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ALSO boosts H1 2026 profit 61% on cloud and AI-driven growth

Claim 55% Off TipRanks - Unlock powerful investing tools with TipRanks Premium to make smarter, more confident investment decisions - Subscribe to TipRanks Smart Investor Newsletter, and discover new investing opportunities with data-backed stock picks ALSO Holding AG ( (CH:ALSN) ) has shared an announcement. ALSO Holding AG reported strong interim results for the first half of 2026, with group profit jumping 61% to â¬69 million and EBITDA up 29% to â¬162 million. Revenue climbed 21% to â¬8.3 billion, driven by rising computing needs, expanding data volumes and greater use of AI, which supported market share gains in both commercial and consumer segments. The companyâs cloud business was a standout, with revenue rising 31% to â¬1.1 billion, supported by a 9% increase in unique users to 6 million and higher monetisation per user. Operational excellence initiatives, logistics optimisation and organisational efficiency lifted margins across all three business models, pushing the EBITDA margin to 2.0% and ROCE to 13.0%. ALSO continued to integrate acquisitions in the UK, Ireland, France and Italy according to plan, unlocking additional value and evaluating further deals, while maintaining high delivery capability and optimising net working capital to support returns. Management confirmed full-year 2026 guidance and highlighted the companyâs ecosystem and platforms in cloud, AI, IoT, cybersecurity and virtualisation as a strong base for profitable growth and value creation for partners and shareholders. The most recent analyst rating on (CH:ALSN) stock is a Hold with a CHF170.00 price target. To see the full list of analyst forecasts on ALSO Holding AG stock, see the CH:ALSN Stock Forecast page. More about ALSO Holding AG ALSO Holding AG is a leading European technology provider for the ICT industry, active in 31 countries and additional markets through PaaS partners. Its ecosystem serves more than 140,000 resellers with hardware, software and

This Undervalued TSX Stock is Down 46% and Worth Holding for the Long Term

By Karen Thomas, MSc, CFA at The Motley Fool Canada As a TSX stock that once soared above $250, Blackberry Ltd. (TSX:BB) has been through it all. The rise, the fall, and the in-between stagnant period of going nowhere. But through it all, there’s one thing that Blackberry has always maintained – technological excellence. Today, Blackberry is a TSX stock that’s gaining traction and momentum in both its business and its stock price. Here’s why this undervalued TSX stock is a great long-term buy. Blackberry: What happened to this TSX stock? First, a brief look at Blackberry’s history. Blackberry was once the undeniable leader in handheld phones. As you know, this is no longer the case, as Smartphones such as the iPhone and Android began to dominate the market in the early 2010’s. By 2016, the “Blackberry” phone was pretty much history. At that time, the company had to do something drastic to survive. It was a touch and go situation until finally, Blackberry opted to change course and embark on a transformation. Its areas of choice were the Internet of Thing (IoT) and cybersecurity industries. Both drew on Blackberry’s expertise and as this undervalued TSX stock strengthened its presence and focus on these areas, this expertise grew. The company’s reputation now proceeds it. As one would expect in such a situation, Blackberry’s stock price fell hard. In fact, it traded below $10 and stayed in this range for many years. The stock is currently trading at approximately $12.40. This is 46% lower than 2022 levels and way below its historic highs. Blackberry and the connected car For years, this undervalued TSX stock has been quietly working to establish itself as the leader in software technology for critical systems in cars, medicine, robotics, and other industrial uses. Recently, its QNX

Nigerian researchers win Best Paper Award at international computing conference in India

