arXiv:2606. 17555v1 Announce Type: cross Abstract: Banks simultaneously face signature-based fraud (card-not-present attacks, account takeover, ATM cloning) and behavioural financial crime (structuring, layering, mule networks, business email compromise) -- two threat families with fundamentally different detection requirements.
By Joseph Walusimbi, Joshua Benjamin Ssentongo
FraudBench is a new benchmark that tests policy‑grounded banking conversational agents against adaptive fraud scenarios. It uses a dual‑control framework and a 698‑document internal policy corpus, presenting 150 adversarial scenarios (107 public, 43 held‑out) that require agents to manage mutable account state and tool access while preventing identity, authorization, and trust manipulation. Preliminary results on four agents show attack‑security rates between 49% and 65%, highlighting weaknesses in money‑mule and first‑party fraud detection.
By Dheeraj Mohandas Pai, Lu Xian
arXiv:2607. 19266v1 Announce Type: cross Abstract: Fraud detection systems must scale with rising transaction volume while remaining explainable and reviewable.
By Rahil Sharma
arXiv:2609.15319v1 Announce Type: cross
Abstract: Frontier models score well on shallow document/chart reading tasks. In a controlled data-room audit, moving evidence into buried conditions reduced a...
By Luis M. S\'anchez
As autonomous AI agents increasingly transact across organizational boundaries, a fundamental trust challenge emerges: how can an agent assess whether an unknown counterpart is trustworthy? The ERC-8004 protocol addresses this challenge with the first permissionless trust layer for AI agent economies, built around three on-chain registries for Identity, Reputation, and Validation.
arXiv:2606. 26028v2 Announce Type: replace-cross Abstract: As autonomous AI agents increasingly transact across organizational boundaries, a fundamental trust challenge emerges: how can an agent assess whether an unknown counterpart is trustworthy?
By Xihan Xiong, Zelin Li, Wei Wei, Qin Wang, William Knottenbelt, Zhipeng Wang