
Introduction: Why AI Safety Became a Core Engineering Problem By 2026, artificial intelligence is no longer only a research topic or a productivity tool. AI systems are now used in healthcare, finance, cybersecurity, education, software development, recruitment, customer support, government services, and industrial operations. This wider adoption has created a serious question: how can…

Securing the Future in the Age of Intelligent Systems 1. Introduction: Two Converging Frontiers Artificial Intelligence (AI) and Post-Quantum Cryptography (PQC) represent two of the most transformative technological forces shaping the future. While AI is accelerating automation, decision-making, and system intelligence, quantum computing threatens to break the very cryptographic foundations that secure today’s digital…

Introduction Artificial intelligence does not improve in isolation. It becomes more useful, accurate, adaptive, and capable through exposure to data. Data allows AI systems to recognize patterns, understand language, refine predictions, personalize outputs, and improve performance over time. In simple terms, data is the raw material that powers the learning, adjustment, and practical value…

A Cautionary Scenario of Unprepared Infrastructure Prologue: The Morning Nothing Failed The day began quietly. No alarms. No warnings. Banks opened. Hospitals ran. Governments logged in.Every system reported green. Somewhere else, far from public dashboards and compliance reports, the first large scale fault tolerant quantum computer finished a calculation that classical machines would need…

Introduction As digital systems become more interconnected and long-lived, cryptography has shifted from being a purely technical concern to a matter of national infrastructure and global trust. One organization has played a central role in shaping how cryptography is standardized and adopted worldwide: National Institute of Standards and Technology, commonly known as NIST. In…