*Team’s breakthrough work on securing Internet of Things networks earns top honours at ACSCON-2026 in Bengaluru A team of six Nigerian researchers has been honoured with the Best Paper Award at the International Conference on Advances in Computing Systems, Communication and Networking (ACSCON-2026), held on 29th and 30th May 2026 at Dr. ACS College of Engineering, Bengaluru, India. The award-winning paper, titled “Federated Learning with Differential Privacy for Adversarial Robustness in IoT Cybersecurity: Defending Against Data Poisoning Attacks,” was authored by Babatunde Alexander Abiola, John Olalere Ogunlola, Opeyemi Victor Omolade, Blessing Alice Alao-Olatunji, Adedeji Edward Adesola, and Simon Olufikayo Awodele. Five of the authors; Abiola, Ogunlola, Omolade, Alao-Olatunji and Adesola are researchers at the Research and Doctoral College of the University of Greater Manchester, Bolton, United Kingdom, while Awodele is of the Department of Computer Science, Babcock University, Ilishan-Remo, Ogun State, Nigeria. The collaboration underscores the growing contribution of Nigerian scholars, both at home and in the diaspora, to cutting-edge research in artificial intelligence and cybersecurity. Tackling a Global Security Challenge The research addresses one of the most pressing challenges in modern cybersecurity: how to protect the billions of Internet of Things (IoT) devices from smart home appliances to hospital sensors and industrial equipment from cyberattacks, without compromising the privacy of the data those devices generate. The team’s solution combines two powerful techniques. Federated learning allows many devices to jointly train an artificial intelligence security model without ever sharing their raw data, while differential privacy adds mathematical guarantees that no individual’s information can be extracted from the shared model. The researchers then went a step further, stress-testing their system against sophisticated “data poisoning” attacks a technique in which hackers secretly corrupt the training process to sabotage the security model from within. Their results were striking. Using real-world IoT data, the

SuperCom Wins New Electronic Monitoring Contract in Kansas, Expanding U.S. Presence ...

Direct County Win and Incumbent Displacement Highlight Strength of SuperCom's Technology, Customer Support, and Services NEW YORK, July 20, 2026 /PRNewswire/ -- SuperCom (NASDAQ: SPCB), a global provider of secure solutions for the e-Government, IoT, and Cybersecurity sectors, today announced that it has won a new electronic monitoring (EM) contract in the state of Kansas. This new county-level contract introduces SuperCom's PureOne technology to Kansas, fully displacing the program's incumbent intermediary service provider. The contract marks SuperCom's expansion into its 19th new state since mid-2024 with more than 40 new U.S. contracts secured over the same period. The contract was awarded to SuperCom following a multi-week live-unit demonstration where the customer cited SuperCom's demonstrated technology and services as a reason to change providers. This county program transitioned from a service provider model directly to SuperCom, predominantly a technology provider, underscoring how SuperCom's customer support and ancillary services can sustain the comprehensive electronic monitoring needs of county agencies. The contract follows a recurring revenue model based on daily active units, further expanding SuperCom's recurring revenue customer base. Training and deployment for this project is expected to begin by the end of July 2026. "This new win in Kansas is noteworthy because the agency selected SuperCom not only for our PureOne technology but also for our direct customer support and ancillary services," commented Ordan Trabelsi, President and CEO of SuperCom. "The new contract reflects the value we deliver through the combination of advanced technology, strong customer support, and deep industry expertise. Whether agencies work with us directly or through our service-provider partners, this integrated approach is increasingly central to why SuperCom is selected." "Kansas is our 19th new U.S. state since mid-2024, a period in which we have secured more than 40 new contracts nationwide, each on a recurring per-unit daily model

Did Frost &amp; Sullivan's <b>Cybersecurity</b> Accolades Just Shift Singtel's (SGX:Z74) Investment Narrative?

