A machine learning algorithm is a set of programmed instructions that enables computers to learn patterns from data and improve their performance on tasks over time. Unlike traditional programming, where explicit instructions are provided for every scenario, machine learning algorithms use statistical techniques to identify trends, make predictions, or classify information. In cybersecurity, these algorithms help detect threats, recognize anomalies, and automate responses by continuously adapting to new types of attacks. Their ability to process large volumes of data and learn from it makes them essential tools for modern security systems, enhancing both detection accuracy and response speed.