NVIDIA and its partners are demonstrating AI agents for autonomous telecom networks at TM Forum’s DTW Ignite 2026, running this week in Copenhagen. These agents are designed to proactively monitor networks, coordinate changes across systems, and keep human operators in control of policy. The initiative aims to provide operators with a practical path to more autonomous, resilient networks and AI-driven services for consumers and businesses.
The technology includes synthetic data, telecom-domain models, secure agent runtimes, and simulations to form a secure autonomy platform. Synthetic data is enabling operators to safely increase the volume and diversity of training data, protect sensitive information, and democratize access to production-like telecom datasets across internal teams and external developers without exposing raw customer records. SoftBank Corp. is using NVIDIA NeMo Safe Synthesizer and NVIDIA NeMo Anonymizer to generate privacy-preserving synthetic datasets for its large telecom model and specialized network agents.
Operators are also exploring secure deployment of long-running autonomous agents that operate under strict service-level agreements, change-management policies, and regulatory constraints. NVIDIA NemoClaw blueprints and the NVIDIA OpenShell secure runtime provide policy-based guardrails and sandboxed access to telecom systems, allowing operators to safely expand the role of agents in operations while keeping behavior predictable, auditable, and governed. AdaptKey and Amdocs are piloting security-hardened agents for self-healing 5G networks and proactive customer care.
Source: nvidia