Earlier in 2026, Frost & Sullivan honored Singapore Telecommunications (Singtel) with four regional awards, including Southeast Asia IoT Connectivity Service Provider Company of the Year and Singapore Cybersecurity Services Company of the Year, recognizing its role in secure, intelligent, and scalable digital infrastructure. These accolades underline how Singtel’s capabilities in enterprise connectivity, cybersecurity, and network transformation support corporate clients’ efforts to modernize operations and accelerate digital transformation across the region. Next, we examine how this recognition for Singtel’s cybersecurity services shapes its broader investment narrative amid recent short-term share price moves. The future of work is here. Discover the 33 top robotics and automation stocks leading the charge in AI-driven automation and industrial transformation. What Is Singapore Telecommunications' Investment Narrative? To own Singtel, you really have to believe in its transition from a pure telco into a regional digital infrastructure and enterprise services platform, while still valuing its cash returns. The Frost & Sullivan cybersecurity and IoT awards reinforce that story, but they are unlikely to move the dial on near term financial catalysts by themselves, especially given recent, relatively muted share price moves. More immediate drivers remain execution on capital recycling, including any Optus stake sale, the pace of data center expansion around STT GDC, and how buybacks and dividends are funded, particularly given large one off gains in FY2026 and free cash flow coverage of the dividend. The awards do modestly strengthen the case that Singtel’s enterprise positioning could help offset risks around slower forecast earnings and revenue growth. However, one risk around capital returns and cash generation still deserves closer attention. Singapore Telecommunications' share price has been on the slide but might be dropping deeper into value territory. Find out whether it's a bargain at this price. Exploring Other Perspectives Four Simply Wall St Community valuations, from

TGR Haas F1 Team Announces Exein as 'Official Physical AI Security Partner'

Formula 1 News: TGR Haas F1 Team Announces Exein as ‘Official Physical AI Security Partner’ TGR Haas F1 Team is pleased to announce a new multi-year partnership with Exein, a global leader in runtime cybersecurity, to become the team’s ‘Official Physical AI Security Partner’, beginning from the 2026 Belgian Grand Prix. Founded in Rome in 2018 by CEO Gianni Cuozzo, Exein develops runtime cybersecurity technology that protects more than two billion connected devices across sectors including automotive, industrial automation, energy, healthcare, aerospace and robotics. With offices across Germany, Taiwan and the United States, the company was established with a clear mission to address the growing cybersecurity challenges facing the rapidly expanding IoT and industrial control systems sectors. Exein secures Physical AI, humanoid robotics, and connected devices from within – with protection built into the deepest layer of the device, working continuously to safeguard data, AI agents, cloud workloads, and Linux-based environments throughout a product’s life. As the world becomes increasingly software-defined, Exein gives manufacturers the protection to stay ahead of evolving threats. Exein branding will feature on the rear wing actuator of the VF-26 challenger from this weekend’s Belgian Grand Prix, while the two organizations will also collaborate on initiatives that highlight the growing importance of cybersecurity, innovation and technological excellence in high-performance environments. “Formula 1 is built on innovation, precision and the confidence that every system performs exactly as intended,” shared Ayao Komatsu, Team Principal at TGR Haas F1 Team. “As our sport continues to embrace increasingly advanced technologies, cybersecurity has become an integral part of that landscape. We’re proud to welcome Exein to our team, as their expertise in protecting Physical AI systems aligns naturally with the technical environment we operate in, and we look forward to building a successful relationship together over the coming years.” “Formula 1

New TuxBot v3 Evolution <b>IoT</b> botnet framework shows signs of AI development

