s why it makes sense: 

• Everything is in house – SWIRL is hosted in your firewall and easily connects to your self-hosted AI models and apps. Everything stays within the firewall and is secure.
• Faster, More Reliable Performance – By using SWIRL with hosted AIs you eliminate reliance on cloud AIs, and their outages and downtimes. You also enable real-time AI applications with minimal latency.
• Maintain Data Security & Compliance – SWIRL keeps sensitive data in-house, reducing the risk of leaks and ensuring adherence to regulations.
• Seamless Integration – With SWIRL you don’t have to worry about building connectors to your apps or AI models. We already support more than 100 apps and more than 50 AI models, and we are adding more connectors with every release.

Open-source AI gives enterprises cutting-edge performance without vendor lock-in, but the true value comes when AI securely connects to enterprise data. SWIRL makes this possible—bringing AI to your data with no data movement (Zero ETL), full security, and seamless integration.  

If you are looking for how to use AI in your company. SWIRL is the answer. We provide AI Search and AI assistant for internal enterprise data. Everything is secure.  

We offer a 30-day free trial, or request a demo to get started.