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IoT Cyber
Industrial automation's mid-2026 inflection: safety standards, physical AI, and intralogistics ...
Industrial automation's mid-2026 inflection: safety standards, physical AI, and intralogistics consolidation Industrial automation is experiencing significant changes by mid-2026, focusing on safety standards, physical AI integration, and the consolidation of intralogistics. The sector is seeing advancements such as ISO 27001 certifications and safety-rated ultrasonic sensors, which have implications for compliance and procurement. These changes aim to improve operational efficiency and safety in industrial environments. This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO). Key facts, context, and what it means, in one minute. Key takeaways Industrial automation is evolving with safety standard enhancements. Physical AI and intralogistics consolidation are key trends. Compliance and procurement are influenced by new technologies like safety-rated sensors. Three distinct forces are reshaping the industrial automation buying environment in mid-2026: a wave of safety and cybersecurity certifications that are beginning to separate vendor tiers, accelerating physical AI deployments in intralogistics, and platform consolidation through acquisition. Each carries a concrete implication for operations and procurement teams deciding what to buy, and from whom, over the next 12 to 18 months. Certification pressure is intensifying on both cybersecurity and functional safety Yaskawa announced this month that it has secured ISO/IEC 27001:2022 certification, the internationally recognized standard for information security management systems. For an industrial robotics supplier, that credential matters beyond IT compliance: connected robots are operational technology assets, and a certified ISMS signals that Yaskawa's internal controls over networked systems have been independently audited, according to Robotics 24/7. On the functional safety side, Sonair announced in early July that its ADAR One 3D ultrasonic sensor achieved SIL 2 and PL d safety ratings, which the company describes as a first for a safety-certified 3D ultrasonic sensor designed for human-robot collaboration, per Robotics 24/7. SIL 2 and PL d
IDC On the Ground: Inside GITEX AI Europe 2026's Race to Build Sovereign AI Infrastructure
Now in its second year, GITEX AI Europe returned to Messe Berlin on 30 June–1 July 2026 as one of Europe’s largest tech, AI, and startup events. Sector coverage spanned AI & Robotics, Cloud Computing, Data & IoT, Cybersecurity, Digital Cities, Finance & Digital Assets, Industry 4.0 & Autotech, Intelligent Connectivity & Telecom, and Green Tech. The scale of Europe’s AI ambition is substantial, and GITEX AI Europe’s agenda reflected it directly: the European Commission’s InvestAI initiative aims to mobilize €200 billion in AI investment through 2030, building on 19 AI factories already operational across the bloc and up to five AI gigafactories planned, with data center capacity set to triple within five to seven years. HPE showcases sovereign AI factories and agentic IT operations at GITEX AI Europe As a Gold Sponsor at GITEX AI Europe in Berlin, Hewlett Packard Enterprise (HPE) cast itself as a key enabler of enterprise AI adoption, highlighting its vision for AI factories built on secure, scalable infrastructure and accelerated computing. HPE holds a Leader position in the 2025 IDC MarketScape for Worldwide Private AI Infrastructure Systems. HPE’s presence built on its broader collaboration with NVIDIA, detailing developments in HPE Private Cloud AI, a co-engineered platform designed to simplify the deployment of generative and agentic AI while supporting sovereign AI requirements and large-scale GPU-based environments. HPE also pointed to AI-ready networking and security through its integrated HPE Aruba Networking and HPE Juniper Networking portfolio, reflecting growing enterprise demand for high-performance, zero-trust AI infrastructure. In addition, HPE promoted the integration of HPE GreenLake with HPE Morpheus Software to automate and orchestrate hybrid cloud environments, reinforcing its strategy of delivering unified, agentic IT operations intended to help organizations manage AI workloads while addressing governance, compliance, and data sovereignty requirements across Europe. Korea Blockchain Pavilion South Korea’s
SuperCom Announces Pricing of $7.5 Million Registered Direct Offering