As detailed in The Hacker News, cybersecurity researchers have uncovered a new Internet-of-Things (IoT) botnet framework named TuxBot v3 Evolution. This framework exhibits characteristics suggesting it was developed with the assistance of a large language model (LLM), though the AI's contributions appear to have had mixed success.Palo Alto Networks Unit 42 reported that while the LLM generated botnet code, it included an unremoved safety disclaimer. Several functions in the analyzed samples failed to operate correctly, indicating potential flaws in the AI-assisted development process. The botnet framework is modular, featuring a C-based bot agent supporting multiple architectures, a Go-based command-and-control (C2) server with a DDoS-for-hire panel, and an exploit virtual machine. The bot agent attempts to brute-force Telnet access using a large set of credentials and exploits over 30 IoT device families. Communication with the C2 server is encrypted, with fallback mechanisms including a SHA512 domain generation algorithm and a peer-to-peer protocol.Tracing its lineage to botnets like Mirai and AISURU, TuxBot v3 Evolution also incorporates code from the MHDDoS Python toolkit. Evidence suggests development began around January 2025. The C2 server uses specific TCP ports for command dispatch, an interactive SSH shell, and programmatic access via a JSON interface. The botnet's initialization sequence includes anti-debugging measures, persistence installation, and launching of various attack modules. The framework's reliance on AI, despite its current flaws, signals a potential acceleration in feature integration for botnet development, enabling single developers to create complex toolsets. TuxBot is believed to be part of the Keksec ecosystem, known for operating multiple parallel IoT botnets.Source: The Hacker News Related Events Get daily email updates SC Media's daily must-read of the most current and pressing daily news You can skip this ad in 5 seconds

EagleCyberNest lab gives students real-world <b>cybersecurity</b> experience

Chengyi Qu teaches Florida Gulf Coast University students how to be hackers — in a good way. An assistant professor in computer science, Qu is the director of FGCU’s EagleCyberNest Cybersecurity Experiential Learning Lab, where students have the chance to work on some of today’s most pressing cybersecurity issues. “We study how to protect everyday smart devices — like home cameras, doorbells, health monitors and connected appliances — from cyber threats,” Qu said about the lab’s work. “These devices, often called the ‘Internet of Things’ (IoT), are becoming part of daily life — but many are not designed with strong security in mind.” Qu joined FGCU in 2023 to teach cybersecurity courses and help build out the university’s computer science bachelor’s and master’s programs. He realized that with the computer science industry so in flux, the best way to supplement students’ classroom learning and remain on the cutting edge of cybersecurity was to give them hands-on experience. Under his guidance, nine students have been working on projects dealing with financial technology, protecting senior citizens from hackers and artificial intelligence scams and how to utilize quantum computers transportation systems. And as a part of identifying system vulnerabilities and creating new programs, students must learn how to engage in what’s called “ethical hacking.” One of those students, Sean Peppers, won two awards at an ethical hacking debate competition last fall. He describes ethical hacking as being a situation in which “all parties are agreed and have consented to this so that you are able to ensure that their system is more robust.” “Obviously, there’s no way of making a perfect system. But if you have an attacker go in it, then you can better understand where your vulnerabilities might be,” said Peppers, a computer science major who focuses on intelligent systems, networking

<b>IoT</b> Device Management: The Foundation of Scalable Connected Ecosystems

IoT Device Management: The Foundation of Scalable Connected Ecosystems Sandeep GadeSandeep Gade The Internet of Things (IoT) ecosystem is expanding at an unprecedented pace, with billions of connected devices generating vast amounts of operational data across industries. From smart manufacturing facilities and connected healthcare systems to intelligent transportation networks and smart homes, organizations are increasingly relying on connected devices to improve efficiency, automate processes, and gain real-time insights. As the number of connected endpoints continues to grow, managing device performance, security, connectivity, and software updates has become a critical challenge for enterprises. This growing need for centralized device control is driving the adoption of IoT device management solutions worldwide. According to Transparency Market Research, the global IoT device management market was valued at US$ 1.58 Bn in 2020 and is projected to reach US$ 10.42 Bn by 2031, expanding at a robust CAGR of 18.7 percent from 2021 to 2031. The market is benefiting from rapid IoT adoption, increasing deployment of connected devices, rising security concerns, and the emergence of Industry 4.0 initiatives across multiple sectors. IoT device management encompasses the processes, platforms, and technologies used to provision, authenticate, configure, monitor, maintain, and secure connected devices throughout their lifecycle. These solutions enable organizations to remotely manage device fleets, deploy software and firmware updates, monitor performance, troubleshoot issues, and ensure seamless connectivity across distributed environments. As IoT deployments become larger and more complex, device management platforms have evolved into a foundational component of enterprise digital transformation strategies. They help organizations reduce operational complexity while improving security, scalability, and device reliability. One of the most significant factors driving the IoT device management market is the increasing demand for real-time data collection and analysis. Connected devices continuously generate large volumes of operational data that organizations use to optimize processes, improve customer experiences, and

