 A Method for Assessing the Financial Risks of Organizations Based on the Implementation of Isolated Multiagent ArbitrationE. Piskun (), A. Azizov and E. Krychev Digital Transformation, 2026, vol. 32, issue 1 Abstract: This article examines the problem of reducing the financial risks of economic entities in the context of the large-scale implementation of autonomous intelligent agents. It demonstrates that existing security threats to systems with large language models, such as steganographic injections and search-based augmentation generation, are transforming from technical incidents into significant operational risk factors capable of causing direct economic damage amounting to millions of dollars. A financial risk assessment method is proposed based on the total cost of ownership objective function, which includes operating costs and expected annual losses, as well as a discounted analysis for investment justification of security measures. The Isolated Multiagent Arbitration architecture is considered as a practical implementation. It implements the principle of layered protection and isolation of generation from execution and includes a deep file inspection module, a custom auditor model for post-generation response analysis, and a mechanism for dynamically assessing the trustworthiness of sources in search-based augmentation generation. Date: 2026 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:abx:journl:y:2026:id:1005 DOI: 10.35596/1729-7648-2026-32-1-33-44 Access Statistics for this article More articles in Digital Transformation from Educational Establishment “Belarusian State University of Informatics and Radioelectronics†|
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