TEL AVIV, Israel, July 13, 2026 /PRNewswire/ -- SuperCom (NASDAQ: SPCB), a global provider of secured solutions for the e-Government, IoT, and Cybersecurity sectors, announced today that it has entered into a securities purchase agreement with certain institutional investors to purchase 732,683 ordinary shares in a registered direct offering at a purchase price of $10.25 per ordinary share. The gross proceeds to SuperCom from the offering are expected to be approximately $7.5 million before deducting placement agent fees and other estimated offering expenses. The offering is expected to close on or about July 14, 2026, subject to the satisfaction of customary closing conditions. SuperCom intends to use the net proceeds from the offering for working capital and general corporate purposes, including to support the implementation and expansion of new and existing government projects, such as those recently launched by SuperCom in Europe and the U.S., which have combined published budgets of over $80 million. Maxim Group LLC is acting as the sole placement agent in connection with the offering. The ordinary shares are being offered pursuant to SuperCom's shelf registration statement on Form F-3 (File No. 333-284219), which was declared effective by the U.S. Securities and Exchange Commission (the "SEC") on January 21, 2025. The offering will be made only by means of a prospectus supplement that forms a part of such registration statement. This press release does not constitute an offer to sell or the solicitation of an offer to buy, nor will there be any sales of these securities in any jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of such jurisdiction. A prospectus supplement relating to the offering will be filed by SuperCom with the SEC. When available, copies of the prospectus supplement, together with
India mulls security certification for <b>IoT</b> devices
While no final decision has been taken, discussions at the official level are underway on measures that could require connected devices to meet stricter security and certification standards before they can be sold in India. The move, persons in the know told TOI, is aimed at reducing cyber vulnerabilities in internet-connected products and should not be seen as a proposal to ban any category of devices. The deliberations follow government's decision to mandate security certification for internet-enabled CCTV cameras under the Standardisation Testing and Quality Certification (STQC) framework. Since April 1, manufacturers whose products do not comply with the prescribed essential security requirements have been barred from selling connected CCTV cameras in India. Officials said the same concerns increasingly apply across the wider IoT ecosystem, which spans smart meters, home automation products, connected appliances, industrial sensors, wearable devices, healthcare equipment and other internet-enabled products. As these devices grow across homes, factories, offices and critical infrastructure, they also create much larger attack points for hackers if security standards are weak or inconsistent. People familiar with the discussions said governemnt is examining whether a common baseline security framework can ensure that connected devices entering the Indian market meet minimum cybersecurity requirements before deployment. The emphasis is expected to be on product testing, vulnerability assessment, software integrity and greater visibility into supply chains. The focus is on ensuring that connected products meet India's cybersecurity requirements irrespective of where they are made. (With inputs from TOI)
AI and blockchain converge to secure the Internet of Things as cyber threats escalate
The explosive growth of connected devices has redefined industries and everyday life, but it has also created unprecedented cybersecurity risks. As the Internet of Things (IoT) ecosystem expands, the challenge of safeguarding billions of devices against sophisticated cyberattacks grows only steeper. Traditional security frameworks are struggling to keep pace, prompting a shift toward advanced solutions that leverage deep learning and decentralized architectures.IoT’s security dilemma: scale, complexity, and evolving threatsFrom smart homes and wearables to industrial automation and urban infrastructure, IoT networks are integral to modern operations. However, their distributed nature and enormous data flows expose them to a broad spectrum of risks. Centralized security platforms and rule-based intrusion detection systems, once considered adequate, now face limitations. These legacy approaches often produce high false-positive rates and are ill-equipped to detect emerging attack vectors or adapt to the rapidly evolving threat landscape, according to researchers Sathyabama A R and Jeevaa Katiravan, whose recent paper was published in Scientific Reports by Nature Publishing Group.The case for intelligent, self-adapting cyber defenseAnomaly detection is a cornerstone of IoT security, aiming to identify unusual network behavior that could signify attacks such as data breaches, malware infections, Distributed Denial of Service (DDoS) assaults, and insider threats. While traditional intrusion detection systems rely on static rules and signatures, they fail to scale with IoT’s high data velocity and diversity. Deep neural networks (DNNs), a form of artificial intelligence, have emerged as a transformational tool by learning intricate patterns in network traffic and continuously adapting to new threats. These models leverage multi-layered feature extraction and adaptive learning to distinguish between normal and suspicious activity with minimal human intervention.In their study, Sathyabama and Katiravan trained DNNs on benchmark IoT traffic datasets, enabling the algorithms to effectively classify behaviors and detect even novel attack patterns, a capacity crucial for addressing zero-day
Keysight Delivers New High-Performance 4x100GE Network <b>Cybersecurity</b> Test Platform
