5G networks and ai: the lack of skills is the main risk of safety

Comolake Zoccoli INFN AI quantum computing and super computing Italy

(Finance) – The lack of skills in the field of communications technology (CT) and Security exposes 5G private networks to compromises, despite the widespread adoption of safety tools based on artificial intelligence. The data emerges from “Securing 5G Private Networks: The Opportunities and Risks of Ai”, the latest Trend Micro Research, Global leader of Cybersecurity, in collaboration with Cone, global leader of Cybersecurity for communication technologies. The study also involved a sample of Italian companies.

“Not all security based on artificial intelligence is the same and some organizations are in danger due to the lack of skills. Proactive management – he says Rachel Jin, Chief Enterprise Platform Officer of Trend – of the attack surface is essential for the 5G private networks, put at risk by any ease or superficial action. To protect these critical environments, security managers must use protection based on artificial intelligence in combination with a profound knowledge of technology and IT risk “.

The Private 5G networks Thanks to their use in critical sectors such as Energy, Utility, Military, Logistics, Health and Smart Manufacturing are in rapid expansion. 86% of the sample interviewed are currently using them, while 14% are evaluating their implementation. The IT and Cybersecurity professionals seem to understand the potential advantages of safety based on artificial intelligence in these environments: 62% say they already use safety solutions for the depriving 5g 5g networks and 35% planned it.

These are the features based on artificial intelligence considered essential: Predictive information on threats (58%)
Continuous and adaptive authentication (52%); Zero Trust criteria (47%); Networks that self -produce themselves thanks to artificial intelligence based automation (41%).

Over nine out of ten managers, who already use safety based on artificial intelligence, admit that they have to face important challenges when they implement this technology on private 5G networks. Among the Criticality mentioned The highest costs (47%), concerns on false positive/negative (44%) and the lack of internal skills (37%).

There lack of know-how on communication technologies It is underlined by the fact that only a fifth (20%) of organizations, all over the world, has a dedicated team for the protection of communication networks. In many cases, safety is the responsibility of the CTO (43%) or the IOC (32%).

“The acceleration of the Enterprise use of public and private mobile networks – he declares Jason Huang, Cone CEO – has determined the birth of new challenges, which require specific safety skills. Organizations must guarantee wide end-to-end visibility that adapts to secops needs and that allows you to manage the risk of the attack surface, when it expands to support the latest wireless applications “.

On average, the organizations assign Less than a fifth (18%) of the safety budget for private 5G networksAlthough these support critical services and Veicolino highly sensitive data. The research reveals that organizations that cannot correctly use artificial intelligence for monitoring and traffic analysis can expose themselves, even involuntarily, to IT risks and conformity.

In detail, only half or less of the sample declares to: guarantee compliance with data privacy regulations such as GDPR (54%); encrypt the inactive and transit data (51%); implement severe access controls for AI models (50%); Use data anonymization techniques (44%).

Research methodology and sample – The research, commissioned by Trend Micro & Cone, was conducted by Sapio Research and involved 800 IT managers and Cybersecurity in France, Germany, Japan, Italy, the United Kingdom, Spain and the United States. All interviewees work in companies with more than 250 employees who use a private 5G network or are evaluating their implementation.

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