TL;DR AS/400 (IBM i) persists because it runs mission-critical, regulator-visible workloads reliably. The biggest risk is not age. It is institutional opacity, lost lineage, and compliance blind spots. Modernization succeeds when you control data first, then retire applications with audit-ready proof. IBM i data can be high value for analytics and AI, but only with […]
If you are running an AS/400 system today, chances are it is not because you are stuck in the past. It is because, quietly and without drama, it keeps doing its job. While everyone else is busy chasing rewrites, migrations, and cloud invoices that never seem to go down, the AS/400 keeps processing orders, payroll, […]
TL;DR Data privacy is the right of individuals to control how their personal information is collected, used, stored, and shared. It is distinct from data security (technical defenses) and data protection (the broader governance umbrella). By January 2026, twenty US states have comprehensive privacy frameworks in effect, the EU AI Act is fully enforceable, and […]
Gartner® just released a prediction (https://www.gartner.com/en/newsroom/press-releases/2026-01-29-gartner-predicts-35-percent-of-countries-will-be-locked-into-region-specific-ai-platforms-by-2027). “By 2027, 35% of countries will be locked into region-specific AI platforms using proprietary contextual data. Gartner also predicts that platform lock-in will rise from 5% to 35% by 2027.” This is not about technology preference. This is about sovereignty, control, and the end of the global AI model. […]
Enterprise GenAI Security, Explained in Two Parts As enterprises move from isolated GenAI pilots to full-scale production rollouts, the risk profile shifts—fast. In Part 1, we focused on the “front door” risks that show up early in LLM deployments: prompt injection, sensitive data exposure, supply chain weaknesses, poisoning, and unsafe output handling. But once LLMs […]
Enterprise GenAI Security, Explained in Two Parts As enterprises increasingly integrate large language models (LLMs) into core operations—from customer service chatbots to internal decision-making tools—the risks have evolved. A single prompt can steer behavior, retrieval can pull the wrong data, and an answer can become an action—meaning the boundary between “text” and “system behavior” is […]
