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 integrate it into corporate cybersecurity.
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206 publications
How critical infrastructure operators can adapt the NIST AI RMF 1.0 framework to defend against specific AI threats and integrate it into corporate cybersecurity.
Network evolution toward 5G and cloud architectures requires rethinking MNP routing. Discover how to transition from monolithic systems to modular, API-first solutions for efficient number portability.
Integrating Physical AI into industrial environments requires moving from simple telemetry collection to resilient hybrid architectures, where data normalization and OT security are primary priorities.
Architecture for integrating legacy equipment with digital twins in industrial sectors. How to extract telemetry while prioritizing OT system availability.
Data architecture for Predictive Maintenance: how to standardize data flow via OPC UA and distribute computation between Edge and Cloud without replacing SCADA.
Effective industrial IoT architecture requires load distribution: processing critical data on-site (Edge) or sending it to the cloud for deep analytics.
Integrating Modbus, MQTT, and OPC UA via edge gateways allows legacy equipment to be combined with modern analytical platforms, preserving data context and security.
Transitioning from monolithic BSS/OSS to modular ODA and 5G service-oriented architectures is a prerequisite for enabling AI and launching autonomous networks.
Telecom contact center architecture requires updates to address fraud risks. We explore integrating AI agents, omnichannel strategies, and VoIP security.
Why cloud bills rise after migration and how to embed financial efficiency (FinOps) into infrastructure design during the application planning stage.
Effective cloud governance requires shifting from reactive cost-cutting to automated design-phase control and shared financial responsibility between teams.
Analyzing a pragmatic approach to multi-cloud and hybrid architectures: how to avoid operational complexity traps, implement FinOps, and secure the organizational perimeter.