With more distributed applications, multi-cloud architectures, and real-time AI demanding higher volumes of data movement over enterprise networks, traditional WAN architectures are hitting their limits. On-premise IT teams are presented with initiative timelines that stretch out long past the provisioning of new systems, difficult-to-sell 5-10 year bandwidth commitments, and a chronic lack of transparency over hybrid network spend and performance. Lumen Intelligent Internet raises the entire challenge to a new level blending a software defined network managed environment with its expansive fiber backbone, enabling IT to take control of network capacity operationally, as simply as managing a cloud of compute.

Dynamic Capacity and Programmatic Network Orchestration

The core proposition of Lumen Intelligent Internet is to deliver network management off of rigid hardware stacks and host it on a nimble, API-enabled software overlay. Via a digital portal (or directly via API integrations), enterprise network teams can scale bandwidth budget (up or down) on demand to support archiving and backup events, peak traffic loads, migration of workloads, and high-volume data transfers.

Also Read: Soracom Introduces Soracom Agent, an AI Agent for the Full IoT Project Lifecycle 

Key technical and operational capabilities delivered by Lumen Intelligent Internet include:

On-Demand Bandwidth Elasticity: Enables real-time, self-service adjustments to network throughput without requiring physical site visits or complex hardware reconfiguration.

Programmatic API Integration: Connects network controls directly into enterprise cloud management platforms, CI/CD pipelines, and IT service management (ITSM) tools.

Predictive Performance Analytics: Continuously evaluates traffic routing, latency metrics, and network health to maintain high uptime for mission-critical applications.

Integrated Zero-Trust Security Controls: Embeds real-time threat detection, DDoS mitigation, and encrypted traffic management directly into the connectivity layer.

Consolidated Multi-Cloud Routing: Simplifies multi-cloud connectivity by creating direct, high-speed connections between corporate sites, edge environments, and major public cloud providers.

Accelerating Enterprise Digital Transformation and AI Readiness

From translating software agility into physical fiber networks, Lumen Intelligent Internet helps organizations reduce the cost of network management, accelerate their operations, and realize today’s data-intensive applications. The architecture gives CIOs and CTOs with an elastic networking platform required to implement agentic AI stacks, multi-cloud applications, and edge computing workloads gracefully within the entire global infrastructure.

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Datanomix and Hexagon, already partners in advancing Manufacturing Intelligence, have expanded their collaboration with a new connection between Hexagon’s Cloud and Datanomix G-Code Cloud + DNC. Programmers continue to work in Esprit Edge before uploading the NC program and its supporting documents to Hexagon Cloud. From there, revision control, Digital Production Bundle assembly, and controlled delivery to the machine are automated.

“Every shop has the same gap, and it’s right where programming ends, and production begins,” said Greg McHale, Founder and CEO of Datanomix. “Programming and the machine should not be two different systems of record, with people guessing whether the right program is running, the right setup sheets were used, or where the right version of these artifacts even lives. Datanomix and Hexagon built a connection that carries revision control and the full production package from print to post to part and brings what happened at the control back to the programmer who owns it.”

Also Read: Telxius Boosts Global Network Capacity and Efficiency with Nokia 800G Coherent Pluggable Deployment

How it works

1. Program the part in Esprit Edge, as usual

2. Upload the NC program, print, setup sheet, and tooling docs to Hexagon’s Cloud

3. Datanomix G-Code Cloud + DNC versions everything and files it by part number

4. Once approved, the package lands at the operator’s Machine HUD as one Digital Production Bundle  the same workspace they already use for production monitoring

5. Edits at the control come back to engineering as change requests, so the programmer decides what makes it into the next approved revision

Automated delivery from cloud to shop floor. Engineering approves the revision, and it syncs to G-Code Cloud + DNC and lands on the floor. Nothing reaches a machine that wasn’t released. No walking out to find out what’s running, or who changed it last.

A visible feedback loop to engineering. Edits made at the control are recorded against the delivered program and returned to the programmer. What changed at the machine becomes part of the record instead of getting rediscovered on the next run or worse, never discovered at all.

Zoltan Tomoga, Product Manager at Hexagon’s Production Software Division, explained: “Recurring work may return months or years later, after machines, tooling and personnel have changed. Returning controller edits to engineering as change requests helps programmers understand what was learned during the previous production run, decide what remains relevant, and incorporate the right changes into the next approved version.”

