DigiFlight Strengthens <b>Cybersecurity</b> Compliance
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IoT Cyber
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
Robotics & <b>IoT</b>: Future Security & Mold Detection Secrets Revealed! #shorts
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<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
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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,