Post-Compliance Testing for PCI PTS Explained

PCI PTS post-compliance testing is how payment service providers (PSPs) and payment device manufacturers ensure that a device is safe long after The PIN pad, POS terminal, or hardware security module passed a PCI Recognized Laboratory’s review of its firmware architecture, its resistance to physical tampering, and its handling of PINs and keys. That PTS approval is a snapshot. It’s tested against the threats known at the time of evaluation, and it’s typically valid for three years. The device itself often stays in use far longer than that snapshot is valid. In fact we can consider devices to be a static target, they sit for years often processing transactions at thousands of locations while attackers keep working on new techniques. PCI PTS post-compliance testing, as delivered by specialist companies like PCA Cyber Security, is how manufacturers and PSPs, ensure true cybersecurity resilience. What is PCI PTS Post-Compliance Testing? Post-compliance testing is testing of a PTS approved device after it is certified and (often) after it is already deployed. Only a handful companies (like PCA cybersecurity) have the skills and experience to perform this kind which can involve everything from network pen testing to firm engineering – real threats that devices face in the wild. Here’s how post and pre compliance testing differ. - Pre-compliance testing catches problems before a device goes in front of a lab, - post-compliance testing is ongoing payment device testing performed throughout the device’s working life, not a one-time check. We can see the use case for this testing in three steps: - a) Find vulnerabilities that emerge after certification, whether from new attack techniques, firmware updates, or components that were never in scope of the original PTS evaluation - b) Confirm that patches and updates applied after launch haven’t introduced new weaknesses - c) Validate

Bastazo and Nozomi Networks Team Up to Deliver Advanced <b>Cyber Security</b> Solutions to ...

Joint solution closes the critical gap between vulnerability detection and automated remediation for critical infrastructure operators BENTONVILLE, Ark., July 16, 2026 /PRNewswire/ -- Bastazo, the AI-powered OT remediation platform and Nozomi Networks Inc., the leader in AI-powered OT, IoT and CPS security today announced a technology integration that transforms how critical infrastructure operators respond to cyber threats. The integration gives OT security teams a clear, defensible path from vulnerability discovery to advanced risk reduction. "OT security teams are drowning in vulnerability data but starving for answers. They may know what's exposed, but they don't know what to fix first or how to fix it safely," said Willi Nelson, CEO of Bastazo. "Bastazo was built to solve that problem, and Nozomi's asset and network data is the ideal foundation. Together, we give critical infrastructure operators something they've never had before: complete visibility and a clear, executable plan to act on it." The integration connects directly to Nozomi's asset inventory, vulnerability findings, and network topology data — feeding that intelligence into Bastazo's attack simulation engine without requiring additional inputs or lengthy configuration analysis. Nozomi customers can immediately put that data to work with: - AI-powered vulnerability and remediation prioritization: Bastazo's SSVC engine ingests Nozomi asset data and applies organizational context, network exposure, and real adversary behavior to surface the vulnerabilities that pose genuine, imminent risk. This cuts through the noise of thousands of findings to focus teams on the 3–5% that actually matter. - Automated remediation playbooks: Step-by-step patch and no-patch plans are auto-generated for each prioritized vulnerability, tailored to OT change windows, safety protocols, and standard operating procedures, with audit-ready documentation that satisfies NERC CIP and NIST CSF requirements without extra work. - The industry's most advanced attack path analysis: Bastazo ingests Nozomi network topology data to simulate how top adversaries

