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.