SberTech Launches Platform for Securing Enterprise AI
SberTech (Sberbank-Tekhnologii JSC) has introduced Platform V SOWA AI, a corporate gateway designed for centralized control over large language models, AI agents and other AI systems. The platform is built to manage and securely scale AI deployments. It can monitor prompts and responses in real time, enforce access controls and prevent data leaks. The system also allows companies to connect new models to a protected environment in less than an hour.
While the launch is industry-focused, it carries broader implications for Russia’s enterprise AI market. At its core, the product is an infrastructure layer for governing and securing generative AI inside corporate environments. As AI adoption accelerates, so does the risk of “shadow” use of external AI services beyond organizational oversight. Platform V SOWA AI gives enterprises access to large language models and AI agents while maintaining centralized control over data flows and security policies. The platform is aimed at industries with strict data-protection requirements.
For end users, that could translate into safer and faster digital services, along with lower risks of data exposure. For the broader market, the launch marks another step toward building sovereign AI infrastructure inside Russia.
A New Enterprise Security Niche
Within the domestic market, Platform V SOWA AI is emerging as part of a new generation of enterprise AI infrastructure for large organizations moving from pilot programs to production-scale deployment. Analysts estimate that by 2030, AI could generate between 7.9 trillion and 12.8 trillion rubles annually in economic impact across Russia. Most large companies are already testing generative AI systems. Yet weak integration practices and the absence of centralized governance are hampering broader adoption. Under those conditions, demand for AI management and security platforms is expected to rise sharply.
Against a backdrop of growing risks – including data leaks, prompt injection attacks and policy bypass techniques – the platform could occupy a position between traditional cybersecurity and the emerging AI Security segment. Some fintech firms have already reported AI-related incidents, with data leakage remaining one of the primary concerns.
The platform may also have export potential if adapted to regulatory requirements in other countries. Interest in Russian cybersecurity products has generally been growing, particularly in sectors where data governance and auditability are critical. Inside Russia, the product is expected to see the strongest demand in fintech, telecom, retail, industrial enterprises and the public sector.
Demand Grows for Specialized AI Security Tools
Between 2024 and 2025, generative AI became part of corporate infrastructure across Russia. Industrial deployment scenarios began to emerge across customer service, software development and internal AI assistants. In 2024, Russia’s generative AI market was estimated at 13 billion rubles. Analysts expect that figure to grow severalfold over the next few years, driven largely by demand from major enterprises with strict data-security requirements. At the same time, a dedicated AI Security segment has started to take shape. ITMO University and Raft introduced HiveTrace, a system designed to protect AI models from attacks. Fintech companies also began classifying AI incidents as a separate category of operational risk, including data leaks, prompt injections and related threats. That shift has accelerated demand for specialized security platforms.
By 2026, the market is increasingly moving toward managed enterprise AI gateways. ITGLOBAL.COM launched an AIaaS platform offering a unified access point to more than 50 language models with centralized control over data and operating costs. AppSecSolutions introduced AI FirewallAppSec.AIGate, a proxy platform for request inspection, access governance and leak prevention.
Even so, deployment challenges remain significant. Only 7% to 10% of AI pilot projects reach full production deployment. For that reason, platforms such as Platform V SOWA AI can be viewed as transition tools that help enterprises move from experimentation toward systematic operational use of AI.
A Sign of Market Maturity
The launch of Platform V SOWA AI reflects a broader shift in Russia’s AI market from experimental deployments toward industrial-scale implementation. Businesses are no longer looking for isolated AI tools alone. They increasingly need infrastructure capable of supporting secure scaling, centralized access governance and data protection. In many ways, that marks a sign of maturity for the generative AI sector.
Over the next several years, Russia is likely to see the emergence of a dedicated AI security market where large digital ecosystems, cloud providers and cybersecurity vendors compete directly. Demand is expected to come primarily from fintech, telecom, industrial enterprises and government organizations. Yet fragmentation and integration complexity remain key risks. If adoption proceeds successfully, the platform could strengthen SberTech’s position in the enterprise AI infrastructure market.