What Risk Is Posed by Internet of Things Devices? Explained

Connected devices now sit inside hospitals, factories, retail stores, utilities, and smart buildings across the world. Every one of these devices adds convenience, but it also adds a new entry point for attackers. Understanding what risk is posed by Internet of Things devices starts with recognizing a simple fact; IoT hardware rarely gets the same security attention as traditional laptops and servers. Analysts at Transform Insights expect global IoT connections to approach 40 billion by the early 2030s, spanning healthcare, manufacturing, transportation, utilities, retail, and smart building systems. NIST and CISA have both published guidance warning that this growth is expanding the enterprise attack surface faster than most security teams can monitor it. Knowing how attackers exploit these devices is the first step toward reducing IoT security risks across an organization. What Risk Is Posed by Internet of Things Devices? Internet of Things devices face risks of unauthorized access, data breaches, botnet recruitment, and network compromise, largely because many ship with weak default security controls. A single unmonitored camera or sensor can give an attacker a position inside an essentially well-defended network. IoT devices commonly expose organizations to several different threats. Attackers use them to gain unauthorized access, hijack devices, and breach data, exposing sensitive information. They also utilize compromised devices to distribute malware, build botnets, and move further into a network. Physical security equipment, like cameras and access control panels, brings an added layer of risk because a breach there affects both cyber and physical safety. Security teams increasingly find that compromised IoT devices act as the opening move in a larger attack chain. An attacker rarely stops at one camera or sensor. Once inside, they look for a path toward identity systems, business applications, or operational technology. CISA and NIST both stress that IoT devices deserve the same

Why CISOs should use zero-trust security for <b>IoT</b>

Why CISOs should use zero-trust security for IoT IoT devices have significant business benefits but also open enterprises to escalating security risks. Discover why zero trust is the most practical way to secure IoT. IoT is meant to drive operational efficiency and improve decision-making, largely by automating processes and reducing overall costs. But with these benefits come escalating cybersecurity threats that target IoT devices, which are notoriously vulnerable compared to traditional IT infrastructure. Several security frameworks address IoT, including the NIST Cybersecurity Framework and IEC 62443 for industrial systems. That said, one approach -- zero trust -- has bubbled to the top as the most practical way to secure IoT. Zero trust's emphasis on continuous verification, continuous validation, microsegmentation and network-based behavioral analytics helps enterprises address visibility and enforcement gaps common when working with low-cost IoT devices. Common IoT security challenges The rapid expansion of IoT devices and other connected components has dramatically increased the attack surface for enterprise organizations. IoT systems often offer poor visibility, have limited built-in security capabilities and lack support for endpoint protection software, hobbling IT security teams. As a result, unpatched devices with weak credentials are common. Their inherent security flaws make IoT devices ripe targets for malicious hackers, who exploit them to scan the network and compromise other systems, creating a serious risk to mission-critical components and data. Supply-chain risks only compound the issue. Pre-compromised IoT devices can introduce massive threats at scale, leading to botnets and persistent backdoors that make threat remediation incredibly difficult. Enterprises that don't properly address these vulnerabilities face the constant risk of ransomware attacks, operational disruptions, and compliance and regulatory issues. The financial and reputational consequences could be catastrophic. How zero trust addresses IoT security Zero trust principles use a "never trust, always verify" philosophy, eliminating the implicit trust

