A Generative Approach to Modeling Emergent Threats in Multi-Agentic Systems
November 8, 2025
1:20PM
Barnett Aden
About this session
Modeling threats in multi-agentic systems is hard—combinatorial explosions, cross-layer interactions, and emergent agent behavior render traditional methods ineffective. This session introduces generative AI–driven pre-mortem storytelling using MAESTRO’s 7-layer stack and OWASP’s taxonomy to address these challenges. It also explores grounding techniques to improve accuracy and ensemble voting to mitigate LLM judgment errors.
About the speaker
About the speakers
Vikramaditya holds a Master’s from Carnegie Mellon and is an Azure-certified AI Engineer. He built the prototype for an AI governance system that secured YC funding. Vikramaditya is now leading work on multi-agent threat modeling, using LLM-driven pre-mortems across layered agentic architectures to uncover emergent risks.
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