Aligning AI Adoption Maturity with AI Security Using CMMI and Russian Regulatory Requirements
Organizations frequently operate at mismatched maturity levels between AI implementation and AI security controls, creating significant gaps that lead to incidents and regulatory violations. The analysis maps both dimensions onto the five-level CMMI scale, showing how adoption often outpaces protection and highlighting the risks of Shadow AI, uncontrolled agents, and non-compliance. Key frameworks including OWASP AIMA, Google SAIF, NIST AI RMF, and MITRE ATLAS are aligned to CMMI levels L1 through L5. Russian requirements under FSTEC Order No. 117, effective March 2026, introduce mandatory controls for trusted AI technologies, data handling, and statistical response validation that activate precisely at the L2-to-L3 transition. The article details predictable organizational states from denial to managed agentic systems and provides a practical matrix linking each CMMI level to minimum security requirements and specific Russian compliance anchors such as GOST R 56939-2024 and ISO/IEC 42001.
Habr•AI Security
