Edge Computing is the approach of processing data close to where it is generated (e.g., a sensor, camera, factory robot, in-vehicle computer, or an on-site server) instead of sending it to a centralized repository or cloud for processing. In other words, compute power moves away from the “center” of the network and closer to the “edge” where data is born. This allows data to be analyzed locally and decisions to be made instantly, without long round trips.

Zero Trust, at its core, is the “never trust, always verify” approach. In this model, a user, device, or application is not considered trustworthy by default - even if it is inside the corporate network. Every access request, every session, and every action is continuously evaluated based on identity, device state, context, and risk signals. Zero Trust shifts defense away from a static network perimeter and toward protecting users, assets, and resources (applications, data, and services), offering a paradigm in which trust is not granted implicitly but is continuously assessed.

While hybrid cloud brings many advantages such as flexibility, cost optimization, and regulatory compliance, it also introduces significant management challenges. Unifying multiple infrastructures, diverse toolsets, and APIs under a single, coherent operational model requires a deliberate strategy.

In an IT system or application, thousands of events occur every second: a user signs in, data is fetched from a database, a server is rebooted, or a firewall blocks a threat. All these actions turn into records often called the system’s “digital footprints.” These records are called Logs.

Quantum computers apply the principles of quantum mechanics (superposition, entanglement, interference) directly to computation, exploring regions of the solution space that are intractable for classical machines. The goal is to unlock new capabilities across science, finance, and AI.