Author

Lukasz Szpruch

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Preprint Aug 2026

Poisoning Agentic Alpha: Adversarial Vulnerabilities Across Roles and Architectures in Multi-Agent Trading Systems

This paper presents the first systematic empirical study in the financial domain to characterize how an adversarial signal enters a multi-agent trading system and how far it survives toward the decision, and evaluates four communication topologies under data- and agent-level attacks.

CheolWon Na, Hao Ni, Lukasz Szpruch et al. · 0 citations

Jul 2026

Underwriting the Agent Economy: The Blueprint for an AI Insurance Stack

This report argues that affirmative AI coverage with limits in the billions is achievable by 2030, but only with industry-wide coordination, and lays out an eight-component AI insurance stack spanning incident data collection, catastrophe modeling, standards, contract design, risk selection, pricing, monitoring, and claims management.

Cristian Trout, Sanmi Koyejo, S. Romanosky et al. · arXiv.org · 0 citations