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AI Security in Practice: Threats, Attacks, and the AI Landscape
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AI Security in Practice: Threats, Attacks, and the AI Landscape

See how AI systems break in the real world, then learn how to spot the risks, model the threats, and choose security controls your team can use.

Who Is It For?

Designed for

Architects

Senior developers

Technical teams building agentic AI systems

What you bring to the table

Familiarity with LLM tools

Basic understanding of AI systems (RAG, chatbots)

Program

This workshop is built for technical teams working with LLMs, RAG, chatbots, and agentic systems. The course starts with modern AI architectures and the security risks they introduce, then moves into hands-on attack techniques, AI threat modelling, risk assessment, mitigation strategies, and the current tooling landscape.

Plant a seed before we lock it in

Have a specific AI security challenge, architecture question, or topic in mind? Share it with us and help us shape the course around real needs.

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Plant sprouting from soil, representing growth and learning
Jan Broniowski
Your Instructor

Jan Broniowski

Jan is a seasoned AI security expert, working at the intersection of AI and security for over a decade. He conducts AI threat modeling and red teaming, provides technical leadership, and strategic advisory. He led LLM security research groups, contributed to OWASP Top 10 for LLMs, advised Fortune 500 companies and now helps organizations assess and defend real-world AI deployments.

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