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.

Cisco’s Secure AI Factory with NVIDIA, now integrated with VAST Data’s InsightEngine, targets the core blocker to agentic AI at scale: getting proprietary data to models quickly, securely, and at enterprise breadth. The new joint solution aims to collapse RAG pipeline delays from minutes to seconds, reduce integration risk with validated reference designs, and keep every interaction within security and compliance controls. By aligning Cisco’s AI PODs, NVIDIA’s AI Data Platform and DPUs, and VAST’s data intelligence layer, the offering provides a turnkey workload data fabric for production-grade AI agents. Cisco AI PODs now ship with VAST InsightEngine using NVIDIA’s AI Data Platform reference design, turning raw enterprise data into AI-ready indices and vectors in near real time.
AI is shifting network design from throughput-first to data- and compute-aware architectures, where radios, baseband, and transport must expose telemetry for model training and inference at the edge. Consolidating 3GPP standardization, silicon design, radio development, lab verification, and New Product Introduction (NPI) in one campus shortens feedback loops between research, productization, and manufacturing. That is essential as the industry transitions through 5G-Advanced (3GPP Releases 18–19) to early 6G concepts such as joint communication and sensing, RAN compute offload, and AI-native control loops.
Fresh data from Nokia and GlobalData shows that private wireless and on-premise edge are delivering rapid ROI, unlocking AI at scale, and improving security and sustainability across industrial sites. Industrial operations need deterministic connectivity, real-time data, and strong security to automate safely and sustainably. Across 115 organizations, 87% of adopters reported a return on investment within one year after deploying private wireless with on-prem edge. Setup costs were lower than alternatives for 81% of respondents, and 86% cut ongoing costs. Critically, 94% deployed on-prem edge alongside private wireless, and 70% are already powering AI use cases.
Private 5G Networks are enterprise-controlled wireless systems offering secure, reliable, and high-performance connectivity. Learn what Private 5G Networks are, how they compare to Wi-Fi and public 5G, and how industries like manufacturing, logistics, and healthcare use them to power automation, IoT, and real-time data applications.
Orange Belgium confirmed a data breach in late July 2025 that compromised the SIM card identifiers and PUK codes of over 850,000 users, significantly increasing the risk of SIM-swap and port-out fraud. Although passwords and financial data were not stolen, the exposed metadata could be exploited for identity impersonation. With GDPR and NIS2 compliance in focus, telecom operators must urgently address SIM security, MFA vulnerabilities, and customer trust through stronger authentication and breach transparency.
Reliance Jio's 2026 IPO could be India’s largest public listing, with a projected valuation between ₹10–12 lakh crore. As Jio Platforms prepares to float 2.5–5% equity, the move could reshape 5G pricing, digital infrastructure investments, and ARPU strategies across the telecom stack. With cloud, AI, and enterprise services gaining traction, Jio’s IPO positions it as a multi-product digital powerhouse. Airtel and Vodafone Idea may face intensified competition as capital deployment and service bundling accelerate.
Artificial Intelligence promises to revolutionize the telecom industry, but many organizations struggle to see a return on their AI investments due to flawed implementation. The path to real AI success lies in prioritizing trust, security, and people, fostering an AI-driven culture. This involves building human oversight into every stage, developing intuitive tools, and empowering teams with training. Embracing this human-centered approach unlocks benefits like optimized network performance and enhanced customer experience.
TELUS moved beyond experiments to enterprise adoption: 57,000 employees actively use gen AI, more than 13,000 custom AI solutions are in production, and 47 large-scale solutions have generated over $90 million in benefits to date. Time savings exceed 500,000 hours, driven by an average of roughly 40 minutes saved per AI interaction. The scale is notable: Fuel iX now processes on the order of 100 billion tokens per month, a signal that the platform is embedded in day-to-day work rather than isolated to innovation teams. TELUS designed for trust from the start: its Fuel iXpowered customer support tool achieved ISO 31700-1 Privacy by Design certification, a first for a gen AI solution.
Comcast is migrating Xfinity residential email accounts to Yahoo Mail, a shift that underscores how ISPs are offloading non-core applications to specialized providers. Comcast is transitioning existing Xfinity email mailboxes to be hosted by Yahoo Mail while allowing customers to keep their current @comcast.net or @xfinity.com email addresses. The migration is being phased, with customers notified by Comcast when their account is eligible and given guidance to complete setup. After migration, users access their mailbox through Yahoos web and mobile clients or supported third-party email apps. Mail, folders, contacts, and calendar data are moved as part of the process, with Comcast publishing specific steps and FAQs on support pages to reduce friction.
MWC25 Las Vegas is the premier North American event for CIOs and IT leaders, offering real-world insights on 5G, AI, IoT, private networks, and edge computing. With industry leaders from IBM, Qualcomm, T-Mobile, and more, the event focuses on actionable strategies for enterprise transformation.
Kyndryls' three-year, $2.25 billion plan signals an aggressive push to anchor AI-led infrastructure modernization in India's digital economy and to scale delivery across regulated industries. The $2.25 billion commitment, anchored by the Bengaluru AI lab and tied to governance and skilling programs, should accelerate enterprise-grade AI and hybrid modernization across India. Expect more co-created reference architectures, deeper public-sector engagements, and tighter integration with network and cloud partners through 2026. For telecom and large enterprises, this is a timely opportunity to industrialize AI, modernize core platforms, and raise operational resilience provided programs are governed with clear metrics, strong security, and a pragmatic path from pilot to production.
India's AI oversight for telecom is moving from recommendations to implementation, with policy review and technical workstreams running in parallel. The Telecom Regulatory Authority of India has issued recommendations on leveraging artificial intelligence and big data in telecom, including the creation of an independent statutory authority for AI governance. The proposed Artificial Intelligence and Data Authority of India (AIDAI) is envisioned to promote responsible AI development and regulate sectoral use cases. The Ministry of Electronics and Information Technology has initiated projects with research bodies and universities focused on how to ensure and test AI trustworthiness.

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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