<b>IoT</b>/OT security consolidation won't kill specialist vendors

Following with Accenture’s acquisition of Dragos and ServiceNow buying Armis, SJA hears exclusively from Asimily CEO Shankar Somasundarm about the IoT/OT security consolidation means for the industry. Article Chapters ToggleI’m the CEO and Founder of Asimily. The company launched in 2017. We’re an exposure management platform for IoT, OT and IoMT cyber assets. Our customer base is broad and spans industries, including manufacturing, healthcare, utilities/energy and life sciences, among others. Prior to Asimily, I was at Symantec (acquired by Broadcom), where I helped start and grow the company’s embedded/IoT market. It’s nice to see the world catching on to what Asimily believed since its founding – IoT/OT are not like any other internet-connected devices. Because each is unique and classification is not easy, it is harder to identify and classify them. They also have potentially unique attack surfaces and responses to unexpected traffic. So, all the standard cybersecurity techniques don’t apply, at least not safely. Because IoT/OT devices are growing faster than the rest of the IT market, it’s only natural that companies are going to invest in that growth. We’ve already seen the first wave of “acquisition refugees,” who are seeing the changes that acquisitions inevitably bring: different service, contracts, packaging. Many of those who don’t like what they see from their new vendor, one they did not choose, come to us for personalized service and predictability. We think considering the complexity of such devices, best of breed in this market in product and services will continue to win whether it is stand-alone or part of a larger organization. For some smaller organizations, they might find some benefit from perhaps having fewer vendors to work with, but for larger organizations they prefer best in class. Plus, organizations have a wide variety of solutions, and they want vendors who can

Ontology-driven energy-efficient SAID framework for 5G and <b>IoT</b> networks using ...

Abstract The rapid deployment and usage of 5G and IoT networks in smart cities present significant challenges for cybersecurity, particularly regarding energy efficiency and attack detection. Existing intrusion detection systems often fail to balance high detection accuracy with low energy consumption, especially in resource-constrained environments. This research paper proposes an ontology-driven novel computational framework for energy-efficient Security Attack Identification and Detection (SAID) in 5G and IoT networks. The research framework proposed is a combination of cryptographic algorithms and semantic reasoning of ontologies to efficiently detect both known and unknown attacks, as well as to optimise energy consumption. The ontology provides a formalised semantic foundation for modelling attacks, vulnerabilities, network elements, and system states. Through this capability, the contextual knowledge can be modelled, thus allowing for context advancement and integrated attack detection. Through anomaly-based detection and machine learning techniques, cryptographic algorithms for secure communication and attack detection are made possible through a hybrid solution. Using machine learning algorithms to profile the network and to identify the anomalies, the hybrid attack detection is developed, while cryptographic algorithms can monitor the integrity and confidentiality of data exchange. After that, ever-changing. Experiments conducted using the CICIDS 2017 dataset demonstrate that the proposed framework improves attack detection accuracy by 22% and reduces energy consumption by 38% compared to traditional IDS solutions. The research paper outcome confirms the effectiveness of the proposed solution in energy-constrained environments, offering a scalable and robust method for cybersecurity in 5G and IoT networks. This work advances the integration of cryptographic solutions and ontology-based models in smart city applications, providing a path for future research on energy-efficient cybersecurity. Similar content being viewed by others Funding Open access funding provided by Symbiosis International (Deemed University). The corresponding author declares that the APC funding for this research work is provided by Symbiosis International

Expanding cyber attack surface of <b>IoT</b> and IIoT | EY

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients. How EY can help - Discover how EY's Cybersecurity Transformation solution can help your organization design, deliver, and maintain cybersecurity programs. Read more The Internet of Things (IoT) is often associated with connected home devices, from closed circuit television (CCTV) systems to appliances such as air conditioning units. However, the use of sensors and smart devices extends far beyond home. Today, IoT is embedded across industries, from defense and healthcare to the critical infrastructure that underpins industrial societies enabling large-scale, interconnected systems. In today’s environment, particularly in the energy sector, industrial facilities are increasingly embedded with connected devices. They enable early identification of potential failures and preventative maintenance activities. These technologies also support condition and corrosion monitoring, real-time performance optimization, sustainability management, safety monitoring as well as remote oversight of equipment, both onshore and offshore. IoT devices can function independently or as part of interconnected systems across broader networks. These capabilities are no longer optional, they are becoming essential to everyday operations, driving cost and efficiency savings. This, in turn, enables better data-driven decisions leveraging both historical and real-time data while supporting predictive capabilities. However, IoT and industrial IoT (IIoT) devices often lack advanced security capabilities commonly found in personal computers or mobile devices1. When connected to mission critical systems, they can become the weakest link in the security chain, creating an attractive target for both state and non-state actors. IoT and IIoT are expanding the cyber attack surface IIoT is now deeply embedded across sectors such as oil and gas, utilities,

CRWD vs. CSCO: Which <b>Cybersecurity</b> Stock Should You Buy Right Now?

