Interview: Boldyn Tech Expert Tips AI-RAN to Boost Private 5G

Why It Matters

AI‑driven automation gives neutral‑host operators the speed and reliability needed for mission‑critical private 5G, while bolstering security against emerging threats.

Key Takeaways

• Boldyn installed over 130 private 5G networks in US and Europe
• AI‑enhanced NMS cuts anomaly detection time and alarm fatigue
• Neutral‑host strategy uses vendor AI 'Lego blocks' for rapid rollout
• Boldyn’s SOC runs simulations to counter AI‑driven cyber threats
• Partnerships with Nvidia accelerate GPU‑based AI for RAN equipment

Pulse Analysis

The race to embed artificial intelligence into radio access networks (AI‑RAN) has accelerated as vendors like Ericsson and Nokia promise self‑optimising capabilities. Boldyn Networks, a neutral‑host specialist, is capitalising on this momentum by integrating AI modules directly into its network‑management system (NMS). By treating vendor AI functions as interchangeable "Lego blocks," Boldyn can quickly adopt the latest machine‑learning algorithms without redesigning its infrastructure, a strategy that aligns with the broader industry push toward Level 4 network autonomy.

Operationally, AI is delivering tangible gains for Boldyn’s private 5G deployments. Real‑time traffic probes and machine‑learning models continuously scan for anomalies, reducing the time operators spend sifting through alarm storms. This proactive approach not only speeds up policy enforcement but also improves service quality for mission‑critical sites such as nuclear power stations and petrochemical plants. The company’s small team of data scientists and technologists is expanding these capabilities, positioning Boldyn to offer "SON on steroids"—a self‑optimising network that adapts instantly to changing load patterns.

Security remains a top concern as AI expands its footprint in the RAN. Boldyn’s ISO‑certified security operations centre (SOC) conducts regular penetration tests and AI‑driven threat simulations, treating the technology as both a risk and a defence tool. By integrating AI into its SOC workflows, the firm can detect and neutralise AI‑generated attacks faster than traditional methods. This dual‑use approach reflects an industry‑wide arms race, where the same algorithms that optimise networks can also be weaponised, making robust AI‑aware cyber‑defence a prerequisite for future private‑5G success.