Keysight Technologies, Inc. (NYSE: KEYS) today announced the APS-ONE-400, a modular network cybersecurity test platform. This new 4x100GE platform significantly boosts performance for Layer 4-7 traffic, encrypted traffic, and Elephant Flow traffic all within a 1 rack unit (RU) system. It enables network equipment manufacturers (NEMs), service providers, and data center operators to validate demanding scenarios while lowering overall infrastructure requirements. The growing complexity and volume of network loads — including legitimate and malicious traffic, post-quantum cryptography (PQC)-encrypted traffic, Zero Trust Network Access (ZTNA), and the Elephant Flow transmissions common in AI and large language model (LLM) workloads — require network equipment manufacturers (NEMs), service providers, and data center operators to validate that their solutions can withstand these demands prior to deployment. However, this often requires multiple specialized test tools that can drive up costs and consume limited lab resources. To address this challenge, Keysight developed the APS-ONE-400 appliance, an addition to its APS-100/400GE hardware family. The new modular, scalable 4x100GE network application and cybersecurity test platform generates hyperscale Layer 4-7 traffic, PQC-encrypted Transport Layer Security (TLS) throughput, security strikes, and ZTNA test capabilities — all within a compact 1RU footprint that improves lab efficiency. The APS-ONE-400 4x100GE test platform offers the following benefits: - Increased performance and efficiency: Delivers 400 gigabits per second (Gbps) Layer 4-7 throughput, 380 Gbps of hardware-accelerated encrypted TLS throughput, 95 Gbps Elephant Flow throughput, and the latest security strikes in a compact 1RU platform that minimizes rack space, cooling, and power consumption. - Compatibility and flexibility: Deploy as a stand-alone appliance or seamlessly integrate with existing deployments of Keysight’s APS-100/400GE series, including APS-M8400, APS-M1010, and APS-ONE-100. With APS-ONE-400’s fanout support for 100/25/10GE, the platform accommodates a range of critical network speeds. - Hyperscale performance: When paired with the APS-M8400 appliance or APS-M1010 management controller,
Why U.S. manufacturers aren't using AI at scale in 2026
Four in five U.S. manufacturing facilities have zero automation — here's what's actually blocking AI adoption The majority of U.S. manufacturing facilities operate without any automation, but there is a strong interest in expanding AI capabilities. The main challenges hindering AI adoption are not financial constraints but rather issues related to data hygiene and cybersecurity. This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO). Key facts, context, and what it means, in one minute. Key takeaways Most U.S. manufacturing facilities lack automation. Executives are interested in expanding AI capabilities. Data hygiene and cybersecurity are major barriers to AI adoption. Four out of five U.S. manufacturing facilities operate with zero automation, according to Manufacturing Dive, and that figure sits at the center of one of the widest gaps in American industrial technology. Most executives say they intend to expand AI within two years. Most plants have not started. The contrast is not primarily a funding story. Across the sector, the manufacturers that are actually deploying AI at scale share a common trait: they resolved something unglamorous before they bought a single platform. They fixed their data. The real barrier isn't budget NIST's Manufacturing Innovation Blog has documented a persistent readiness gap in U.S. plants: operational data is often siloed by machine vintage, collected inconsistently across shifts, and stored in formats that AI systems cannot readily ingest. IBM's industrial AI research reaches a similar conclusion, that data quality and infrastructure integration, not capital expenditure, are the most commonly cited obstacles once pilot projects stall. That dynamic plays out predictably. A plant invests in a predictive maintenance or quality-inspection AI tool, runs it against fragmented sensor data, and gets results that are not reliable enough to act on. The project gets shelved. The
Hitachi Energy expands digitalization portfolio to manage AI-driven grid complexity
Hitachi Energy expands digitalization portfolio to manage AI-driven grid complexity Hitachi Energy has expanded its digitalization portfolio to help utilities and asset-heavy industries tackle the increasing complexity of grids due to AI-driven load growth. The updated suite is aimed at enhancing management capabilities within the energy sector. This development responds to the challenges presented by the evolving demands of energy grids. This story was produced through MarketScale. See how Energy teams put it to work with Customer Stories & Case Studies. Key facts, context, and what it means, in one minute. Key takeaways Hitachi Energy focuses on aiding utilities with increased grid complexity. The digitalization suite targets industries affected by AI load growth. Aims to enhance grid management within the energy sector. AI data center load growth is now compounding the grid complexity that utilities were already struggling to manage from the energy transition alone. That is the framing Hitachi Energy is using to