CRWD vs. CSCO: Which Cybersecurity Stock Should You Buy Right Now? CrowdStrike CRWD and Cisco Systems CSCO are well-known players in the cybersecurity domain. While CrowdStrike specializes in endpoint protection and extended detection and response, offering AI-native cloud security through its Falcon platform, Cisco Systems is growing its presence based on Threat Intelligence, Detection and Response offerings, which include the offerings from Splunk and Network Security. Both CRWD and CSCO are riding the key industry trends, driven by the mounting incidents of credential theft, remote desktop protocol breaches and social engineering-based strikes by malicious actors. However, from an investment point of view, one stock offers a more favorable outlook than the other right now. Let’s break down their fundamentals, growth prospects, market challenges and valuation to determine which stock offers a more compelling investment case. The Case for CrowdStrike Stock CrowdStrike provides its cybersecurity services mainly through its Falcon platform. CrowdStrike’s Falcon platform is renowned for being the industry’s first multi-tenant, cloud native, intelligent security solution. The Falcon platform helps secure workloads across on-premise, cloud-based and virtualized environments running on several endpoints, such as desktops, laptops, servers, virtual machines and IoT devices. CrowdStrike’s cloud-based Falcon platform currently provides 33 cloud modules via a software-as-a-service subscription model that is categorized under three categories: Endpoint Security, Security & IT Operations and Threat Intelligence. The share of subscription-based sales to CrowdStrike’s total revenues grew from 72% in fiscal 2017 to 95% in fiscal 2026. CrowdStrike’s Falcon Flex subscription model is becoming an important driver of its growth. Falcon Flex makes it easier for customers to access multiple modules of the Falcon platform through a single contract. This makes it easier for customers to deploy additional security products over time and expand their use of the Falcon platform, which has now become the company’s

Report: Growth in <b>IoT</b> sensor market points toward strong momentum of DX | Smart Industry

Report: Growth in IoT sensor market points toward strong momentum for DX What you’ll learn: - The IoT sensor market is set to have a compound annual growth rate of 37.6% to 2035. - The market is set to grow from around $24 billion in 2025 to $549 billion in 10 years. - Advancements in cloud computing, edge analytics, and AI are further enhancing the functionality and scalability of IoT sensor networks. As I blog from the beach while on a little working vacation, I ran across a report that seems to yield some pretty strong indications of the momentum of digital transformation: that the IoT sensor market is set to have an enormous compound annual growth rate of 37.6%. Remember that IoT is any network of physical objects embedded with sensors, software, and connectivity, allowing them to collect and exchange data for all sorts of purposes, including to feed AI-assisted services such as predictive maintenance. See also: For sweeter AI adoption, Hershey and KDP utilize Augmentir's connected worker platform Speaking of data: The data on the growth of the sensor market comes courtesy of an analysis put out last month from Global Market Insights, and it sees impressive dollar numbers behind the surge—to the tune of the 37.6% CAGR and from around $24 billion in 2025 to reach about $549 billion in 10 short years, by 2035. According to GMI, the IoT sensors market is witnessing exponential growth driven by the rapid acceleration of digital transformation across industries and the widespread integration of connected technologies. That’s all about Industry 4.0 adoption. GMI also notes that public infrastructure is driving the growth, that expanding smart projects are boosting sensor deployment across transportation, utilities, and public safety systems. “The growing use of predictive maintenance solutions is enabling enterprises to reduce operational