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Cyber-Financial Contagion: Modeling the Propagation of an AI Vendor Compromise Through the Banking System

Paper recorded by Signals 4 on 2026-09-09 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-09 on arXiv · recorded by Signals 4 on 2026-09-10

Category: cs.AI · 人工智能 · first seen 2026-09-10

Abstract

The banking system now depends on a small set of shared artificial intelligence vendors for fraud screening, credit decisioning, anti-money-laundering triage, customer analytics, and internal decision support. This paper studies how a compromise inside one of those vendors can propagate along a chain of operational, informational, and financial linkages until it triggers losses that look, from the

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#133 most recent of 300 cs.AI papers we have recorded · ↑ newer: OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clini · ↓ older: Beyond One-Size-Fits-All: Sample-Adaptive Strategy Routing for Vision
Cite this page: Cyber-Financial Contagion: Modeling the Propagation of an AI Vendor Compromise Through the Banking System: the #133 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cyber-financial-contagion-modeling-the-propagation-of-an-ai-vendor-compromise-th.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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