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.
CONTROLLED FINANCE
Practical guidance on management accounting, budgeting, treasury, period close, financial controls and evidence-based AI.
33 publications
Corporate systems require domain-specific language models for security, efficiency, and compliance with unique business processes.
Choosing between Apache Kafka and message queues for event-driven integration depends on scale, reliability, and cybersecurity requirements.
CERT-UA warns of intensified cyberattacks targeting critical infrastructure. We examine new attacker tactics and effective defense strategies based on Zero Trust architecture.
Integrating AI policies into API Gateways is critical for proactive microservice protection in 2027, countering cyber threats and AI-related risks.
Protecting AI services from prompt injection and data leaks in 2026 requires a comprehensive approach and integration with existing cybersecurity tools.
Integrating Edge AI with 5G and data security measures is becoming the foundation for protecting critical infrastructure by 2027, requiring systematic data management.
AI analytics is transforming master data management (MDM) in 2026, ensuring accuracy and efficiency in enterprise system integration.
Industrial IoT and SCADA systems are transforming manufacturing. We examine the key trends for 2026: AI, cybersecurity, cloud solutions, and integration.
Industrial IoT and SCADA: key trends for 2026. Integration of AI, cloud solutions, and cybersecurity for manufacturing automation.
AI-driven compliance is transforming ISO/IEC 27001 and SOC 2 audits by automating evidence collection and non-compliance detection.
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.
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.