Reproduce “Securing Agentic Commerce Through Behavior-Aware Fraud Detection and Cybersecurity for Trusted AI-Agent Payment Authorization” on OpenResearch
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About this paper
Kayode L. Ogunsusi
ACAGS adds behavioral and delegated-authority checks to payment authorization, combining fraud-risk estimates with checks on agent identity, limits, and scope to produce approve, review, or reject decisions. Across 10 paired runs on synthetic transactions with simulated agents, mean F1 rose from 52.12% to 67.49% with behavioral features, then to 69.46% with agent-specific features. Compromised-agent detection was 72.27%; production performance was not tested.
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