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.
INSIGHTS & PRACTICE
Softengi
Practical guides to business-process automation: from the first assessment to measurable results.
127 publications
IAM and PAM: Stopping Privilege Creep and Ensuring Secure Off-boarding
How to build a controlled identity lifecycle, implement regular access reviews, and eliminate "orphaned" access vulnerabilities to protect against cyber threats.
Scaling IIoT: From local pilots to industrial production
A practical guide to scaling the Industrial Internet of Things: edge vs. cloud architecture, secure legacy equipment integration, and OT network protection.
OT/IIoT cybersecurity: Protecting critical infrastructure for NIS2
How to secure industrial legacy systems and meet NIS2 requirements without disrupting production processes.
Predictive maintenance in industrial IoT: data pipelines
Data architecture for Predictive Maintenance: how to standardize data flow via OPC UA and distribute computation between Edge and Cloud without replacing SCADA.
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 AI assistants.
Cloud-native architecture and cost: how design impacts TCO
Why cloud bills rise after migration and how to embed financial efficiency (FinOps) into infrastructure design during the application planning stage.
AI-Native System Architecture: Ensuring 'Keepalive' Quality and AI Risk Management
AI-native system architecture demands an integrated approach to quality and AI risk management. We examine frameworks, security platforms, and organizational factors.
Confidential Computing in the Cloud: Where TEE Justifies Complexity
Confidential computing, leveraging TEEs, justifies its complexity for banks by protecting data in the cloud during processing from cyber threats and regulatory risks.
Domain-specific models: when corporate AI needs its own language
Corporate systems require domain-specific language models for security, efficiency, and compliance with unique business processes.
Platform engineering for hybrid Kubernetes: cost and security optimization
Platform engineering optimizes Kubernetes in hybrid infrastructures, ensuring cost predictability, enhanced security, and operational efficiency.
AI voicebots in telecom: balancing efficiency and customer trust
AI voicebots in telecom contact centers enhance efficiency but require a balance between automation and customer trust.