The AI Trap: SAP Data Remains Private

The era of generative and agent-based AI represents a technological shift that is radically transforming our software and infrastructure stacks. But especially when it comes to business-critical SAP data—from sensitive financial metrics and patents to complex supply chain structures—the unthinking use of „public AI“ from hyperscalers’ clouds poses a massive business risk. By relying on proprietary ecosystems, companies are putting themselves at risk of dangerous vendor lock-in.

Just how real this threat is became clear when Anthropic models disappeared from the market at short notice due to changes in U.S. export control regulations. Anyone who was completely dependent on these products at that moment was left with nothing. Business continuity was acutely threatened, and critical business processes ground to a halt from one minute to the next.

Cost Trap and Loss of Control

On the other hand, there is a risk of a drastic loss of control, which leads directly into the “egress trap.” Data transfer fees charged by hyperscalers can easily account for 30 to 50 percent of monthly costs, compounded by unpredictable pay-per-token models. Another critical issue is corporate security and compliance: With public cloud services, SAP users are merely renting computing power and handing their data over to a third-party “black box.” Business processes can thus neither be reliably secured nor audited.

The logical and only sustainable solution to this dilemma is „Private Enterprise AI“ and the pursuit of digital sovereignty. „Private“ by no means refers solely to operation in a private cloud, but rather to keeping AI entirely under one’s own control. This approach ensures that access to the model is never revoked and that data compromises by third parties are ruled out. Whether in your own data center, at the edge, or in a dedicated cloud: sovereign AI means absolute control over hosting, models, and infrastructure. Private Enterprise AI safeguards your intellectual property, ensures compliance with the EU AI Act, and still allows you to benefit from the enormous efficiency gains of modern AI.

Secure AI Infrastructure with SUSE

To make this vision a reality and move beyond the „POC playground,“ SUSE offers the SUSE AI Factory, a highly secure and scalable infrastructure platform. It enables the seamless deployment of AI solutions without compromising data control. As a software layer based on SUSE Rancher Prime, it replaces error-prone integrations of open-source tools with a „digital production line.“ IT teams no longer waste resources on infrastructure maintenance but instead focus on creating value. Thanks to zero-trust concepts, native SBOMs, and air-gapped deployments, even the most sensitive SAP financial and HR data can be processed with absolute security. In addition, companies are transitioning to a predictable CapEx model that maximizes the use of expensive hardware through GPU scaling.

However, a future-proof AI strategy absolutely requires an open and dynamic ecosystem of innovators. The IT partnership model is changing, as modern AI solutions often involve many different categories of providers. Specialized integrators such as Nova Intelligence serve as indispensable solution architects in this context. They bridge the gap between secure AI infrastructure and actual business applications. They combine the capabilities of local LLMs with the reality of existing SAP landscapes to automate use cases. While Suse AI Factory provides the foundation for data sovereignty, these partners ensure that AI is deeply integrated into core processes and generates measurable added value from the company’s own data center.

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