Built for regulated work

For shops running medical, defense, and aerospace programs, NC code is a controlled asset. Traceability and protection aren’t optional: encryption, version control, role-based access, a complete audit trail. Once uploaded, programs authored in Esprit Edge are managed in a platform built for CMMC 2.0, where every change is logged with who, what, when, and why.

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This partnership is one of the first prominent outside integrations for technology to be launched on Sophos Fusion. This shows that Sophos is dedicated to creating and promoting of an open and tightly-knit cybersecurity environment with partners. The integration of Nozomi’s OT data such as telemetry, details about different types of assets and threat indicators into the Sophos Fusion makes use of that data which helps Security Operations Centers (SOC) analysts track and respond to events quickly and accurately, by combining IT and OT systems, without the need to switch back and forth contexts to different consoles.

Mitigating Escalating Cyber Risks Across Critical Infrastructure

Industrial organizations and critical infrastructure operators face unprecedented security challenges as nation-state actors and cybercriminal groups intensify attacks on connected operational environments. Because many high-impact industrial disruptions originate from initial compromises within corporate IT networks, maintaining unified, cross-domain observability has become essential.

Also Read: Tanium and Censys Join Forces to Accelerate Continuous Exposure Management in the Age of AI

By feeding Nozomi’s OT context into Sophos’ defense architecture, enterprise security teams can correlate industrial threat signals with telemetry spanning endpoints, networks, identities, and multi-cloud environments.

“The intersection of IT and OT environments has long been misunderstood by the cybersecurity industry, leading to inefficiencies and potential danger for critical infrastructure,” said Matt Cowell, Vice President of Strategic Alliances at Nozomi Networks. “This partnership helps solve these problems by seamlessly integrating OT intelligence into IT security investigations so teams have the full picture when assessing their increasingly expanding attack surface.”

Streamlining Investigation Workflows and Security Automation

The technical integration delivers several key operational advantages for enterprise SOC teams and Managed Security Service Providers (MSSPs):

Contextual Data Correlation: Unifies OT asset intelligence with endpoint, network, and cloud telemetry inside a single pane of glass.

Accelerated Incident Response: Eliminates the need for security analysts to manually pivot between disjointed software consoles during active investigations.

Automated Orchestration: Enables security teams to leverage Nozomi’s OT data within automated Security Orchestration, Automation, and Response (SOAR) playbooks for continuous threat enrichment and rapid mitigation.

MSSP Efficiency: Empowers service providers to extend existing IT security offerings into manufacturing and industrial sectors without introducing complex operational overhead.

“Defenders need every resource they can to combat sophisticated threat actors. This partnership helps security teams easily assess OT and IT vulnerabilities in one place, allowing them to take action much faster,” said Chris Bell, senior vice president of global channel and alliances at Sophos. “Following the launch of Sophos Fusion, this is a testament to our commitment to bring best-of-breed security technologies into a single defense system for superior threat detection, investigation, and response.”

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Also Read: Siemens, Databricks, and FFT Unite to Scale Cloud Integration for Scalable Industrial AI

“The way organizations capture, track, and act on data across their operations is changing rapidly, and RFID is becoming a foundational technology for improving visibility, automation, and operational accuracy. AB&R has built an outstanding reputation helping customers apply RFID and IoT technologies to solve complex business challenges. Their expertise, customer relationships, and proven track record make them a natural fit for DecisionPoint as we continue expanding our capabilities in RFID, software, and services that help organizations modernize their operations.” Reaffirming the growth opportunities for client organizations, Gary Randall, VP of Sales and Marketing of AB&R, added: “Joining DecisionPoint creates an exciting opportunity to expand the value we deliver to customers while building on the trusted relationships and technical expertise AB&R has developed over more than four decades. Together, we will bring customers greater scale, expanded resources, and a broader portfolio of solutions to help improve visibility, accuracy, and performance across their operations.”

Read More: DecisionPoint Technologies Expands RFID and IoT Leadership Through Acquisition of AB&R

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Soracom Agent extends a line of AI services that the company has shipped over the past two years. Soracom Query, the platform’s natural-language IoT analytics service, lets teams ask questions of their connectivity and device data without writing SQL. Soracom Flux, the platform’s low-code IoT application builder, lets teams turn that data into automated workflows that call cloud AI models. The company has also published an MCP server that makes the platform operable by AI tools. Soracom Agent applies those capabilities to the work of designing, building, and operating an IoT deployment.

