Low-code as a model-based engineering discipline
We explore why a model-driven approach in UnityBase is the foundation for architectural resilience, helping teams avoid ...
We explore why a model-driven approach in UnityBase is the foundation for architectural resilience, helping teams avoid ...
Preparing enterprise data for AI agents requires structural integrity, domain metadata, and security context to ensure e...
A strategy for the gradual modernization of legacy enterprise systems using the Strangler Fig pattern and the UnityBase ...
AI integration requires updating the SSDLC. We explore the shift from traditional code analysis to architectural control...
We analyze architectural requirements for BPM systems under the NIS2 directive. Learn how on-premises deployment ensures...
Implementing AI assistants requires shifting from blind trust in tools to architectural data control and mandatory code ...
How to minimize 'Excessive Agency' risk when implementing AI? Using BPMN orchestration and RLS/RBAC mechanisms to protec...
How to grant AI agents autonomy without losing data control? We examine architectural barriers, OWASP and NIST standards...
How to implement trust architecture and Digital Provenance in business process automation to meet NIS2 requirements and ...
Protecting corporate BPM processes from excessive AI agent autonomy (OWASP LLM08:2025) using strict BPMN 2.0 orchestrati...
NIS2 requirements are reshaping cybersecurity, shifting from static policies to a Compliance-by-Design approach where pr...
Balancing AI agent autonomy and compliance requirements in enterprise architecture using BPMN, DMN, and UnityBase platfo...