By Viet Nguyen, President, 5G Americas – January 2025
As we step through the opening days of 2025, it’s clear that Artificial Intelligence (AI) is becoming a cornerstone of progress across industries. Few areas illustrate this better than telecommunications. AI is transforming the way we communicate and is playing an increasingly critical role in securing the infrastructure that keeps our modern world connected. But as with any powerful technology, it brings challenges alongside its opportunities. In our latest white paper, “Advancing Trust and Security in Wireless Cellular Networks in the Age of AI“, 5G Americas takes a look at some of the major considerations surrounding keeping wireless cellular networks and their users safe.
It seems with each passing day, news of cybersecurity attacks is on the rise. Indeed, organizations throughout the world experienced a 30 percent year-over-year increase in weekly cyberattacks during the second quarter of 2024, averaging 1,636 attacks per week, according to Check Point Research. Sixty percent of respondents from a DarkTrace report fear that their organizations are not adequately prepared to defend against AI-powered threats and attacks. In late 2024, a major U.S. carrier announced the use of AI-based anomaly detection to combat the growing threat of cyberattacks on critical infrastructure. Meanwhile, European regulators raised alarms about the risks of adversarial AI during discussions on next-generation networks. These examples highlight a truth we must confront: while AI enables remarkable advances in efficiency and innovation, it also introduces vulnerabilities we cannot ignore.
AI is no longer a futuristic concept; it’s actively shaping wireless networks today. Initiatives like those from 3GPP and the O-RAN Alliance are harnessing AI for purposes ranging from performance optimization to network automation. For instance, the Network Data Analytics Function (NWDAF) within 5G core networks leverages AI to improve user experiences. Similarly, federated learning techniques allow AI models to be trained locally, addressing privacy concerns in regions with strict data-sharing regulations.
Yet, this progress is not without risks. Adversarial attacks, such as data poisoning or intelligent jamming, can undermine the very systems we depend on. These threats aren’t theoretical—they’re real, and they’re evolving alongside the technology. Addressing them requires not just innovation but vigilance.
Securing AI in telecommunications requires more than just addressing individual vulnerabilities—it demands a comprehensive lifecycle approach. From model training to deployment and operation, every stage must prioritize security as a core element. Resources like MITRE’s Adversarial Threat Landscape for AI Systems (ATLAS) offer actionable strategies to tackle these challenges, while industry standards provide consistent frameworks for proactive risk management.
But let’s not forget the other side of the coin. AI can also be a powerful ally in security. Machine learning algorithms can identify anomalies in network traffic in real time, enabling swift, automated responses that mitigate potential threats before they escalate. The key is responsible implementation—AI systems must be designed with security and privacy as foundational principles.
However, the conversation about AI security is more than just a technical issue—it’s a matter of trust. As we confront the challenges and opportunities AI presents, it’s clear that building trust among stakeholders is essential. Policymakers, industry leaders, and technology developers must work together to ensure AI systems align with shared values. Frameworks like the NIST AI Risk Management Framework provide a clear starting point, emphasizing transparency, accountability, and ethical practices to guide us through these complexities.
At the same time, collaboration between governments, telecom operators, and standards bodies is crucial. Whether it’s enhancing encryption protocols or improving access controls, joint efforts help create robust defenses against AI-specific risks. The O-RAN Alliance, for example, has made significant strides in identifying and mitigating vulnerabilities within open RAN architectures. Their Security Focus Group (SFG) is dedicated to developing security specifications that enable mobile network operators to deploy and operate open RAN systems meeting high security standards. Additionally, the O-RAN ALLIANCE emphasizes the importance of a Zero Trust Architecture (ZTA) to protect critical infrastructure and mission-critical use cases against evolving threats. In a previous white paper, 5G Americas covered some of these actions in greater detail.
Looking ahead, the emergence of 6G networks will amplify AI’s role in telecommunications. These networks will enable new applications, from autonomous systems to immersive virtual experiences, but they will also face more sophisticated threats. The AI-centric architecture of 6G may present new attack vectors, necessitating robust security measures to protect against potential threats. Proactive measures like secure AI development practices and continuous monitoring will be essential to maintaining the trust and reliability of these networks.
Additionally, AI’s growing footprint also raises questions about sustainability. Training and deploying large-scale AI models can consume significant energy, creating new vulnerabilities. Addressing these challenges requires innovation, including energy-efficient AI designs and advanced monitoring systems to prevent misuse.
No single organization can address these challenges alone. Partnerships across the industry are critical to developing interoperable standards and sharing threat intelligence. Initiatives like the GSMA’s AI Working Group and the Linux Foundation’s AI projects are excellent examples of how collaboration can drive progress.
Overall, AI has the potential to revolutionize telecommunications, delivering innovations we’ve only begun to imagine. But with great potential comes great responsibility. By addressing security challenges head-on, fostering collaboration, and aligning innovation with ethical practices, we can ensure that AI-driven networks remain resilient and trustworthy.
As we prepare for 6G and beyond, the stakes are high. But with the right approach, we can build a future where AI not only transforms our networks but strengthens the trust that underpins them. Together, we can unlock the full potential of AI while safeguarding the integrity of the systems that connect us all.
