Security

AI is playing a key role in telecom security by strengthening threat detection, fraud prevention, and regulatory compliance. As 5G, IoT, and edge computing expand, telecom networks face cyber threats such as AI-specific attacks, network intrusions, and data breaches. AI-powered security solutions provide automated threat response, anomaly detection, and AI lifecycle protection, helping telecom providers maintain a secure and resilient network infrastructure.
AI is transforming the relationship between telcos and hyperscalers like AWS, Google Cloud, and Microsoft Azure. With AI-driven automation, cloud-native networks, and edge computing, telecom operators are optimizing efficiency, reducing costs, and unlocking new revenue streams. As AI-powered innovations reshape 5G, cybersecurity, and digital services, these strategic partnerships are set to redefine the future of telecom.
Hanyang University Hospital in Guri, South Korea, has deployed an advanced private 5G network from HFR Mobile, revolutionizing healthcare operations. The network supports AI-powered patient monitoring, real-time infusion tracking, and secure data communication. This milestone showcases private 5G’s potential in addressing critical safety and efficiency challenges while paving the way for future innovations like robotic surgeries and IoT-based predictive healthcare.
Ericsson introduces the generative AI-powered NetCloud Assistant (ANA) to simplify enterprise 5G operations. Integrated with Ericssonโ€™s NetCloud platform, ANA provides personalized answers, automates troubleshooting, and enhances network efficiency securely within Ericssonโ€™s ecosystem. Key features include knowledge summarization, step-by-step configuration assistance, and policy recommendations. Learn about ANAโ€™s future innovations at NRF 2025.
Verizon Business has secured a contract to enhance 5G and 4G LTE networks at 35 U.S. Air Force bases. Under the Air Forceโ€™s Offer to Lease (OTL) program, Verizon will deploy critical upgrades, including C-Band carrier layers, macro towers, and small cell installations. These enhancements will improve speed, bandwidth, and latency, supporting military operations, personnel, and surrounding communities.
Edge computing is transforming telecom by enabling efficient 5G networks. By processing data closer to its source, it minimizes latency, reduces network congestion, and supports real-time applications like IoT, AR, and remote healthcare. Learn how this transformative technology tackles challenges like infrastructure costs and security while opening new revenue streams and enhancing customer experience.
Europe is witnessing a surge in politically motivated hacktivist cyberattacks, as revealed by Orange Cyberdefense’s Security Navigator 2025. The report highlights the rise of cognitive warfare, the targeting of critical infrastructure, and the dual role of AI in cybersecurity. Learn why proactive measures and education are vital to counter these growing threats.
Private 5G/LTE and CBRS networks are revolutionizing industries by enabling smarter cities, safer workplaces, and more efficient factories. This edition celebrates award-winning deployments and insights from industry leaders who are driving digital transformation. Explore real-world examples of how these networks optimize manufacturing operations, enhance supply chain visibility, and promote sustainable practices, making grids resilient and industries future-ready.

Award Category: Excellence in Private Network Security

Winner: OneLayer


OneLayerโ€™s innovative Zero Trust and Zero-Touch automation solutions provide unmatched security, visibility, and scalability for private LTE/5G networks. This approach has earned OneLayer the prestigious TeckNexus 2024 Award for “Excellence in Private Network Security,” recognizing their contributions to safeguarding private networks. By implementing robust security frameworks and automated device management, OneLayer empowers industries to efficiently manage and protect complex private cellular networks, enhancing network integrity and resilience through unmatched visibility, automated onboarding, and scalable security measures.
The U.S. Department of Defense has unveiled its strategy for deploying private 5G networks to enhance operational capabilities, connectivity, and security across military installations. This initiative, tied to the DoD’s modernization plans, focuses on mission-specific 5G solutions, streamlined acquisitions, and Open RAN innovation.
The article discusses the potential of Small, Specialized, and Symbolic Learning Machines (SLMs) in Behavioral Intelligence (BI) Artificial Intelligence (AI) decision engines. Unlike traditional machine learning models, SLMs use symbolic reasoning to make decisions and provide clear explanations for their predictions. This transparency is crucial in sensitive areas where decision-making explanations are essential. The article explores various applications of SLMs in BI AI decision engines and concludes that SLMs offer a promising pathway towards more energy-efficient and sustainable AI, reducing computational demands and enabling edge deployment while providing comparable performance for specific tasks.

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