Applied Hacking: AI Systems - (Salt Lake City, UT)

​In-person, learn how real attackers break AI systems. A practical, case-study-driven masterclass with demos and actionable techniques. LIMITED SEATS.

​Applied Hacking: AI Systems is a fast-paced, hands-on masterclass built for engineers, security leaders, founders, and practitioners who want a real understanding of how attackers target AI systems today.

​This is masterclass-level content from our last two days of internal training.

​In just 60 minutes, we’ll walk through real case studies, break down how AI features are abused in the wild, and analyze the actual attack paths used against LLMs, agents, and AI-powered applications.

​You’ll see practical demonstrations that reveal how AI systems fail, why they fail, and how attackers chain multiple weaknesses together.

​This session is based on real consulting work, offensive security research, and live red-team engagements across many AI stacks. Everything we cover is grounded in the real world not theory.

​By the end, you will clearly understand:

• ​How attackers think about AI systems

• ​What makes LLMs, agents, and AI pipelines vulnerable

• ​How to assess real AI applications for weaknesses

• ​What defenses actually work (and which ones fail)

• ​How to prepare your team for AI-driven attacks that are becoming common in 2025 - 2026

​Whether you’re building AI features, securing them, or leading a team that depends on them, this masterclass gives you a practical, no-nonsense view of the risks and the confidence to address them.