Also Read: CSL Group Acquires IoTM Solutions to Power Global eSIM Orchestration 

Soracom Agent runs in an isolated, secure container dedicated to each customer. It carries project memory, so its understanding of a given deployment improves as the project progresses. It also operates a wide range of Soracom services through the platform’s API, CLI, and MCP interfaces. Soracom AI Agent is built to be used by non-engineers as well as developers, lowering the expertise required to design and run a connected product. Because the agent works within the customer’s own environment, customers retain control of their data and the knowledge their projects generate.

“Soracom began by making connectivity accessible to IoT builders, and the platform has steadily moved up the stack, into the cloud and then into AI,” said Kenta Yasukawa, CTO and Co-Founder of Soracom. “Soracom Query gave teams a way to ask questions of their IoT data in plain language, and Soracom Flux gave them a way to turn that data into automated workflows. Soracom Agent is the next step. It understands IoT, telecom, and the Soracom platform well enough to work alongside a team through an entire project, from the first requirements to live operations, while the customer keeps control of their data and what they learn from it.”

Source: BusinessWire

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As IoT deployments scale globally, enterprises, service providers and mobile operators are often required to manage SIMs, eSIM profiles and carrier integrations across separate portals, Connectivity Management Platforms (CMPs) and network platforms. This fragmentation adds operational complexity, slows carrier onboarding and makes it harder to adapt to changing regulation, permanent roaming restrictions and in-life service issues.

The acquisition strengthens CSL’s ability to help customers build resilient global IoT estates that can adapt to network outages, changing regulation and transition smoothly to SGP.32 – the GSMA’s next-generation eSIM standard for IoT.

Resilient IoT Operations for Global Connectivity

Founded in 2015, IoTM Solutions has developed a cloud-native platform that brings fragmented carrier systems, CMPs and eSIM workflows into one managed service, providing a single pane of glass view. The platform is vendor agnostic, taking on legacy estates or new deployments regardless of vendor, so customers manage SIM lifecycle, eSIM profile management, usage reporting, support workflows and API access through a unified operating model across multiple operators and platforms. This low-touch, friction-free approach means customers can provision their entire SIM estate seamlessly in hours, not days.

Also Read: Autodesk to Acquire MaintainX, Advancing Unified Platform in Operations

Already managing more than 30 million SIMs, with the ability to onboard over a billion, the platform supports 20+ native CMP, API and carrier platform integrations, with access to more than 100 mobile operators. This gives CSL immediate global scale, deep carrier integration and proven operational capability across its Critical Connectivity^® and rSIM^® services, providing more optionality and value for customers.

Combined with rSIM’s SIM-level resilience and CSL’s managed IoT services, IoTM Solutions expands CSL’s resilient connectivity offering beyond network failover. Customers can manage outages, local carrier requirements, permanent roaming restrictions and changing market conditions through a single platform.

Dan Amir, CEO & Co–Founder of IoTM Solutions, said:

“IoTM was created to remove the complexity of managing IoT connectivity across multiple operators, platforms and countries. Joining CSL Group allows us to bring that capability to a larger global customer base, supported by CSL’s managed connectivity services and rSIM resilience. Together, we can help customers and mobile operators simplify SIM and eSIM operations and prepare for the next generation of global IoT.”

The IoTM team will join CSL, and the platform will continue to support existing customers, operators and service provider partners.

Expanding CSL’s Capabilities

CSL already delivers managed IoT connectivity and patented rSIM resilience for life-critical and business-critical applications. By adding IoTM, CSL extends its role beyond connectivity, giving customers a single resilient operating model for managing SIMs, eSIMs, carriers and platforms throughout the device lifecycle.

Together, CSL and IoTM Solutions enable customers to deploy globally, adapt to local carrier and regulatory requirements, automate SIM lifecycle management and strengthen operational resilience as IoT estates grow. This creates a foundation for large-scale SGP.32 adoption while reducing operational complexity for enterprises, service providers and mobile operators.

Preparing Customers for the Next Generation of eSIM

The transition to SGP.32, the next generation of eSIM architecture for IoT, represents one of the most significant changes in how connected devices are provisioned, managed and supported throughout their lifecycle. As enterprises expand globally and permanent roaming restrictions continue to evolve, organisations need greater automation, orchestration and operational control over their SIM and eSIM estates.

