Organizations are increasingly embedding security functions directly into network infrastructure rather than maintaining separate security tools, a shift driven by the dissolution of traditional network perimeters as assets scatter across cloud, edge, and on-premises environments. This integrated approach addresses the unsustainability of fragmented security solutions, which create overlapping tools, license cost burdens, policy gaps, and coordination challenges between teams. By making security an integral part of the network fabric itself, enterprises can detect threats faster, enforce policy more consistently, and contain attacks closer to their source.

The integrated model offers several key advantages: consistent policy application across the entire organisation, improved agility to respond to AI-enabled attacks, and the ability to implement zero-trust principles at the network foundation (aligned with NIST standard SP 800-207). The approach enables techniques such as micro-segmentation to prevent lateral movement, supports complex disciplines like SASE and SD-WAN, and fosters closer collaboration between traditionally separate network and security teams. Machine learning capabilities integrated into the network can identify patterns in network activity to enhance threat detection and response capabilities.