Sber publishes updated public threat model for AI systems covering 37 threats and 51 attack methods

Sber

Industry media only 3 src. ~1 min

Sber released an updated cybersecurity threat model for AI systems on its public 'Kibrariy' portal, describing 37 threats and 51 methods of realizing them across the full AI lifecycle, including risks specific to generative models, multi-agent systems, and RAG/LLM adapters.

Why it matters

A major Russian bank publishing a detailed, open threat taxonomy for generative and agentic AI systems gives local AI developers and security teams a concrete reference framework, reflecting growing formalization of AI security practice in the Russian market.

Importance: 2/5

Notable security-governance document from a major Russian bank, media-only confirmation.

sber cybersecurity threat-model russia

Sources

media Sber opened access to its updated AI systems threat model

media Sberbank opened access to its updated AI systems threat model

media Sber opened access to its updated AI systems threat model