The Modern IT & AI Glossary

Autonomous AI systems that use Large Language Models (LLMs) as reasoning engines to plan and execute multi-step tasks using external tools and APIs.

A cloud infrastructure designed to store and process data in accordance with the laws and regulations of the specific country or region where the data resides.

The process of moving cloud workloads and data back to localized or regional infrastructures to ensure digital sovereignty and compliance.

A cultural and technical practice that brings financial accountability to the variable spend model of cloud computing, often focused on GPU and AI cost optimization in 2026.

A security framework that assumes no user or device is trusted by default, requiring continuous verification regardless of whether the connection is inside or outside the network perimeter.

Cryptographic algorithms designed to be secure against a cryptanalytic attack by a quantum computer, a critical security transition starting in 2026.

The deployment of machine learning models on edge devices (like cameras or smart appliances) to perform real-time inference without sending data to a central cloud.