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...
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AI
Glossary
What this tag means
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.
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...
electronic document management
Auditing AI solutions in document management: ensuring ISO 15489-1 compliance
Implementing Intelligent Document Processing requires transparent logging. Learn how to configure audit trails to mainta...
Cloud & Infrastructure
Governance for autonomous AI agents: controlling costs and security
Transitioning to autonomous AI agents requires robust infrastructure governance, including strict FinOps limits and arch...
Cloud & Infrastructure
Data readiness for AI-native enterprise infrastructure
How to build data infrastructure for AI without expensive data lakes and endless ETL pipelines using the Data-as-Model a...
Process Automation
Governance of multi-agent BPM systems: scaling autonomous processes
Balancing AI agent autonomy and compliance requirements in enterprise architecture using BPMN, DMN, and UnityBase platfo...
System Integration
Integrating AI agents into EDRMS: why metadata architecture drives automation success
Why connecting AI agents to document management as external services fails, and how the Data as Infrastructure concept h...
Process Automation
Managing AI risks in enterprise BPMN processes
Protecting enterprise workflows from excessive AI agency using domain model architectural constraints to turn AI agents ...
Cloud & Infrastructure
Infrastructure readiness for AI: preparing enterprise environments for autonomous agents
Transitioning to autonomous AI agents requires shifting infrastructure focus: from model selection to building FinOps li...
Telecom
Supply chain security in telecom: AI isolation under NIS2
Integrating third-party AI modules into BSS/OSS creates critical "black box" risks. We examine practical tools for isola...
Internet of Things
AI risk management in IIoT: adapting NIST AI RMF 1.0
Adapting the NIST AI RMF 1.0 framework for operational technology (OT), where availability and safety outweigh confident...