Hacks, data breaches, ransomware... you keep hearing about it in the news. To effectively protect your business and/or software, you need to know where the vulnerabilities are. And what better way to find out than by attempting to hack yourself? In this session, we will explore how hackers operate and which tools you can use to hack (your own) applications. Additionally, we will examine the most common types of vulnerabilities, how to practice exploiting them, and what measures can be taken to prevent them. With the rise of AI a whole new attack surface has emerged - how is it being used to hack? Last but not least, I'll share tips on keeping your colleagues alert by applying Social Engineering.

Concerned about data privacy or compliance? Don’t want your sensitive information sent to external AI systems? This session is for you! We’ll explore retrieval-augmented generation (RAG), a method to enhance large language models (LLMs) with your specific, ever-changing data, without it ever leaving your systems. You’ll learn: What is a vector database? How can you vectorize your own data? How to integrate your existing data sources, like SQL databases, to enrich AI interactions. We’ll implement RAG step-by-step, running AI models locally (on the “edge”) while maintaining full control over your data. By the end of the session, you’ll know how to build an AI assistant that uses your private and volatile data, all without relying on external cloud services. Or isn't the cloud a scary thing? We rely on Azure for all our workloads, so let's also take a look on what the cloud can add to this equation.