By combining IoTM Solutions‘ connectivity management platform with CSL’s managed IoT services and patented rSIM resilience, CSL is creating the operational foundation for both today’s global IoT deployments and tomorrow’s SGP.32 ecosystem.

Ed Heale, CEO of CSL Group, commented:

“SGP.32 marks the biggest change in IoT connectivity management since the introduction of eSIM. Customers won’t simply need a new standard; they’ll need a new operating model. Bringing IoTM Solutions into CSL Group allows us to deliver that; combining IoT connectivity management, eSIM orchestration and resilient connectivity into a single service that prepares customers for the next generation of global IoT.”

Source: PRNewswire

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Also Read: Protera Deepens SAP Alliance with PartnerEdge Tracks and SAP Store Launch

Underscoring the operational philosophy driving this collaboration, Rainer Brehm, COO Automation and CTO at Siemens Digital Industries, stated, “Industrial AI only delivers value when data, context and execution come together. With Databricks and FFT, we enable our customers to scale industrial AI across factories and plants and make AI-powered production real.” Highlighting the tangible business value generated by this direct IT/OT convergence, Shiv Trisal, Global Industrials GTM Leader at Databricks, noted, “By uniting Siemens’ industrial automation and edge expertise with the Databricks Platform, we help industrial companies close the gap between industrial data and scalable business impact across their industrial network. This partnership is a foundational step in making human-agent collaboration a reality for industrial operations.” Volker Stark, COO at FFT Produktionssysteme, concluded that the platform “provides a simple, powerful gateway to the cloud for more than 30,000 potential customers” by offering an immediately deployable pipeline that bypasses expensive, time-intensive data transformations.

Read More: Siemens partners with Databricks and FFT to turn production data into scalable AI-driven insights

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However, the rapid explosion of artificial intelligence has fundamentally disrupted this hands-off operational model. As businesses heavily integrate generative AI and complex automated features into their daily software tools, AI inference costs the continuous computational power required for an AI model to process data and generate real-time responses have skyrocketed. Enterprise software vendors find themselves trapped between skyrocketing hardware prices and tightening corporate margins.

Recognizing that long-term software sustainability requires physical infrastructure control, global technology giant Zoho Corporation announced the launch of Nathu La, a proprietary server platform designed completely in-house.

Developed over five years by Zoho’s hardware engineering team in Nagpur, India, in collaboration with Intel, the platform marks a bold transition from pure-play software development into custom data center hardware engineering. For the SaaS and Cloud Infrastructure industry, this launch establishes a new precedent for how technology vendors must navigate the resource-heavy AI era.

Also Read: New Relic Extends Enterprise Governance to AI Coding Assistants 

Technical Architecture: Optimizing Hardware for Targeted Software Workloads

Building a generic server is a routine commodity process; building a specialized server framework capable of optimizing vertical corporate software pipelines while dropping overhead is an advanced engineering feat.

The design philosophy behind the Nathu La platform is deeply rooted in the open-source blueprints of the Open Compute Project (OCP), prioritizing modularity, thermal efficiency, and minimal maintenance overhead. Powered by Intel Xeon 6 processors, the custom architecture delivers equivalent performance to traditional global enterprise servers while yielding massive resource advantages: a 12% to 18% reduction in power consumption and a 20% to 30% lower Total Cost of Ownership (TCO).

Rather than buying pre-packaged, rigid server configurations from foreign tech conglomerates, Zoho designed every modular component—including the Data Centre Secure Control Module (DC-SCM) and custom Network Interface Cards (NICs)—in-house to perfectly map to their exact software demands. The architecture has already produced over five unique hardware patents covering advanced thermal management and cost-optimized design layouts.

Crucially, Zoho is not selling the Nathu La platform commercially to outside consumers. Instead, the company is completely “dogfooding” the hardware internally, with plans to scale from a few hundred pilot servers to roughly 2,000 active nodes across its global data centers by the end of the year.

Transforming the SaaS and Cloud Infrastructure Industry

Zoho’s decision to own the physical hardware layer sends clear shockwaves across the broader cloud software ecosystem, signaling a major structural transition.

