Process Automation
AI readiness: preparing enterprise data for agents
Preparing enterprise data for AI agents requires structural integrity, domain metadata, and security context to ensure e...
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AI
Glossary
AI at a glance
Artificial intelligence (AI) is a class of technologies using machine learning, natural language processing, computer vision and generative models to automate analytical and operational tasks.
System Integration
Data readiness: integration bus as AI foundation
Why the integration bus must evolve from a transport layer to a data quality filter to ensure successful AI implementati...
Software Development
Secure SSDLC for AI systems: from static analysis to architectural control
AI integration requires updating the SSDLC. We explore the shift from traditional code analysis to architectural control...
Software Development
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 ...
Process Automation
Managed autonomy: architectural control of AI agents in BPM processes
How to minimize 'Excessive Agency' risk when implementing AI? Using BPMN orchestration and RLS/RBAC mechanisms to protec...
Internet of Things
Validating algorithmic solutions in OT: controlling AI-driven loops per IEC 62443
Integrating AI into industrial systems requires moving away from the "black box" model. We examine a managed agent archi...
electronic document management
AI quality control in corporate document management
Transitioning from pilot AI experiments to industrial Intelligent Document Processing requires architectural oversight a...
Cloud & Infrastructure
Infrastructure readiness for AI agents: why domain data models are critical
For secure AI agent deployment, simple LLM integration is insufficient. A domain data model is the foundation for contro...
Process Automation
Managing AI agent risks in enterprise business processes
How to grant AI agents autonomy without losing data control? We examine architectural barriers, OWASP and NIST standards...
Cloud & Infrastructure
Data-centric architecture for AI agents: avoiding infrastructure bloat
Transitioning from a model-first to a data-centric approach: how data structuring and FinOps discipline help enterprises...
Process Automation
Controlling AI agents in BPM: preventing excessive agency
Protecting corporate BPM processes from excessive AI agent autonomy (OWASP LLM08:2025) using strict BPMN 2.0 orchestrati...
System Integration
Data Contracts as a foundation for secure AI integration
Data Contracts as a foundation for protecting corporate AI systems from data manipulation and integration errors. Ensuri...