Software Development
Managing excessive agency in enterprise AI systems
Traditional RBAC cannot mitigate Excessive Agency risks. We explore architectural methods to constrain autonomous AI age...
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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.
Software Development
Architecture of multi-agent AI systems in enterprise
Integrating autonomous agents into enterprise ERP and ECM environments requires strict architectural discipline, using D...
Process Automation
Automating business processes with AI agents: maintaining control
Integrating generative AI into corporate processes using BPMN 2.0 and DMN for secure AI agent orchestration and maintain...
Information Security
AI risk management in enterprise cybersecurity: from shadow models to Zero Trust architecture
Integrating AI into enterprise systems creates new security challenges. Discover how to prevent shadow AI and secure you...
Process Automation
Secure process automation using AI agents: risk mitigation architecture
How to integrate autonomous AI agents into enterprise systems, avoid the risk of Excessive Agency, and maintain full con...
Information Security
AI risk management in critical infrastructure via NIST AI RMF 1.0
How critical infrastructure operators can adapt the NIST AI RMF 1.0 framework to defend against specific AI threats and ...
Telecom
Protecting telecom networks from signaling fraud: SS7, Diameter, and SIP security architecture
An analysis of signaling protocol vulnerabilities and methods for building architectural defenses against fraud in telec...
Internet of Things
Physical AI, autonomous systems, and industrial IoT future
Integrating Physical AI into industrial environments requires moving from simple telemetry collection to resilient hybri...
Internet of Things
Edge computing in IoT: balancing edge and cloud
Effective industrial IoT architecture requires load distribution: processing critical data on-site (Edge) or sending it ...
Telecom
Contact centers and customer service in telecom
Telecom contact center architecture requires updates to address fraud risks. We explore integrating AI agents, omnichann...
Cloud & Infrastructure
AI cost forecasting and FinOps automation: the future of cost management by 2027
Shifting from reactive invoice analysis to proactive cost modeling during architectural design using unit economics and ...
Software Development
Scaling AI-assisted development in enterprise: from code generation to engineering discipline
By 2027, successful AI adoption in development will depend not on code generation speed, but on integrating AI tools int...