position its expanded digitalization portfolio, which spans everything from digital transformers and substations to industrial IoT platforms and cybersecurity, as essential infrastructure for power system operators in 2026. The company describes the emerging grid as a 'system of systems': distributed energy resources, microgrids, battery storage, electric vehicle charging networks, and prosumers all interacting in real time. Managing that environment without digital tooling, in Hitachi Energy's view, is no longer viable. Five capability layers, one operational argument Hitachi Energy organizes its digitalization offerings into five categories: connected products, digitally enabled services, software, digital systems, and digital transformation programs. Specific products include the TXpert Ecosystem for digital transformers, digital control and monitoring for switchgear and breakers, the Energy Connect industrial IoT platform, digital substations, and IdentiQ for HVDC, which uses digital twin technology to provide real-time operational visibility into high-voltage direct-current infrastructure. On the software side, the company
Converging AV, Security, <b>IoT</b>: Who Owns Tech Strategy? #shorts
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Agency Representative Participates in Panel Discussion
- Home - Cyber Security Agency of Montenegro - Agency Representative Participates in Panel Discus... Agency Representative Participates in Panel Discussion The Head of the Incident Response Team (National CIRT) at the Cybersecurity Agency, Danilo Potpara, participated as a panelist in the discussion titled “MEST ETSI EN 303 645 Standard - Cybersecurity of IoT Devices and the Importance of Standardization for the Digital Ecosystem of Montenegro.” During the discussion, it was emphasized that the application of this standard represents an important step towards improving the cybersecurity of digital products and services, strengthening trust among citizens and the business sector, as well as aligning with European practices and regulatory requirements. Speaking from the perspective of the Cybersecurity Agency, he highlighted that everything connected to a network, collecting data, or capable of affecting the continuity of essential services must be identified, protected, maintained, and monitored. He particularly highlighted the importance of standardization as a practical tool that contributes to a clearer definition of the responsibilities of manufacturers, suppliers, entities, and competent institutions in protecting the digital space. Participants concluded that Montenegro has an opportunity to be among the first in the region to implement modern cybersecurity standards and to develop a reliable and competitive digital ecosystem. The panel discussion was organized by the Institute for Standardization of Montenegro (ISME), in cooperation with the Science and Technology Park of Montenegro, within the InDiCo Global project funded by the European Commission under the Horizon Europe programme.
How to Choose CRA-Compliant eSIM and Secure Remote Management for Cellular <b>IoT</b> Products
How to Choose CRA-Compliant eSIM and Secure Remote Management for Cellular IoT Products KigenKigen Cybercrime is no longer a background risk for connected products. It is an economic force. Cybersecurity Ventures has estimated that cybercrime would cost the world $5.5 trillion annually by 2025, a figure larger than the GDP of most major economies. That is the context behind the EU Cyber Resilience Act. CRA compliance is not only a European regulatory project. It is a signal to the global market that connected products must be designed, maintained, updated, and evidenced as secure throughout their lifecycle. For embedded developers and hardware manufacturers, the practical question is simple: how do you build a cellular product that can be trusted in the field, updated remotely, and supported with evidence when a vulnerability appears? At Hardware Pioneers Max 2026, manufacturers, connectivity providers, compliance specialists, and IoT developers discussed a common challenge: building products that can meet CRA requirements from launch through long-term operation. The consensus was clear: CRA compliance must be designed from the start. For cellular IoT products, one of the strongest starting points is eSIM. CRA applies to products with digital elements made available on the EU market. It changes the baseline for manufacturers, importers, and distributors by making cybersecurity part of product conformity. That means secure design, vulnerability handling, technical documentation, update support, incident reporting, and supplier evidence all become part of the product lifecycle. The dates matter. Reporting obligations for actively exploited vulnerabilities and severe incidents begin in September 2026. The main obligations apply from December 2027. Cellular products often take years to move from architecture to prototype, pilot, certification, production, deployment, and support. A device designed today may still be shipping, connecting, and receiving updates well after CRA obligations are fully in force. The lesson is clear: if
A dataset-centric review of <b>IoT</b> and IIoT intrusion detection: realism, evaluation biases, and ...
