Nokia introduces agentic AI framework in Network Services Platform to enable trust-based AI operations for IP networks

Nokia introduces agentic AI framework in Network Services Platform to enable trust-based AI operations for IP networks

• Nokia NSP adds an agentic AI framework that lets operators deploy AI agents grounded in a real-time, accurate network view — enabling them to reason based on trusted data and take guided, explainable actions within operator-defined policies and security boundaries.
• Nokia AI-driven Troubleshooting Agent accelerates root-cause analysis, reduces operational noise, and turns complex IP issues into guided, explainable workflows.
• Framework supports communication with external agents via new AI-based protocols across operators’ multi-vendor, multi-domain networks, empowering them on their journey toward fully autonomous networks.
  
  

11 June 2026 

Espoo, Finland – Nokia today announced an enhancement to its Network Services Platform (NSP), the company’s comprehensive management and automation platform for multi-vendor IP networks, with the introduction of an agentic AI framework designed specifically for IP network operations. The new framework enables network operators to deploy AI agents that can reason over real network context and take guided actions within defined policy and security boundaries.

As IP networks grow in size and complexity with the rise of AI traffic, operators face increasing pressure to improve efficiency and reliability while maintaining full operational control. While AI has the potential to transform network operations, many operators have remained cautious due to concerns around explainability, trust, and risk in production environments. Nokia’s approach with NSP addresses these concerns by embedding agentic AI capabilities directly into the platform that already serves as the authoritative controller for IP networks.

“Appledore has been advocating for operators to focus on the primary importance of quality data and ontological relationships – which are proving far more important than specific AI models for efficient and accurate AI reasoning.  Nokia’s NSP embraces this approach with extensive AI-native infrastructure built on trusted data and operating norms, providing a solid and secure foundation for a myriad of AI use cases. Domain expertise is likely the most critical quality in designing effective automation for complex networks,” said Grant Lenahan, Partner and Principal Analyst, Appledore Research.

Schreibe Deinen Kommentar