An adaptive network is an intelligent, self-optimizing network infrastructure that dynamically adjusts its performance based on real-time conditions and traffic demands. Unlike traditional static networks, adaptive networks use automation, artificial intelligence (AI), and machine learning (ML) to optimize bandwidth allocation, improve efficiency, and ensure seamless data transmission.

In cloud computing and cloud storage environments, adaptive networks play a crucial role in enhancing scalability, security, and performance. By leveraging AI-driven analytics, cloud providers can automatically adjust network resources based on workload demands, ensuring fast and uninterrupted access to data. This flexibility is particularly important for businesses that require low-latency, high-bandwidth connections for large-scale data processing, video streaming, and AI-driven applications.

Adaptive networking also enhances cybersecurity by identifying and mitigating threats in real time. Using intelligent traffic analysis and automated response mechanisms, it can detect unusual network behavior, prevent DDoS attacks, and enforce access control policies dynamically.