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Security Gaps Imperil Private 5G Networks Amid AI Boom

In This Article:

New research reveals next-gen private wireless network deployments are surging, but lack of
proactive security measures raises serious concerns

DALLAS, March 3, 2025 /PRNewswire/ -- Trend Micro Incorporated (TYO: 4704; TSE: 4704), a global cybersecurity leader, today released new joint research with CTOne* warning that a lack of communications technology (CT) expertise could be exposing private 5G networks to compromise, despite the widespread adoption of AI security tools.

Trend Micro logo (PRNewsfoto/Trend Micro Incorporated)
Trend Micro logo (PRNewsfoto/Trend Micro Incorporated)

To learn more about Trend and CTOne's activities at MWC Barcelona 2025, please visit: https://resources.trendmicro.com/Mobile_World_Congress_MWC_2025_LP.html

Rachel Jin, Chief Enterprise Platform Officer at Trend: "Not all AI security is created equal, and some organizations are putting themselves at risk due to lack of know-how. Proactive attack surface management is crucial for private 5G networks, where any oversight can open the door to compromises. Security leaders must combine AI-powered protection with a deep understanding of technology and cyber risk to safeguard these critical environments."

Private 5G networks are booming thanks to their use across critical industries including energy and utilities, military, logistics, healthcare, and smart manufacturing. 100% of Trend survey respondents revealed they are either currently using them (86%) or evaluating their deployment (14%).

IT and cybersecurity professionals also appear to understand the potential benefits of AI-powered security in these environments: nearly all said they are either currently using (62%) or planning to use (35%) such tools for private 5G networks.

They view the following AI-powered capabilities as essential in this regard:

  • Predictive threat intelligence (58%)

  • Continuous, adaptive authentication (52%)

  • Zero trust enforcement (47%)

  • Self-healing networks featuring AI automation (41%)

Jim Frey, Principal Analyst, Networking for ESG: "Organizations are finding great operational value from private 5G networking, often as a part of AI projects. But they must ensure that their security operations center is prepared to monitor and protect this emerging communications technology. Cybersecurity providers that can deploy proactive risk management, attack path prediction, and other proactive measures will be well positioned to help protect private 5G and AI architectures."

More than nine in ten organizations currently using AI security admit to facing challenges in deploying the tech to private 5G networks. High costs (47%), concerns over false positives/negatives (44%), and a lack of internal expertise (37%) were most frequently cited.