In today's digital world, strong data and AI governance is essential for the success and security of companies. This is not just about adhering to the compliance requirements of the AI Act, but also about utilising the business potential of AI sustainably through targeted management.

In our webinar on 25 September at 2 pm, we will show you how to move from "Data Governance" to "Data and AI Governance". You will learn which steps are now necessary with regard to the AI Act. We will explain how you can identify assessment gaps and, above all, how you can adapt existing resources, processes and documentation to create synergies. We highlight the importance of a clear roadmap by showing how the evolution from data governance to AI governance addresses new AI challenges. Finally, we present a holistic governance strategy that will strengthen your organisation. 

Join us and shape the future of your company!

The integration of Large Language Models (LLMs) into your applications requires the consideration of new security aspects. If you are or will soon be a stakeholder in a Generative AI project, this free webinar on 08 October at 2 pm just the right thing for you. 

Our [at] experts Constantin Sanders and Dustin Walker explain to you Using practical examples, which new attack vectors exist, how these attacks work and what risks they harbour. They will also introduce you to the latest techniques that you can use to protect your (LLM) application. The focus here is on the potential dangers of prompt injection and the misuse of LLMs. Our experts will also show you how you can effectively protect your application. A particular highlight is the decision tree created by [at]. This helps you to quickly and effectively determine which security aspects are relevant for your specific project. With this tool, you can take targeted measures and significantly increase the security level of your GenAI applications.

Register now to learn how to successfully implement LLM security in your project and thus create the basis for secure and high-performance GenAI applications.