Domain-specific models: when corporate AI needs its own language
Corporate systems require domain-specific language models for security, efficiency, and compliance with unique business processes.
Software Development
Ideas and experience in communications, technology and customer service.
Supply chain security lessons for AI integrations
The Miasma attack on Red Hat's npm packages highlights supply chain risks and credential theft, which are critical for AI integration security.
Domain-specific AI models for enterprise applications
Domain-specific AI models are becoming a key tool for modernizing enterprise applications in 2026-2027, overcoming legacy system limitations.
AI-driven Scriptum: The future of document and workflow automation by 2026
AI-driven Scriptum is set to transform document management and workflow automation by 2026, accelerating document processing and business process automation.
AI drives compliance audit automation
AI-driven compliance is transforming ISO/IEC 27001 and SOC 2 audits by automating evidence collection and non-compliance detection.
RPA and low-code: synergy for complex BPM automation by 2026
By 2026, over 80% of large enterprises will leverage a combination of RPA and low-code platforms to optimize business processes. This approach accelerates development time and enhances automation efficiency.
Zero Trust for legacy systems: migration or adaptation?
Implementing the Zero Trust model for legacy systems presents a critical challenge, requiring in-depth analysis of architecture and business processes. The key question remains the choice between full migration and adapting existing solutions.
Protecting critical infrastructure from emerging IoT/SCADA threats
The increasing number of cyberattacks on critical infrastructure necessitates a reevaluation of approaches to securing IoT and SCADA systems. Emerging challenges for 2026 demand integrated solutions and continuous monitoring.
Cybersecurity for hybrid infrastructure: challenges and solutions
By 2026, over 85% of large enterprises will adopt hybrid cloud strategies, increasing demands for comprehensive information security systems (ISS). This article examines key challenges and effective approaches to cybersecurity in complex hybrid environments.
AI-driven FinOps: The future of multi-cloud cost management by 2026
By 2026, over 80% of large enterprises utilizing multi-cloud infrastructures will integrate artificial intelligence into their FinOps strategies to optimize costs and enhance efficiency. This shift is driven by the increasing complexity of cloud environments and the need for automated data analysis.
Optimizing legacy system migration to hybrid infrastructure by 2026
By 2026, over 80% of enterprises will adopt hybrid or multi-cloud strategies for IT infrastructure management. This presents new challenges for legacy system migration, requiring a comprehensive approach and adaptive solutions.
AI-driven ECM: The future of corporate content management by 2026
By 2026, over 70% of new enterprise content management (ECM) systems will integrate artificial intelligence capabilities to automate processes and enhance efficiency. This will transform ECM from a passive repository into a proactive decision-making tool.