arXiv AI By Dishant Sharma, Rajneesh Kaushal, Ashu Kanaujia

Issuer-Sovereign Agentic Payments

Read the original on arXiv AI →

The paper introduces Issuer‑Sovereign Agentic Payments, a framework that keeps the issuing bank in control of AI‑agent payments. It allows a cardholder to set a spending rule once, which the bank’s authentication system records. When an AI agent initiates a payment, the bank verifies the merchant against the approved rule and generates the card authentication value only if the merchant is permitted, enabling the transaction to proceed through standard card rails without additional dependencies.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv AI
Sep 2

A Formal Analysis of Agent Payment Protocols

The paper presents a formal analysis of four agent payment protocols—x402, MPP, ACP, and AP2—using the Tamarin prover. By modeling each protocol’s roles, state, and trust assumptions, the authors verify 86 cases, reproducing 46 known results and uncovering 40 new formal-consistency findings. They further validate ten findings through implementation proofs of concept, SDK/schema witnesses, and executable traces, highlighting the importance of consistent delegated authorization across all protocol stages.

By Ke Jiang, Mohan Yu, Yuan Chang, Mohit Kumar Jangid, Jianyu Niu, Cong Wang, Yinqian Zhang
arXiv AI
4d ago

Agentic Commerce Bench: Measuring Fraud Detection for Agents That Spend Money

The paper introduces the Agentic Commerce Bench (ACB), a benchmark for measuring fraud in AI agents that autonomously spend money. It presents a taxonomy of agentic commerce fraud, a dataset of twenty fraud classes derived from real production data, and an open‑source detector stack called gordonguard for auditing and replaying hostile counterparties. The study shows that current reasoning layers and security scanners perform poorly on many classes, highlighting the need for better detection mechanisms.

By Ankit Srivastava, Debjyoti Paul