STEP LOGIC implements AI to ensure corporate data security
STEP LOGIC has launched a new line of services focused on deploying and configuring enterprise AI systems, a move that underscores the rising demand for secure, business‑tailored artificial intelligence in Russia
AI as an Ecosystem Tool
The launch reflects the growing interest of Russian companies in AI technologies — and their need to protect corporate data when deploying them. To ensure accuracy and relevance, AI models must be adapted to highly specialized business tasks and fine‑tuned using internal datasets.
STEP LOGIC’s offering includes a full project cycle: analysis of business processes, model fine‑tuning using customer data, and the configuration of multi‑agent AI systems capable of distributing tasks and reinforcing each other’s outputs.
For the Russian market, this is a signal: a major systems integrator is expanding its portfolio of enterprise‑grade AI tools. For companies — especially those in government, defense, and critical infrastructure — it provides a secure path for implementing AI inside protected environments, eliminating data leakage risks. For the industry, the move marks a shift toward “ecosystem‑level” AI adoption: from simple chatbots to embedded, customized AI systems that increase trust and maturity in the corporate segment.
Data Protection as a Core Requirement
The initiative opens new opportunities for Russia’s IT sector, driving demand for customized enterprise AI solutions. Companies are increasingly searching for integrators capable of ensuring not only the functionality of AI systems but also their security and compliance with national standards — positioning STEP LOGIC as a key market player.
This supports technological sovereignty by reducing reliance on foreign AI services and strengthening domestic cybersecurity capabilities. In the long run, STEP LOGIC may offer its customized AI systems to international partners, particularly in the post‑Soviet region, provided regulatory compliance is met. Inside Russia, such systems will be most in demand in heavy industry, energy, transportation, and the public sector — environments with complex processes and highly sensitive data.
A Market Turning Toward Enterprise AI
STEP LOGIC has previously been listed among the “25 Best Russian System Integrators” by IT Channel News, reinforcing its established role in the integration market. The 2024 rankings show signs of consolidation and stability among major SI companies, forming a strong background for integrators expanding into AI and security.
Russian businesses are showing rapid growth in demand for enterprise AI systems and machine learning — moving beyond small‑scale pilots toward full corporate deployments. Major integrators such as KROK and LANIT are also accelerating projects in automation, cybersecurity, and infrastructure modernization. The role of system integration is shifting: integrators are no longer just implementers of IT systems but strategic partners enabling digital transformation.
According to CNews Analytics / CNews500, total revenue of Russia’s 500 largest IT companies reached about $36b in 2024 — a 22% increase year‑over‑year. This macroeconomic backdrop makes STEP LOGIC’s AI expansion a pragmatic business decision, not an experiment.
From AI Experiments to Enterprise Tools
The new offering reflects the transition of AI from innovation to practical enterprise tool. It will enable organizations — especially in critical and regulated sectors — to deploy in‑house AI systems with full security, data control, and business‑specific customization. Models fine‑tuned on internal datasets outperform generic cloud AI, accelerating the adoption of corporate AI in Russia while supporting import substitution and digital sovereignty.
Successful pilot projects in industrial, defense, and infrastructure sectors may position STEP LOGIC as a reference integrator for enterprise AI deployments. The market is expected to see heightened competition, stricter transparency requirements, and increased focus on security. Those who combine strong AI technologies with deep customization and robust protection measures will win.
