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.
Ideas and experience in communications, technology and customer service.
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.
How to build a controlled identity lifecycle, implement regular access reviews, and eliminate "orphaned" access vulnerabilities to protect against cyber threats.
A practical guide to scaling the Industrial Internet of Things: edge vs. cloud architecture, secure legacy equipment integration, and OT network protection.
How to secure industrial legacy systems and meet NIS2 requirements without disrupting production processes.
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.
Integrating Modbus, MQTT, and OPC UA via edge gateways allows legacy equipment to be combined with modern analytical platforms, preserving data context and security.
Shifting from reactive invoice analysis to proactive cost modeling during architectural design using unit economics and AI assistants.
Why cloud bills rise after migration and how to embed financial efficiency (FinOps) into infrastructure design during the application planning stage.
The appearance of an unauthorized sitemap in GSC is a critical signal of potential compromise via content injection. Why simple file deletion masks the problem and how to conduct a proper forensic analysis.
AI-native system architecture demands an integrated approach to quality and AI risk management. We examine frameworks, security platforms, and organizational factors.
Confidential computing, leveraging TEEs, justifies its complexity for banks by protecting data in the cloud during processing from cyber threats and regulatory risks.