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Beyond LLMs – Code, Agents & the Future of AI Innovation

While Large Language Models (LLMs) have dominated recent advances in AI, the next wave is already on the horizon. This session explores emerging model architectures, autonomous agent systems, and the transformative role of Code AI in automating software development. From intelligent development assistants to self-improving multi-agent ecosystems, we’ll dive into how these technologies are redefining both AI capabilities and developer workflows.

Presentations:

The Good, the Bad and the Ugly - Security between AI and Software Development

This talk provides an overview of the relationship between AI, software development and security. It highlights the various aspects associated with the new possibilities: How can AI support development and how can this happen securely? How can systems with AI components themselves be developed and operated securely? What new vulnerabilities need to be considered? And, last but not least: What opportunities does AI offer for attackers?