Abstract The rapid growth of IoT and IIoT expands the cyber-attack surface of interconnected and safety-critical systems, and, as such, IDSs have become a fundamental security mechanism. Although very impressive results have been reported for machine learning and deep learning-based IDS in benchmark datasets, these gains often do not generalize to real-world deployments owing to dataset design limitations, realism deficits, and evaluation biases, rather than inherent flaws in detection algorithms, which can lead to significant vulnerabilities in actual operational environments. This study presents a dataset-centric review of widely used intrusion detection datasets from the IIoT, IoT, and traditional network domains. A unified taxonomy differentiates datasets based on the domain context, traffic representation, protocol semantics, and attack modeling assumptions. Based on a common analytical framework, each dataset was reviewed regarding its realism, coverage of the threats, class imbalance, temporal continuity, and modern ML/DL-based evaluation of the IDS. The cross-dataset analysis conducted in this study shows that, in addition to the fact that model architecture and feature engineering play a major role, several studies indicate that the simplicity of the datasets, the class imbalance, and the repetitive attack patterns as well as the evaluation methods can affect accuracy of the IDS. This work further underlines the remaining gaps, such as zero-day and adaptive attacks, limited encrypted traffic, weak temporal evolution, poor support for federated learning, and sparse annotations for explainable IDSs. Finally, this study presents future directions for dataset design aligned with the requirements of next-generation IDSs by highlighting digital twin-based IIoT environments, edge-cloud collaborative data generation, sequential traffic modeling, and explainability-oriented annotations that can ensure robust, trustworthy, and deployment-ready IDS solutions. 1 Introduction 1.1 Evolution of IoT, IIoT, and cyber-physical systems The IoT has revolutionized modern computing by allowing the interconnection of heterogeneous devices, including sensors, actuators, smart appliances, and embedded
The Vietnam War Had the First <b>IoT</b> Network (And It Got Hacked)
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<b>Cybersecurity</b> Strategies for Managing End-of-Life Industrial <b>IoT</b> Devices
End-of-life (EOL) industrial IoT devices create a growing cybersecurity challenge for operational technology (OT) environments. While these devices often remain functional, they pose significant and frequently overlooked security risks. When vendors no longer provide updates or support, critical infrastructure becomes vulnerable to emerging threats. Organizations need practical strategies to manage these risks without disrupting operations or compromising safety. Why EOL equipment creates vulnerabilities Using hardware and software without vendor support introduces vulnerabilities that attackers can actively exploit. Unlike traditional IT systems, OT security must account for unique performance, reliability and safety requirements that end-of-life devices cannot guarantee. These systems control physical processes where failures can lead to production shutdowns, equipment damage or worker injuries. The threat goes beyond theoretical concerns. The 2016 Mirai botnet attack weaponized IoT devices to disrupt major internet services and popular websites, demonstrating how attackers could turn consumer devices against critical infrastructure. Federal lawmakers responded by creating the IoT Cybersecurity Improvement Act of 2020, which establishes strict security standards for federal IoT deployments. The legislation acknowledges that unsecured devices pose serious risks to military operations, healthcare systems and other essential services. Strategies for securing end-of-life IoT devices Organizations often cannot immediately replace every end-of-life device in their environment. Budget constraints, operational requirements and supply chain limitations force extended use of outdated equipment. The recognized set of best practices from the CIS Controls provides a defense-in-depth framework for securing industrial control systems when standard patching isn’t feasible. For strengthened security on EOL devices, teams can do the following. 1. Conduct a full asset inventory Organizations cannot protect assets they don't know exist. A comprehensive inventory documents every OT device and IIoT sensor on the network, including make, model, firmware version and network location. This baseline enables security teams to identify which devices have reached end-of-life status and
<b>IoT</b> Microcontroller Market Poised for Sustained Expansion with 14.2% CAGR Until 2035
