CDNetworks launches solution to speed and secure AI aggregation platforms
AI aggregation platforms get 70% latency reduction and 60% bandwidth savings with edge-native security.
CDNetworks has announced a new solution specifically designed for AI aggregation platforms – the emerging middleware layer that helps enterprises select, route, and optimize multiple AI models across business functions. As these platforms scale globally, they face three critical challenges: maintaining low-latency performance across regions, handling unpredictable traffic surges, and securing increasingly exposed AI model APIs against attacks. CDNetworks' solution addresses all three by combining global acceleration with edge-native security.
Built on a network of 3,000+ Points of Presence, the solution uses intelligent routing and supports HTTP/2, HTTP/3, and WebSocket protocols to ensure fast, stable connections regardless of user or model location. For security, it integrates WAAP capabilities including DDoS protection, WAF, bot management, and API security at the edge. In a recent deployment, a global AI aggregation platform achieved 70% latency reduction and 60% origin bandwidth savings while maintaining continuous API protection. Antony Li, APAC Head of Sales, noted that the solution gives platforms the infrastructure confidence to support AI interactions at scale, making them a reliable part of real business workflows.
- CDNetworks' global network of 3,000+ PoPs uses intelligent routing and supports HTTP/2, HTTP/3, and WebSocket to reduce cross-region latency.
- Edge-native WAAP capabilities (DDoS protection, WAF, bot management, API security) protect AI model APIs from attacks.
- In a deployment, the solution cut latency by 70% and origin bandwidth consumption by 60% while maintaining continuous API protection.
Why It Matters
AI aggregation platforms gain the reliability and security needed to become a trusted part of enterprise workflows.