Netskope has introduced NewEdge AI Fast Path, a service designed to optimise network paths to key AI destinations. The service aims to reduce latency, improve performance, and provide secure connectivity for users accessing or implementing AI applications.
Balancing security and speed can be a challenge for enterprises. Recent surveys indicate that only 18% of organisations feel their current resources fully meet the demands for resilience and security in the AI era. Some enterprises delay AI adoption due to security concerns or encounter performance limitations with existing infrastructure.
Netskope's NewEdge, a carrier-grade private cloud, underpins the Netskope One platform, providing security, networking, analytics, and AI services. The AI Fast Path capability helps improve performance for complex AI applications.
Key benefits include:
- Quicker inference results: Minimises time-to-first-token (TTFT) for conversational AI.
- Agentic AI optimisation: Supports high-speed processing for complex, multi-prompt agentic workflows.
- Improved Large Language Model performance: Facilitates efficient access to distributed data.
- Enhanced Retrieval-Augmented Generation (RAG): Speeds connectivity between LLMs and external data sources for real-time outputs.
Netskope maintains control over its data centre infrastructure, with full compute capability available at the edge. Its network includes more than 120 data centres across over 75 regions, supporting seamless service delivery.
The NewEdge network also includes over 11,000 interconnected network adjacencies, providing direct connections to major AI destinations such as Amazon Web Services, Microsoft, and Google. This reduces unnecessary traffic hops and ensures faster, more direct network paths.
NewEdge Route Control uses telemetry from network performance monitoring to adjust routing dynamically, identifying the most efficient paths to AI endpoints while bypassing congestion or connectivity issues.
Overall, Netskope’s NewEdge AI Fast Path helps enterprises improve performance and maintain security, supporting the adoption and optimisation of AI applications.
