Secure SSDLC in the age of generative AI
Implementing AI assistants requires shifting from blind trust in tools to architectural data control and mandatory code ...
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...
Protecting enterprise workflows from excessive AI agency using domain model architectural constraints to turn AI agents ...
In 2026, the shift to AI-native architectures makes rigid SaaS platforms a risk to unique business logic. We explore why...
Preventing excessive AI agency in corporate processes using BPMN and DMN standards and strict architectural platform-lev...
Transforming ISO/IEC 42001 requirements into engineering controls within the SDLC to ensure automated evidence for succe...
Traditional RBAC cannot mitigate Excessive Agency risks. We explore architectural methods to constrain autonomous AI age...