As the adoption of Artificial Intelligence (AI) technologies in telecommunications grows, the importance of ensuring test and security in wireless networks remains highly important. 5G Americas recently released its white paper, which examines the evolving threat landscape posed by AI-driven technologies and outlines recommendations for securing these systems.
The whitepaper, ‘Advances in Trust and Security in Cellular Wireless Networks in the Age of AI’ shares the following insights:
- AI-driven threats and mitigation strategies: The integration of AI into network operations creates new attack surfaces, such as adversarial machine learning and data poisoning. The white paper provides actionable controls and recommendations for safeguarding AI assets and platforms
- Regulatory and governance frameworks: Emerging global standards and regulations, including initiatives by 3GPP, NIST, and ISO, are highlighted as essential to developing trustworthy AI systems in telecom
- Strategic use cases for AI in wireless networks: From enhancing mobility management to enabling intelligent network planning, AI applications hold transformative potential, provided they are implemented securely and ethically
- The role of AI in 6G development: With the evolution toward AI-native 6G networks, the paper explores how AI can optimise energy efficiency, enable dynamic feature development, and support emerging use cases like mixed reality and intelligent IoT
“Artificial intelligence is a double-edged sword for the wireless industry,” said Viet Nguyen, President of 5G Americas. “While it offers groundbreaking advancements in network performance and security, it also expands the attack surface. Proactive governance, ethical frameworks, and collaborative industry efforts are essential to harness AI’s potential safely and responsibly.”
AI is increasingly being integrated into mobile networks with use cases such as anomaly detection, automated threat response, and intelligent network management. However, adversarial attacks, intelligent jamming, and AI-based intrusions present notable risks and underscore the importance of secure AI deployment.
“AI is revolutionising wireless networks, enabling unprecedented efficiency, optimisation, and innovation,” added Taylor Hartley, Working Group Leader of the paper and Solutions Security Manager at Ericsson. “However, as AI adoption grows, so does its potential as an attack vector. This white paper serves as a crucial guide for stakeholders aiming to balance innovation with robust security measures.”
“Telecommunications networks are the backbone of our digital society,” said Martin McGrath, Working Group Leader of the paper and Principal Standardization Lead, Nokia. “This white paper emphasises the critical need for proactive measures to secure AI systems, ensuring the trust and safety of next-generation wireless networks.”
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