A Method for Assessing the Financial Risks of Organizations Based on the Implementation of Isolated Multiagent Arbitration

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.