5G

Infosys and Anthropic Claude: AI Agents for Telecom

Infosys and Anthropic Claude: AI Agents for Telecom
A new partnership between Infosys and Anthropic brings agentic AI into regulated, process-heavy industries, with telecom squarely in scope. Infosys will integrate Anthropic’s Claude models and Claude Code with its Topaz portfolio to build and operate enterprise-grade AI solutions across telecom, financial services, manufacturing, and software engineering. The collaboration emphasizes agentic AI—systems that can plan, call tools, and execute multi-step workflows with oversight—delivered with the controls, auditability, and policy enforcement that regulated sectors demand. Pairing Infosys’s domain depth with Claude’s reasoning and long-context capabilities gives operators a path to pragmatic automation that respects regulatory, safety, and transparency requirements.

India’s AI stack needs AI-native networks: Ericsson CTO

India’s AI stack needs AI-native networks: Ericsson CTO
India’s AI agenda increasingly spans silicon, data platforms, models, and applications, with an intent to catalyze domestic innovation and contribute to global ecosystems. For telecom leaders, the message is clear: AI is not a bolt-on capability but a system-level transformation that touches RAN, core, transport, cloud, and the enterprise edge. The AI economy runs on connectivity—low-latency access to data, assured bandwidth, location-aware processing, and programmable control. The operators that can fuse connectivity, compute, and data into a cohesive platform will set the pace for India’s next wave of digital growth.

OpenAI AI Devices: Multimodal Hardware Roadmap

OpenAI AI Devices: Multimodal Hardware Roadmap
OpenAI is reportedly building a portfolio of AI-native devices, signaling a push beyond software and into ambient, multimodal computing that will touch homes, workplaces, and networks. Multiple reports indicate OpenAI has over 200 people developing a family of AI-enabled hardware, with a smart speaker expected to debut first. Early guidance points to a price in the $200–$300 range and a ship window no earlier than February 2027. The device is said to include a camera to capture contextual information about users and surroundings—an explicit bet on multimodal AI that fuses voice, vision, and environment for richer interactions.

Ericsson and Mistral AI: Telco-Grade Network Automation

Ericsson and Mistral AI: Telco-Grade Network Automation
Ericsson and Mistral AI are aligning telecom-grade engineering with customizable foundation models to push AI deeper into network operations and RAN automation. The pairing marries Mistral AI’s fast-evolving model stack with Ericsson’s domain expertise across radio, cloud-native networking, and service management. For European operators, it signals a path to AI capabilities that respect data residency, security, and compliance expectations under the EU AI Act without ceding control to generic, hyperscaler-led platforms. The outcome operators want is simple: measurable gains in performance, efficiency, and resiliency with governance baked in.

Private Network Security Ecosystem

Private LTE, 5G, and CBRS networks are becoming the backbone of industrial operations. This article maps private network security vendors to a Four Pillars framework—Core Controls, Device Visibility, Detection & Response, and Orchestration—revealing where structural gaps emerge in real-world industrial deployments. From slice isolation and SIM lifecycle governance to OT micro-segmentation and SOC integration, it explains why layered enforcement—not vendor breadth—determines private 5G security resilience.

Monitoring, Assurance & Testing for Private LTE/5G

Monitoring, Assurance & Testing for Private LTE/5G
Private LTE and 5G security does not fail because of flawed architecture—it fails when enforcement controls degrade silently. This guide explains how enterprises implement continuous monitoring, assurance, and testing loops across control-plane signaling, user-plane routing, identity governance, and industrial OT environments. Learn how to validate segmentation integrity, detect policy drift, test Zero Trust enforcement, and produce audit-ready evidence across multi-site private cellular deployments.

Device Identity, OT & IoT Security in Private Cellular Networks

Device Identity, OT & IoT Security in Private Cellular Networks
Private LTE and 5G networks strengthen authentication at the transport layer—but device identity, lifecycle governance, and OT/IoT realities determine whether containment holds. This in-depth guide explains SIM and eSIM authentication models, service-profile authorization, identity drift risks, industrial gateway mediation, and Zero Trust containment strategies across multi-site private cellular deployments.

Zero Trust Security Blueprint for Private 5G/LTE Networks

Zero Trust Security Blueprint for Private 5G/LTE Networks
This Zero Trust security blueprint for Private LTE and 5G networks explains how session-based authorization, control-plane policy decisions, and user-plane enforcement create deterministic micro-segmentation across industrial and OT environments. Mapping private cellular architecture to NIST SP 800-207, the article details how operational zones, service profiles, and containment principles protect production-critical systems under mobility and scale.