The Rise of Vertical Hardware-Software Integration
For decades, SaaS vendors operated under the assumption that hardware was a utility they never needed to think about. Zoho’s entry into server design shatters this perspective. In an AI-dominated market, running contextual, right-sized language models on generic third-party servers creates immense financial waste. By tightly coupling custom-designed hardware with an in-house GPU database and application code, Zoho demonstrates that vertical integration is the ultimate defense against margin erosion. Competitors in the SaaS landscape will face mounting pressure to explore custom infrastructure plays or risk being outpriced by vertically integrated operations.

Accelerating the Trend Toward Technological Sovereignty
As global geopolitical tensions influence data residency mandates and supply chain paths, the enterprise software market is facing a push toward “sovereign tech.” Up until now, the server technology underpinning global digital frameworks was heavily monopolized by foreign multi-nationals, requiring local tech firms to pay continuous royalties and licensing fees. By keeping 100% of the underlying intellectual property domestically owned, Zoho provides a distinct blueprint for how regional enterprise ecosystems can break their absolute reliance on external infrastructure vendors, securing their long-term operational resilience.

Broad Operational Impact on Enterprise Businesses

For the millions of businesses relying on cloud-based ecosystems to power their daily workflows, the stabilization of backend infrastructure costs yields vital long-term operational advantages.

Protection Against Runaway AI Software Pricing
As software companies scramble to offset the immense costs of running large language models, end-user businesses are frequently hit with steep subscription price increases and restrictive usage caps. Because Zoho’s Nathu La architecture aggressively brings down the baseline cost of AI inference, the company can pass those structural savings directly down to consumers. Businesses gain access to predictable, highly accessible, and unthrottled AI features without fearing unexpected, volatile software billing changes.

Unlocking Unprecedented Data Governance and Speed
When software applications run on heavily fragmented cloud layers, data must bounce across multiple external vendor networks, introducing latency bottlenecks and expanding the potential security attack surface. Hosting enterprise applications on an in-house, sovereign server environment ensures tight data governance. For businesses handling highly sensitive financial logs, healthcare data, or protected customer records, this infrastructure continuity offers a verifiable audit trail that satisfies rigid global compliance frameworks while maximizing application processing speeds.

Ultimately, Zoho’s leap into hardware proves that the future of cloud software will not be won simply by writing smarter code—it will be captured by the organizations bold enough to build the foundations that power it.

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The partnership brings together Tanium’s real-time endpoint intelligence and in-platform remediation capabilities with Censys’ comprehensive, continuously updated map of global Internet infrastructure, enabling security teams to gain a complete, contextual view of enterprise exposure.

“Security teams can no longer afford to operate with blind spots between what’s happening inside their environment and what’s exposed to the outside world,” said Harman Kaur, chief technology officer at Tanium. “By combining Tanium’s real-time endpoint data with Censys’ external internet intelligence, we’re giving organizations the ability to understand, contextualize and act on risk with speed, scale and precision.”

Together, the two platforms each purpose-built for data quality and real-time intelligence break down silos and enable organizations to detect, prioritize and remediate risk from external discovery to autonomous remediation. Connecting those two views helps organizations move from insight to action faster, with greater confidence in what they’re seeing and why it matters.

Also Read: Autodesk to Acquire MaintainX, Advancing Unified Platform in Operations

“As AI accelerates the discovery and exploitation of vulnerabilities, managing Internet exposure has become critical to every enterprise security program,” said Zakir Durumeric, founder and chief executive officer at Censys. “By combining Censys’ real-time Internet intelligence with Tanium’s Autonomous IT Platform, organizations can bring real-time Internet visibility into their existing security workflows enabling faster, risk-prioritized remediation of externally exposed assets.”

The partnership reflects a broader industry shift toward continuous exposure management, where organizations must monitor and act on risk in real time as environments and threats rapidly evolve.

• Tanium enables organizations to continuously scan, prioritize and remediate vulnerabilities and compliance gaps across endpoints in real time.
• Censys delivers unmatched accuracy and scale into global internet infrastructure to uncover exposures and attacker-controlled assets.

The combined solution empowers organizations to move beyond periodic assessment toward a complete, continuous and intelligence-driven model of exposure management.

“Organizations need external attack surface visibility as part of holistic exposure management. Together, Tanium and Censys can offer security teams a correlated view of internal and external risk, with a workflow that moves from external discovery to remediation without the manual handoffs that slow response,” said Michelle Abraham, senior research director, Security and Trust at IDC.

Source: BusinessWire

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