Security

Network and connectivity security spans the technologies and practices that protect networks, devices, and data from a growing range of threats — from supply-chain and signaling attacks to threats against private networks, IoT, and critical infrastructure. As networks become more software-defined, distributed, and open, the attack surface expands, and security shifts from a perimeter model toward zero-trust, identity-based, and AI-assisted defense. For operators and enterprises, security is now central to private networks, 5G standalone, edge, and IoT decisions rather than an afterthought. Regulation and nation-state activity have raised the stakes further. This channel covers security across telecom and enterprise connectivity — private and public network security, zero trust, IoT and OT, and the threats shaping the landscape — with analysis aimed at teams securing modern, distributed networks against evolving risk.

Private 5G and LTE networks are becoming essential to smart port strategies worldwide. This article explores how ports are deploying private wireless, edge computing, and AI to automate operations, improve safety, reduce emissions, and drive ESG goals. Learn from 10 real-world deployments of Private Networks for Ports that are shaping the future of Smart Ports.
The telecom industry is evolving fast, driven by the rise of AI and real-time data demands. Telcos are moving from legacy connectivity models toward becoming AI-powered intelligence infrastructure providers. This transformation spans infrastructure modernization, distributed AI, operational automation, and monetization shifts, from selling bandwidth to delivering tailored digital experiences.
Across roughly 2,000 decision-makers in telecom, data center, and large enterprises, a strong majority doubts that existing infrastructure will keep up with AI’s next wave. In the US, most respondents expect network buildouts to lag AI investment and call out near-term priorities such as optimizing bidirectional data flows, expanding fiber capacity, enabling real-time training feedback, and placing low-latency compute closer to users. In Europe, most enterprise leaders say current networks are not ready for broad AI adoption; many already report latency, throughput, and resiliency pain as data demands rise. The common thread is clear: without accelerated modernization, networks risk becoming the bottleneck that constrains AI outcomes.
UK regulator Ofcom has opened formal investigations into BT (including EE) and Three after nationwide voice service outages this summer impaired access to other networks and to emergency services. BT notified Ofcom of a software-related failure that disrupted interconnect voice services to and from the EE mobile network on 24–25 July 2025. During the incident, many BT and EE customers could not complete mobile calls to other networks or reach emergency services. Three separately reported a UK-wide disruption to voice services on 25 June 2025, which also affected some customers’ ability to contact emergency services.
Orange has signed a binding agreement to buy Lorca’s remaining 50% stake in MasOrange for 4.25 billion euros in cash, targeting completion in the first half of 2026 subject to customary approvals. The agreement transitions MasOrange from a 50:50 joint venture to a wholly owned subsidiary of Orange, consolidating governance and simplifying decision-making across mobile, fixed, and converged operations in Spain. At closing, MasOrange is expected to be fully consolidated into Orange’s accounts, including MasOrange debt that Orange plans to refinance at or after completion, providing flexibility to optimize the capital structure and cost of capital.
Orange Money Group and Visa are expanding a strategic partnership that brings a virtual Visa card into the Orange “Max it” app, letting users fund purchases directly from their mobile money balance for local and international e-commerce. The service is live in Botswana, Madagascar, Jordan, and now Côte d’Ivoire, with rollouts planned for Guinea, Burkina Faso, and the Democratic Republic of Congo. For Orange Middle East and Africa, which serves over 170 million customers in 17 countries and counts tens of millions of active mobile money wallets, this extends acceptance to the global Visa network while preserving the simplicity of a wallet-led user experience.
3GPP has become the organizing framework for how public safety, utilities, transportation and enterprise security adopt LTE/5G for mission-critical communications (MCX). For mission-critical users, 3GPP’s scope includes capabilities such as push-to-talk, data and video designed for high availability, priority, pre-emption and end-to-end security. For agencies and enterprises, the value of 3GPP is practical: it lowers integration risk, clarifies feature expectations and aligns multi-year investment roadmaps. Standards are the foundation; operational reliability is the measure of success. 3GPP is the baseline for resilient, interoperable operations.
Disney will invest $1 billion in OpenAI and become Sora’s first major content licensing partner, enabling fans to generate and share short videos that feature more than 200 characters and environments from Disney, Pixar, Marvel, and Star Wars. The agreement spans three years, excludes actor likenesses and voices, and extends to ChatGPT Images for IP‑compliant image generation. Disney will adopt OpenAI APIs across products and operations, including features for Disney+ and employee productivity, and may showcase select user creations on its streaming service. This agreement formalizes licensed synthetic media at scale and accelerates the convergence of UGC, premium IP, and AI tooling.
2025 has seen major telecom and tech M&A activity, including billion-dollar deals in fiber, AI, cloud, and cybersecurity. This monthly tracker details key acquisitions, like AT&T buying Lumen’s fiber assets and Google’s $32B move for Wiz, highlighting how consolidation is shaping the competitive landscape.
IBM has agreed to acquire Confluent for $31 per share in cash, signaling a decisive move to make real-time, governed data the backbone of generative and agentic AI across hybrid cloud environments. The transaction values Confluent at an enterprise value of roughly $11 billion, with closing targeted by mid-2026 pending shareholder and regulatory approvals. Together they aim to unify application, data, and AI pipelines across public clouds, private data centers, and edge locations—reducing integration friction and accelerating time to value for enterprise AI.
Reliance Jio’s path to a mid-2026 IPO is increasingly intertwined with the timing and magnitude of India’s next mobile tariff hike. Domestic brokers argue Jio has a tactical reason to push back on near-term tariff increases: hikes tend to accelerate Bharti Airtel’s revenue market share (RMS) gains more than Jio’s, narrowing the lead at the worst possible time for an IPO. Airtel has been the key beneficiary of previous price actions, chipping away at Jio’s RMS advantage by almost two percentage points since mid-2024. On current assumptions, Jio is informally pegged around $153 billion, implying an EV/EBITDA multiple near the low teens.
A potential take‑private of DigitalBridge by SoftBank would concentrate capital, power, and build capability at the precise chokepoints of the AI and telecom stack. The center of gravity in AI infrastructure has moved from buildings and GPUs to grid access, entitlements, and construction lead time. DigitalBridge controls rights to roughly 21 GW of power across its global portfolio—effectively a banked inventory of megawatts that can be turned into contracted capacity faster than new entrants can clear interconnection queues or procure transformers. This transaction is fundamentally about compressing multi‑year build timelines for AI factories into quarters.

