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COVER FEATURE
DBMS: SAFE GENERATION
Data Credibility in an Era of Digital Distrust
As data value increases, so do the amount and sophistication of attacks targeting it. Meanwhile, traditional security approaches are turning out to be helpless against insider threats: a fundamentally new data protection paradigm is required.
Vladimir Listov (listov.v@granit-concern.ru), Advisor to CEO, Granit Concern (Moscow).
The Discreet Charm of Open Source
Many commercial proprietary systems used in mission-critical infrastructures are built upon open-source databases. But can products of this kind ensure proper protection of confidential data from both external and insider attacks?
Konstantin Seleznyov (konstantin.seleznyov@gmail.com), Lead Expert, RELEX Group (Voronezh).
Database Systems Are Responsible for Data Security
A database underpins any data-driven solution. It ensures confidentiality, secure storage, and the integrity of mission-critical information, up to and including non-repudiation of data operations. In some cases, proprietary database systems are used to achieve these objectives, but open-source solutions, such as the Russian Postgres Pro Enterprise, can meet the needs of data owners as well.
Andrey Gusakov (a.gusakov@postgrespro.ru), Senior Technology Advisor, Postgres Professional (Moscow).
OS FORECAST
Accelerating the Transformation: OS Big Seven Forecasts, v. 2026
The Open Systems Journal.DBMS presents its technology development forecasts for 2026.
With the pace of technology and cultural change accelerating, its implications are becoming irreversible. Simultaneously, a substantial layer of geopolitical and economic risks is forming, along with growing concerns about an 'AI bubble,' the consequences of which may exceed those of the 2000 dot-com collapse. Nevertheless, the saying 'Transform or Die,' known for over a decade now, remains as relevant as ever. Companies are forced to stake their future on technology and, to ensure survival amid uncertainty, must sometimes take considerable risks.
Nikolai Smirnov (nsmirnov@osp.ru), freelance writer (Moscow).
DATA MANAGEMENT
Data for Decision Making: Effective Management in Insurance
Structuring data use according to management levels and tailoring processes and tools to each level enables a meaningful shift toward treating data as a strategic asset. However, this requires building a data use ecosystem that spans all levels of an insurance company’s management hierarchy.
Dmitry Fomin (FominDV@ugsk.ru), Director of Financial Reporting Control Department, Yugoria Insurance Group (Moscow).
MDM Process Improvement: Where to Start
Many companies are losing money due to errors in master data, having no idea how to begin correcting it, how to properly allocate resources, and how to calculate the budget for the necessary tools. It often seems that MDM issues will disappear instantly once the right tool is implemented, but solutions of this kind are so expensive that a project might stall for an indefinite period during which the problems would grow, while the cleansed data would get erroneous again.
Anna Yerokhina (pochanya@mail.ru), independent expert (Moscow).
All about data culture
Ultimately, data culture determines the success of any initiatives for organizing and supporting data consumption, as well as for the efficient use of all the company’s information assets.
Mikhail Zyrianov (mikez@osp.ru), Editorial Director, OSP.RU (Moscow).
ARTIFICIAL INTELLIGENCE
How to Prepare and Deploy AI
When implementing AI, many companies face challenges both in navigating the technology and in assessing its true business value. What should a company's AI deployment strategy look like to equip its workplaces?
Anna Elashkina (Elashkina.anna@gmail.com), independent expert; Andrei Kukushko (a.kukushko@mail.ru), Digital Strategy, Business Design, and AI Tools Specialist, Skolkovo Management School (Moscow).
What can Business Learn from Board Games
Traditional employee evaluation methods cannot fully reveal the true potential of staff members, measuring only competencies and KPIs while largely ignoring human behavior under uncertainty and team dynamics. The 'role analytics' methodology uses game mechanics from tabletop role-playing games such as Dungeons & Dragons combined with AI analysis to predict team compatibility and reveal actual behavioral patterns hidden in routine office work.
Vladimir Anisimov (Anisimovvp.pro), independent expert in digital transformation, distributed storefront creation, and AI lab development; Elena Hripko (syworkshop.ru/doctors/hripko), psychologist and psychoanalyst (Moscow).
PROCESS MANAGEMENT
BPM at a Bifurcation Point: A Lost Identity
Business Process Management has failed to surpass ERP in leading the corporate information space, though it has claimed its share of the corporate resources pie. The process industry could rest on its laurels, occasionally changing the main tool’s name; however, what ensured stability yesterday impedes change today. BPM today finds itself at a bifurcation point—its tools belong to an era of regulations and bureaucratic procedures, while business operates in constant turbulence, where every decision must be made here and now.
Stanislav Makarov (s.makarov@haulmont.com), Product Analyst for Jmix BPM, Haulmont; Editor of the BPM Developers Channel (@bpm_developers) (Samara).
SOFTWARE ENGINEERING
The Five Pillars of Modern Software Testing Methodologies
The history of testing spans many decades now. In the meantime, software development technologies have been changing, IT systems have grown ever more sophisticated, but testers still make the same mistakes over and over again. Why? Is it possible to improve the situation, considering that a software failure these days is not a mere technical glitch, but a factor directly impacting user trust and business resilience?
Alexander Tutunnik (atutunnik@luxms.ru), Business Development Director, Luxms Group; Sergey Stepanenko (islands@glorium.ru), Business Development Director, Softline Group (Moscow).
OS ACADEMY
Microelectronics from A to Z
Rosenergoatom and CONSIST-OS have published a book on microelectronics, part of a series on digital technologies.
Dmitry Volkov (vlk@keldysh.ru), senior fellow, M. V. Keldysh Institute of Applied Mathematics (Moscow).