IoT Microcontroller Market Poised for Sustained Expansion with 14.2% CAGR Until 2035 The Global IoT microcontroller market reached an estimated USD 6.58 billion in 2025 and is projected to grow from USD 7.51 billion in 2026 to USD 24.83 billion by 2035, registering a CAGR of 14.2% during the forecast period. Two major catalysts are accelerating this trajectory: the explosive proliferation of connected devices across industrial automation, smart home, and healthcare wearable segments, which added over 3.2 billion new IoT endpoints globally in 2024 alone, and the accelerating shift toward ultra-low-power edge computing architectures that process sensor data locally without cloud round-trips. With over USD 1.7 trillion in cumulative IoT infrastructure investment anticipated through 2035, device OEMs, system integrators, and platform vendors face mounting pressure to adopt purpose-built MCU solutions or risk falling behind on performance-per-watt benchmarks.Legacy 8-bit and 16-bit microcontrollers many designed before wireless connectivity became a baseline requirement are rapidly giving way to 32-bit Arm Cortex-M and RISC-V architectures that integrate multi-protocol wireless subsystems, hardware security enclaves, and AI inference accelerators on a single die. A recent IDC embedded systems survey estimated that top-quartile IoT device manufacturers deploying purpose-built wireless MCUs alongside over-the-air (OTA) firmware management platforms reduced time-to-market by 22-26% compared to peers assembling discrete component stacks. This technology shift is not incremental it represents a structural re-platforming of how the entire IoT industry develops, deploys, and manages connected endpoints at scale. Get Full PDF Sample Copy of Report: (Including Full TOC, List of Tables & Figures, Chart) @ https://www.marketresearchfuture.com/sample_request/5888 ➤ How Significant Is the IoT Microcontroller Market's Growth? The IoT microcontroller market has demonstrated consistent and robust expansion, rising from approximately USD 5.47 billion in 2021 to an estimated USD 6.58 billion in 2025, representing a strong historical growth trajectory. The market is expected to nearly
<b>Cybersecurity</b> Stocks To Research
Palo Alto Networks, CrowdStrike, Fortinet, BlackBerry, SentinelOne, Globant, and Rapid7 are the seven Cybersecurity stocks to watch today, according to MarketBeat's stock screener tool. Cybersecurity stocks are shares of companies that develop or provide products and services designed to protect computers, networks, data, and digital systems from cyber threats. For stock market investors, the term usually refers to publicly traded firms in areas such as antivirus software, cloud security, identity protection, and threat detection, which may benefit from growing demand for digital security. These companies had the highest dollar trading volume of any Cybersecurity stocks within the last several days. Palo Alto Networks (PANW) Palo Alto Networks, Inc. provides cybersecurity solutions worldwide. The company offers firewall appliances and software; and Panorama, a security management solution for the global control of network security platform as a virtual or a physical appliance. It also provides subscription services covering the areas of threat prevention, malware and persistent threat, URL filtering, laptop and mobile device protection, DNS security, Internet of Things security, SaaS security API, and SaaS security inline, as well as threat intelligence, and data loss prevention. Read Our Latest Research Report on PANW CrowdStrike (CRWD) CrowdStrike Holdings, Inc. provides cybersecurity solutions in the United States and internationally. Its unified platform offers cloud-delivered protection of endpoints, cloud workloads, identity, and data. The company offers corporate endpoint and cloud workload security, managed security, security and vulnerability management, IT operations management, identity protection, SIEM and log management, threat intelligence, data protection, security orchestration, automation and response and AI powered workflow automation, and securing generative AI workload services. Read Our Latest Research Report on CRWD Fortinet (FTNT) Fortinet, Inc. provides cybersecurity and convergence of networking and security solutions worldwide. It offers secure networking solutions focus on the convergence of networking and security; network firewall solutions that
Telefónica drafts in Thales for <b>IoT</b> eSIM push
It has partnered with French aerospace giant Thales to launch an eSIM offering based on the GSMA SGP.32 standard, which enables customers to download and activate SIM profiles from available mobile networks on their IoT devices. The solution is integrated into Kite, Telefónica's managed IoT connectivity platform, which provides customers with the means of selecting their preferred network, managing subscriptions, and keeping tabs on their global IoT connectivity. The launch of SGP.32 and the subsequent rise of remote eSIM provisioning has led some telcos to tweak their approach to the global IoT market. Research firm Transforma Insights this time last year heralded the emergence of so-called eSIM orchestrators that manage the complexities of global IoT connectivity on behalf of their clients. Responsibilities are not limited to billing, customer support and eSIM profile management. They also include understanding the diversity of different cellular networks in different markets and their varying capabilities, and ensuring regulatory compliance in different countries when it comes to matters like eSIM localisation and data sovereignty. It represents an opportunity for telcos to capitalise on the eSIM market even if their networks aren't being used for last-mile connectivity. "At Telefónica, in line with our purpose of becoming the best gateway to digital technologies, we continue to evolve our connectivity portfolio with the most innovative services on the market," said Juan José González Menaya, head of IoT connectivity at Telefónica Tech. "With this new eSIM solution, we are strengthening our commitment to offering advanced, global and flexible connectivity that can adapt to the challenges of an increasingly demanding IoT market. Customers will be able to manage their operations with complete autonomy, without the need for specialist resources, and with the assurance that all orchestration capabilities are fully integrated into our systems." Other telcos besides Telefónica have cottoned onto this