Frequently Asked Questions

What’s the biggest emerging security risk for telecom networks right now?
Quantum computing’s eventual ability to break current encryption standards is the dominant emerging concern, often described through the framing of ‘harvest now, decrypt later,’ where adversaries collect encrypted data today, intending to decrypt it once sufficiently powerful quantum computers exist in the future. This matters particularly for telecom given how much sensitive data flows across networks protected by encryption standards quantum computers could eventually defeat. Alongside this longer-term quantum concern, the more immediate, near-term risk involves the expanded attack surface created by 5G’s heavy reliance on cloud-native, virtualized infrastructure and exposed APIs, which gives attackers considerably more potential entry points than older, more closed network architectures presented.
Are telecom networks actually doing anything about quantum threats yet, or is it theoretical?
It’s moving from theoretical to practical. Thales demonstrated that existing deployed 5G SIM and eSIM cards can be upgraded to quantum-safe protection without service disruption, proving that mobile networks can evolve their security through crypto agility rather than requiring an entirely new generation of hardware. Operators including BT, SK Telecom, Orange, and Deutsche Telekom are running live quantum-safe networking trials, with Deutsche Telekom specifically demonstrating quantum teleportation over a meaningful distance of commercial fiber in early 2026. These aren’t purely academic exercises; they represent genuine, if still early, steps toward preparing live commercial telecom infrastructure for the eventual quantum threat.
What is post-quantum cryptography (PQC), and is there a deadline for adopting it?
Post-quantum cryptography, commonly abbreviated PQC, refers to encryption algorithms specifically designed to resist attacks from future quantum computers, in contrast to the encryption algorithms most networks currently use, which quantum computers are expected to eventually break. Regulatory pressure is real and increasingly specific: the NSA’s CNSA 2.0 standard mandates quantum-safe algorithms for new national security system acquisitions by January 2027, and the European Commission is pushing critical infrastructure sectors, including telecom, toward post-quantum readiness by 2030. These deadlines, while initially focused on government systems, are widely expected to influence broader commercial telecom security planning timelines as well, since telecom is frequently classified as critical national infrastructure.
Is AI making telecom networks more or less secure?
It cuts both ways. On the defensive side, AI dramatically speeds up threat detection by spotting unusual patterns across enormous volumes of network traffic far faster than manual monitoring, and it increasingly powers automated incident response. On the risk side, AI agents given meaningful operational access to network systems represent a genuinely new kind of attack surface; if an agent’s decision-making can be manipulated, or its access misused, the consequences could be more severe than a typical software vulnerability, since the agent is specifically designed to take autonomous action on live infrastructure rather than simply process and report information.
Are 5G networks more vulnerable than older networks, or more secure?
5G’s expanded use of cloud-native, virtualized infrastructure and exposed APIs creates a larger attack surface than older, more closed network architectures, since there are simply more distinct software components and potential entry points for an attacker to target. At the same time, 5G’s architecture also enables faster patching, since updating virtualized software is generally quicker than physically replacing hardware, network slicing isolation, which can contain a security incident within one affected slice, and AI-based monitoring capabilities that weren’t practically possible on older, less data-rich legacy hardware. The honest assessment is that 5G is both more exposed in certain ways and better equipped to detect and respond to threats quickly in others.
What is ‘harvest now, decrypt later,’ and why does it matter even before quantum computers are powerful enough to break encryption?
