In our magazine article you’ll find an overview of all new features: from secure processing of sensitive documents to the integration of the latest AI models. Each enhancement gives you more control and opens up new possibilities to use AI on your terms.
With our integrated Data Loss Prevention (DLP), we check not only chat content but also documents for sensitive data. Only after careful anonymization do we provide the texts to the AI model (LLM).
This lets you use confidential content safely — even in highly regulated environments.
The LLM works on the anonymized texts, not on the complete, potentially personal original documents. This makes it possible to implement AI-driven scenarios in strictly regulated areas without compromising data protection and compliance.
With OpenAPI and MCP support, you can integrate your systems into VARIOS AI on your own — no presets or external assistance required. You choose which internal and external data sources to use and expand your assistants’ knowledge base step by step.
This increases the reliability of responses and unlocks new use cases. OpenAPI and MCP are the foundation for a custom, growing AI ecosystem — independent, modular, and at your own pace.
VARIOS AI now lets you process documents directly using your configured embedding model. This gives AI models access to document content that previously could not work with files.
Whether you run the models in Azure, your private cloud, or on-premises, all processing — from vectorization to retrieval — is performed in a data-protection-compliant way within your infrastructure.
Security that enables innovation.
VARIOS AI now supports the latest Google model generation with an extended focus on Gemini 3 Pro Image. A specially developed connector integrates the image capabilities — image analysis and image generation — directly into VARIOS AI.
The latest update places a clear emphasis on data sovereignty, flexibility, and modernization.
By decoupling document processing and offering the option to use local embedding models, the risk of data leakage is minimized. In addition, the new processing of anonymized documents enables secure analysis of even sensitive content, opening up entirely new application areas.
At the same time, organizations gain maximum independence through the opening of the OpenAPI and MCP interfaces: external systems and data sources can now be connected independently and without support effort. The release is rounded off by technical support for Google Gemini 3 Pro, including the new image AI, ensuring access to the latest model generations.