Telefónica and Thales simplify <b>IoT</b> connectivity in global environments
Telefónica, through its business unit Telefónica Tech, is launching, in collaboration with Thales, a global leader in cybersecurity and digital identity, an eSIM solution based on the GSMA SGP.32 standard that allows organisations to use a single card with profiles from multiple operators. Thales’ new eSIM solution integrates natively with Kite, Telefónica’s managed IoT connectivity platform, enabling customers to centrally select the active operator in a given geographic area, manage subscriptions in a unified way, and gain a complete view of their global connectivity. Kite can integrate operators from both the Telefónica Group and third parties, consolidating information into a single environment and supporting large-scale operations. Telefónica is therefore strengthening its position not only as a connectivity provider but also as an orchestrator, since the solution allows operator profiles to be downloaded quickly and without prior integrations between the different operators involved, thanks to Thales’ technology and expertise in the remote management of these profiles. This new eSIM capability makes it easier for companies to switch connectivity providers or deploy devices across multiple geographies according to their needs, bringing significant flexibility to international projects by reducing operational times and removing technical barriers. In fact, thanks to the orchestration capabilities provided by Telefónica, customers do not need additional technical resources. Juan José González Menaya, Head of IoT Connectivity at Telefónica Tech, said: “At Telefónica, in line with our purpose of becoming the best gateway to digital technologies, we continue to evolve our connectivity portfolio with the most innovative services on the market. With this new eSIM solution, we are strengthening our commitment to offering advanced, global and flexible connectivity that can adapt to the challenges of an increasingly demanding IoT market. Customers will be able to manage their operations with complete autonomy, without the need for specialist resources, and with the
BlackBerry focuses on <b>cybersecurity</b> and <b>IoT</b> strategy as the business model shifts
BlackBerry focuses on cybersecurity and IoT strategy as the business model shifts Veröffentlicht: 08.07.2026 um 21:06 Uhr, Redaktion AD HOC NEWS, Redaktionelle Verantwortung: Rafael Müller (Chefredaktion)BlackBerry (ISIN CA09228F1099) has evolved from its origins as a mobile handset maker into a software-focused company with an emphasis on cybersecurity and Internet of Things platforms. The business now centers on secure communications, endpoint protection, and connected vehicle solutions, reflecting a deliberate move toward recurring software and services revenue. From devices to software-first operations Over recent years, BlackBerry has shifted away from manufacturing smartphones and other physical devices to concentrate on software and security solutions. This transformation has involved retiring legacy hardware lines and investing in platforms that secure enterprise endpoints, mobile communications, and machine-to-machine connections. The company’s strategy aims to leverage its reputation for secure messaging and apply that expertise to modern enterprise and automotive environments. The software-first approach places emphasis on subscription-based offerings and long-term customer relationships. Enterprise clients typically integrate cybersecurity tools into broader IT architectures, making reliability and integration key priorities. BlackBerry’s focus on secure operating environments and threat detection supports organizations seeking to protect sensitive data and mission-critical systems. Cybersecurity and IoT as core focus Cybersecurity has become the central pillar of BlackBerry’s repositioning. The company offers solutions designed to protect endpoints, manage identities, and secure communications across corporate networks. These tools are tailored for regulated industries, government agencies, and large enterprises that require robust security frameworks and documented compliance. Alongside cybersecurity, BlackBerry’s IoT portfolio targets connected vehicles and industrial applications. The company provides software platforms that help automotive manufacturers and suppliers manage in-vehicle systems, connectivity, and security. By focusing on embedded software and cloud-based tools, BlackBerry positions itself within the growing ecosystem of connected and autonomous vehicles, where secure communications and reliable software are increasingly critical. Learn more