Nokia has announced Agentic AI capabilities within its autonomous networks portfolio, enabling Communication Service Providers to enhance automation, security, and network monetization. This expansion builds on Nokia’s existing AI-driven network automation, introducing advanced AI models to detect security threats, streamline service creation, and optimize network operations.
Kal De, SVP, Product and Engineering, Cloud and Network Services at Nokia, highlighted the role of AI in network autonomy, stating:
“CSPs are striving for higher network autonomy to improve efficiency and deliver personalized customer experiences. AI is the key to unlocking L4/L5 autonomy, managing complexity, and orchestrating actions across network domains and operational functions.”
AI Innovations in Nokia’s Autonomous Networks
1. AI-Driven Security Enhancements
- Threat Hunt Assistant: Uses LLMs and Agentic AI to detect threats in real-time, significantly reducing response time from days to minutes.
- NetGuard Cybersecurity Dome: Integrates telco-trained AI models with threat intelligence to proactively identify and mitigate cyber risks.
- NetGuard Endpoint Detection and Response: Introduces signature validation to prevent deployment of untrusted software in telco cloud environments.
2. AI-Powered Analytics for Subscriber Insights
- Generative AI-Enabled Analytics: Allows CSP engineers to retrieve insights and generate reports using natural language queries, eliminating the need for SQL expertise.
- Self-Service AI Studio: Part of Nokia’s Data Suite, this framework provides pre-packaged AI models for custom AI/GenAI use cases, reducing AI deployment time from six months to four weeks.
3. AI for Digital Operations & Network Optimization
- Service Orchestration & Troubleshooting: AI agents automate tasks, accelerate service cataloging, and troubleshoot provisioning issues.
- Predictive Network Fault Detection: Nokia Bell Labs AI models enable anomaly detection and fault prediction, improving network reliability and uptime.
Advancing Toward Fully Autonomous Networks
Nokia’s AI-powered network automation solutions align with the industry’s vision of self-sustaining networks that sense, think, and act autonomously. Andy Hicks, Senior Principal Analyst at GlobalData, noted:
“Traditional machine learning, LLMs, and Agentic AI will each play critical roles in achieving fully autonomous networks. Nokia’s telco-trained AI models are designed to drive this transformation.”
With its latest AI-driven advancements, Nokia is reshaping the future of network autonomy by equipping CSPs with intelligent, self-optimizing solutions. As AI continues to redefine telco operations, Nokia remains at the forefront, driving efficiency, security, and monetization across the global telecom landscape.