‘Harvest now, decrypt later’ describes a strategy where an adversary intercepts and stores encrypted data today, even without the current ability to break that encryption, specifically betting that future quantum computers will eventually be powerful enough to decrypt it retroactively. This matters even before such quantum computers actually exist, because any sufficiently sensitive data encrypted today using standard, currently-vulnerable algorithms could theoretically be exposed years from now once quantum decryption capability matures, meaning organizations handling especially long-lived sensitive data face exposure risk regardless of how far away the quantum threat currently seems. This is precisely why regulators are pushing for PQC adoption now, well before quantum computers are actually capable of breaking current encryption.
What role do network APIs play in expanding or reducing telecom security risk?
Network APIs, which let third-party developers access specific carrier capabilities like location data or SIM status, introduce both new monetization opportunities and new security considerations operators need to manage carefully. Each exposed API represents a potential new entry point that needs rigorous authentication and monitoring, since a poorly secured API could potentially expose sensitive subscriber data to unauthorized parties. At the same time, well-designed network APIs can actually improve security in certain ways, for instance by giving banks access to fraud-prevention signals like SIM swap detection. The net security impact of network APIs ultimately depends heavily on how rigorously operators implement access controls and ongoing monitoring.
How are telecom operators securing IoT devices specifically, given how many are deployed?
Securing the enormous number of IoT devices connected to telecom networks presents distinct challenges compared to securing a smaller number of more capable, actively managed devices like smartphones. Operators increasingly rely on network-level security measures, like specialized IoT-focused firewalls and traffic monitoring tuned to detect unusual behavior, rather than depending entirely on each individual device having strong built-in security, since many IoT devices have limited processing power for running sophisticated security software directly. Some operators also offer dedicated, isolated network slices specifically for IoT traffic, helping contain the potential impact if a vulnerability in one device category is exploited, preventing that compromise from spreading into the rest of the network.
Security in Private 5G Networks: A Practical Guide for Enterprises

As enterprises move deeper into digital transformation, private 5G has emerged as a pragmatic answer to a specific problem: how to deliver controlled, reliable, and secure wireless connectivity where public networks fall short. Unlike public 5G, a private network is built around the needs of a single organization, offering tailored capacity, customization, and coverage in environments that defeat conventional wireless.

That value is clearest in demanding settings. Industrial operations that depend on low-latency machine-to-machine communication, and businesses spread across large campuses, both gain from a network they own and control.

But control cuts both ways. The same architecture that makes private 5G powerful also makes security a first-order design question rather than an afterthought. In a threat landscape that grows more sophisticated each year, securing a private 5G deployment is not a feature to bolt on later. It is part of the build.

The right approach is grounded and comprehensive. It accounts for the current threat environment, the vulnerabilities inherent to the technology, and the critical business functions the network supports. For most enterprises, the real question is not whether to adopt private 5G, but how to stand up a security posture that is resilient, adaptable, and matched to the risks this technology introduces.

Is Private 5G the Most Secure Option?

Security is the headline advantage cited for private 5G, but the honest answer is more nuanced than "yes." Private 5G is not automatically the most secure connectivity option in every dimension. What it offers is the strongest balance of security, flexibility, and scale, which is why it fits enterprises that need both protection and reach.

