The schedule reflects a deliberate dramatic arc. The morning builds intellectual pressure through keynotes and a formal debate that forces the room to commit. The afternoon releases that energy into applied labs, structured workshops, and competitions. The closing synthesizes everything into a published artifact.
Meaningful conversation happens in-between the talks. Shorter, focused, TED Talk like sessions keep audience attention and engagement high and longer breaks create the networking time where the real conference happens.
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September 18. The full-day program below.
Professor David Hoffman, Duke Sanford School of Public Policy will discuss United States AI legal, policy and regulation with US Congresswoman Deborah Ross.
A cyber-attack using agentic agents will be conducted to present how threat actors can leverage AI for malicious activity. Information will be presented on the type of analysis that can be conducted to detect this type of activity.
Speakers:
A tabletop exercise scenario of an agentic agent conducting an attack against a victim organization will be presented. The speakers will provide information on the actions that leaders should be taking before, during and after a breach event to mitigate the impact. The recent OpenAI agentic agent breach of Hugging Face will be discussed.
Speakers:
This panel brings together practitioners securing AI at each layer of the stack to discuss the unique risks introduced by generative and agentic systems. Discussion on data poisoning and model theft at the infrastructure level, prompt injection and insecure tool-calling in the integration layer, and hallucination or unauthorized action at the application layer.
Speakers:
As AI capabilities outpace the frameworks meant to govern them, security and technology leaders face a distinct challenge, making high-stakes decisions under uncertainty, often without established playbooks or regulatory clarity. This panel brings leaders navigating that reality, balancing the pressure to adopt AI for competitive advantage against the need to protect data, systems, and trust. Risk appetites and governance structures and translating technical AI risk into terms a board or C-suite can act on will be covered.
Speakers: