LLMs Under Attack
As companies increasingly deploy AI agents, their exposure to cyberattacks is also growing. The focus is shifting beyond traditional IT systems toward the AI models themselves, their prompts, and the data flows they rely on.
Enterprise AI
Retrieval-Augmented Generation (RAG) is widely regarded as the most pragmatic approach for connecting large language models with enterprise data in a secure, up-to-date, and traceable manner. This practical guide explains how to build a RAG pipeline, why analysts from Gartner and Forrester classify the technology as a strategic priority
Future Token Prediction Accelerates Gemma
Google Gemma 4 is getting a major performance boost through Multi-Token Prediction (MTP). The new approach allows local AI models to run up to three times faster without compromising output quality.
Why security matters
The use of Large Language Models (LLMs) in the cloud is fundamentally changing how organizations process knowledge, analyze documents, and prepare decisions. What began as a technical experiment has become a strategic tool by 2026, in legal departments, customer service, and public administration alike.
Best Practices
Since the discovery of LLMJacking by the Sysdig Threat Research Team (TRT) in May 2024, this threat vector has evolved rapidly. Just as large language models (LLMs) are constantly improving and finding new applications, cybercriminals are also adapting and using new ways to gain unauthorized access to these powerful
What is MetaGPT?
Project OpenGPT-X
GPT-4, Claude, Grok, Llama and Gemini: the most important AI language models all originate from the USA. With the OpenGPT-X project and the Teuken-7B language model, a European AI infrastructure is now to be established.
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