Bank of Russia Publishes Methodological Recommendations No. 3-MR on AI Security for Financial Market Participants
The Bank of Russia has released methodological recommendations No. 3-MR dated 16 June 2026, providing detailed guidance on ensuring information security during the development and use of artificial intelligence systems in the financial sector. The document builds on the earlier Code of Ethics for AI in finance and integrates with existing risk management, operational resilience, and data protection frameworks already familiar to credit institutions and other market participants. It introduces standardized terminology for AI-specific threats such as hallucinations, data drift, and poisoned datasets while outlining six risk categories and a four-stage AI system lifecycle model. Organizations are advised to apply threat modeling based on FSTEC methodology, implement proportional controls across data preparation, development, training, and operation phases, and maintain human oversight for high-risk automated processes. Special attention is given to supply chain risks involving third-party vendors and open-source components, requiring due diligence, provenance tracking, and contractual safeguards aligned with existing outsourcing standards. The recommendations remain non-binding yet signal clear regulatory expectations that are likely to influence future compliance checks and audits.
HabrJul 28, 2026Translated from Russian