What makes private 5G secure

The security of private 5G starts with its architecture. In its most secure form, the network is fully isolated from the public network, hosted and managed on-site, and operated entirely by the enterprise. That isolation removes the network from the open internet and the vulnerabilities that come with it. On top of it, private 5G layers advanced encryption, strict access controls, and close monitoring of network traffic. Together these create a framework that is far less exposed to unauthorized access and external threats. Network slicing adds another dimension. By carving the network into separate virtual segments, each with its own security policy, an enterprise can match controls to the sensitivity of the data flowing through each slice.

What are the Best Practices for Securing Enterprise Private 5G?
  • Strong private 5G security comes from layering deliberate practices on top of the network’s built-in features. Enterprises should start by building security directly into the network architecture. This begins with strict access control, including SIM-based authentication paired with role-based access, so only authorized users, devices, and applications can connect. Advanced encryption should be applied to data at rest and in transit, supported by disciplined encryption key management. Network slicing can further strengthen security by creating separate, secure virtual networks for different operations, teams, or use cases. Regular audits and ongoing compliance checks are also essential to ensure the network continues to meet relevant industry standards and regulatory requirements. In addition, 5G-specific security controls should be integrated with the enterprise’s existing security infrastructure, with careful planning around the unique requirements of private 5G environments.
  • Effective private 5G security also depends on how threats and people are managed. Enterprises should deploy advanced threat detection capabilities to identify breaches or abnormal behavior early, and they should support those tools with a clear incident response plan that enables teams to act quickly when an issue occurs. Staff training is equally important. Employees and operational teams need to understand 5G security protocols, device access rules, and incident escalation processes. Security awareness should become part of normal operations, not an occasional training exercise. Enterprises should also work closely with service providers, technology vendors, and system integrators under a clear shared-responsibility model, so every party understands its obligations and meets the enterprise’s security standards.
  • Organizations should also recognize the limits of private 5G’s “secure by design” foundation. Private 5G is not immune to attack, and built-in security should be treated as a starting point rather than a complete defense. A strong posture requires additional layers, including continuous monitoring, real-time threat detection, and an end-to-end view across every component of the network. This is especially important at the points where IoT, OT, and enterprise IT systems intersect. Regular software updates and patching are non-negotiable, as outdated systems can quickly become weak points. Physical security also matters, particularly for network equipment located in Radio Access Network areas, edge sites, and other operational environments.
  • Private 5G gives enterprises a level of control that public networks cannot provide, and that control is the source of both its security advantages and its responsibilities. The technology is not secure by default in every dimension, but with isolation, encryption, slicing, continuous monitoring, and a disciplined operational posture, it can deliver a strong combination of security, flexibility, and scalability. For enterprises weighing connectivity options, the question is less about whether private 5G can be secure and more about whether the organization is ready to build, operate, and maintain the security posture that makes it so.
How it compares to other options

A fair comparison puts private 5G alongside private LTE, Ethernet, and WiFi rather than against public 5G alone:

Feature Private 5G Private LTE Ethernet (Wired) WiFi
Isolation Full isolation possible Full isolation possible Inherently isolated Shared medium, less isolated
Encryption Advanced encryption Less advanced than 5G Depends on protocol Less robust
Access control SIM-based authentication SIM-based authentication Physical and protocol-based SSID and password
Network control Full on-site control Full on-site control Full control, limited flexibility Less control, more exposure
Network slicing Supported Not supported Not applicable Not supported
Edge computing integration Seamless, enhances security Possible, less integrated Possible, can be very secure Less integrated
Traffic monitoring Easier, software-defined Harder than 5G Easier, fixed pathways Harder
Attack surface Reduced by isolation Reduced by isolation Minimal, no wireless access Larger, wireless access
Physical security High, controlled environment High, controlled environment Very high, hard to tap Lower, easier to intercept
Scalability High, with slicing Scalable, no slicing Limited Scalable but less secure

The table makes the trade-off clear. Ethernet is exceptional on physical security and isolation, but it cannot match private 5G for flexibility, mobility, or scale, particularly when supporting large fleets of IoT devices and mobile users. Private LTE is secure but lacks 5G capabilities like network slicing. WiFi is convenient and widely deployed, but its shared medium leaves it more exposed to interference and eavesdropping.

No single option wins on every axis. The right choice depends on what the enterprise needs to protect and how dynamic its environment is. For organizations that need strong security without sacrificing scale and mobility, private 5G is usually the best fit.

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