Boldyn brings neutral host 5G to Silverstone Circuit

Boldyn brings neutral host 5G to Silverstone Circuit
Boldyn Networks is rolling out a neutral host 5G upgrade at Silverstone that shifts the circuit from seasonal stopgaps to a year-round, high-capacity mobile platform for fans, teams, and broadcasters. The architecture spans 25 locations, with 57 sectors engineered across 87 DAS zones to handle concentrated traffic and maintain performance under crowd pressure. The design anticipates surges in uplink and signaling, supports concurrent sessions at scale, and smooths throughput across hotspots. A permanent, multi-operator 5G foundation unlocks new revenue, better service metrics, and more efficient event delivery. When connectivity works, dwell time, spend, and satisfaction rise.

India AI infrastructure investment: $200B bid by 2028

India AI infrastructure investment: $200B bid by 2028
India is moving to anchor a larger slice of global AI compute by pairing policy incentives with large-scale private capital and renewable power. New Delhi has outlined plans to attract more than $200 billion for AI infrastructure over the next two years, positioning the country as a production base for compute, data, and advanced applications rather than a pure consumer market. The policy stack aims to reduce friction for export-oriented AI services while widening access to shared compute for startups and enterprises. Adani Group plans to invest $100 billion through 2035 to build renewable-powered, AI-optimized data centers across India.

Ericsson AI rApp on AWS Accelerates Autonomous Networks

Ericsson AI rApp on AWS Accelerates Autonomous Networks
Ericsson has introduced an agentic rApp delivered as a cloud service on Amazon Web Services (AWS), aiming to speed operators’ shift from manual automation toward truly autonomous networks. By offering an “Agentic rApp as a Service” on AWS, Ericsson is packaging policy-driven and AI-assisted RAN optimization as a managed, cloud-delivered capability. Agentic capabilities bring reasoning, planning, and action-taking to operations. Running rApps on AWS offers elasticity, global reach, and faster release cadence. The goal: faster onboarding, lower integration friction, and a more repeatable path to closed-loop assurance across multi-vendor 4G/5G networks.

Cognizant and Google Cloud Operationalize Agentic AI

Cognizant and Google Cloud Operationalize Agentic AI
Cognizant is expanding its partnership with Google Cloud around Gemini Enterprise and Google Workspace, and it is putting real skin in the game by rolling out this stack internally to boost productivity and delivery velocity. The company is forming a dedicated Gemini Enterprise Center of Excellence and codifying repeatable delivery with an Agent Development Lifecycle that embeds AI across design, build, validation, and production. It is also packaging accelerators—Cognizant Ignition for discovery and data readiness and Cognizant Agent Foundry for no-code, pre-configured agents targeting use cases like AI-powered contact centers and intelligent order management.

Your Brand. Our Intelligence Tools.

Capture leads at the point of evaluation. Talk to Us →

Sponsored by Palo Alto Networks
⚡ Utilities ⏱ 8 min ✓ Free
This tool is built and hosted by TeckNexus.
Launch Tool →

Sponsored Content

How Secure AI-Enabled Private Mobile Networks Transform Utility Operations
How Secure AI-Enabled Private Mobile Networks Transform Utility Operations
Whitepaper
This whitepaper explains how utilities can use secure AI-enabled private mobile networks to modernize operations, support distributed intelligence, improve resilience, and strengthen cybersecurity across critical infrastructure. It covers AI applications, private network advantages, zero trust principles, multilayered security architecture, and governance considerations for AI-ready utility environments....
The Evolution of Non-Terrestrial Networks (NTN)
Whitepaper
Non-terrestrial networks are rapidly evolving from experimental satellite systems into an increasingly important part of the global 5G connectivity landscape. This eBook, developed by Radisys in collaboration with TeckNexus, explores how 3GPP standardization, satellite architecture innovation, and software-driven network design are reshaping NTN deployment models. It examines the transition from...
Private 5G Network Security: 4 Pillars for Securing Private 5G, LTE & CBRS
Private 5G Network Security: 4 Pillars for Securing Private 5G, LTE & CBRS
Whitepaper
Private cellular networks are transforming industrial operations, but securing private 5G, LTE, and CBRS infrastructure requires more than legacy IT/OT tools. This whitepaper by TeckNexus and sponsored by OneLayer outlines a 4-pillar framework to protect critical systems, offering clear guidance for evaluating security vendors, deploying zero trust, and integrating IT,...

Explore Magazines ->

It seems we can't find what you're looking for.

Scroll to Top

Is Your Utility’s Private Network Secure?

Map your security gaps to real threat scenarios – including Salt Typhoon, Volt Typhoon, AI data poisoning, rogue devices, and unencrypted OT traffic.

Private Network Security for Utilities - Tool
Take the Free Assessment

Take the free 8-minute assessment built for utility operators evaluating AI-enabled private mobile networks. Get a readiness score across five critical domains, see where your gaps are, and receive a prioritized action plan for what to fix first.

Free • 8 minutes • Built for private network security