Hybrid development in enterprise: balancing custom code and low-code
How to combine the flexibility of custom development with the speed of low-code while maintaining engineering discipline, version control, and robust system architecture.
INSIGHTS & PRACTICE
Intecracy Group
Practical guides to business-process automation: from the first assessment to measurable results.
43 publications
From MVP to production-ready: architectural discipline
Transforming a successful prototype into a stable enterprise solution using the 12-Factor App, SRE practices, and the Well-Architected Framework.
Custom development or off-the-shelf: when to build or buy
Finding the balance between rapid off-the-shelf software deployment and custom development freedom, evaluating TCO, and avoiding technical debt traps.
AI in cybersecurity 2027: from perimeter defense to semantic DLP filters
How to protect corporate LLM integrations from data leaks and new attack vectors using NIST AI RMF, MITRE ATT&CK frameworks, and Security by Design architecture.
Incident response: the first 24 hours and regulatory requirements
How to balance technical cyberattack containment with strict compliance reporting requirements during the critical first 24 hours after threat detection.
The compliance trap: why SIEM and certification do not guarantee operational resilience
We analyze common pitfalls in implementing monitoring tools and certifications without making real changes to daily security team processes.
Building noise-free security monitoring with SIEM, SOC, and SOAR
A practical approach to overcoming SOC alert fatigue through MITRE ATT&CK mapping, SOAR automation, and NIST CSF 2.0 business prioritization.
Integrating NIS2, ISO/IEC 27001, and KSZI requirements
Combining NIS2 directives, ISO/IEC 27001 processes, and KSZI requirements without redundant workflows. A practical approach to security architecture.
Integrating legacy systems without APIs: CDC, facade services, and RPA limits
A practical analysis of architectural patterns for connecting legacy systems to modern ecosystems: how to avoid point-to-point chaos and why RPA is only a temporary solution.
Data governance and data lineage: quality for AI
The success of AI initiatives depends on data lineage transparency and Data Governance maturity. Learn how to avoid poor data quality traps and prepare enterprise IT architecture for AI scaling.
API Management and Data Contracts: Overcoming Integration Chaos
How to transition from fragile point-to-point connections to a managed integration layer using API gateways and schema registries to ensure enterprise system stability.
Event-driven architecture: Kafka vs RabbitMQ and reliable event delivery
Comparing Kafka and RabbitMQ for building reliable event-driven architectures. Learn how to avoid integration issues and ensure data integrity.