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IoT builds successful cities

The Internet of Things (IoT) is already chalking up successes in improving lives of urban citizens. Here are a few ways in which IoT helps to address the issues that challenge every city. All of the technology is proven and available today. To accelerate adoption, we need to show a little initiative in our homes and ask our businesses and city leaders to do likewise.Growth stresses infrastructure.We cannot continue to build ever-expanding flat cities with wider and wider freeways that are empty more than they are clogged. It costs too much and takes up too much land. We’re not prepared to spend more and more time commuting. We have no choice but to build cities with higher population densities and higher buildings.These reconfigured cities reduce transportation distances, infrastructure cost, energy consumption and greenhouse gases. Such cities make informal carpooling feasible, improve bus loading, rely more on taxis and grow the use of formal ride-sharing. These advances all depend on a myriad of IoT sensors to monitor transportation delivery and optimize energy consumption.

Spotlight

Symplio

The Symplio platform is the core product of the company. The platform provides a number of services and tools facilitating companies with Internet-connected products to manage them and integrate them into their business operation.Symplio also provides consulting services for transforming traditional products from different industries (fashion, toys, furniture, appliances, technical equipment) into Internet-enabled products that can be managed and monitored remotely.This is our vision of the Internet of Things, and how our platform can help your company shift from product to Product + Service = Experience.

OTHER ARTICLES
Industrial IoT, IoT Security

IoT Data Visualization for Corporate Finance Business Intelligence

Article | July 12, 2023

The evolution of internet-based market models has changed the way businesses operate. Present-day businesses know that data visualization in business intelligence is integral to competitive success. Therefore, businesses are now expanding their data and intelligence retrieval capacities. As a result, IoT (Internet of Things) data visualization is gaining popularity among industrialists and researchers across various disciplines. In corporate finance, IoT-based efficient data visualization analyses data from multiple sources with the help of corporate analytics management tools and manages data quality for business intelligence to reduce the risk of leaks. Impact of IoT Data Visualization on Corporate Finance BI Data is everywhere— right from a customer's first visit to your company’s website until he signs out, all the behavioral patterns and data are tracked. All this data becomes useless unless it is utilized for a particular purpose. Analyzing this data to predict future trends is one of the significant benefits of smart data visualization tools and technologies. It helps to slice and dice the data gained from different sources of different complexity levels to the minute granular level. Business intelligence utilizes these insights and the existing database to run risk analysis. It gives an overview of your financial performance and the risks and exposures it faces. And if you switch the KPIs at the center of any dashboard, your entire team can instantly access the most important and relevant data. IoT data visualization can measure big data on customers more efficiently, allowing organizations to add value to their customers. Customized tools will analyze your customers’ data and produce reports according to specific customer needs to help you get a deeper insight. Corporations can also utilize this data to better understand their competitors’ benchmarks. Customizable IoT Data to Store Millions of Data Points in One Place IoT collects millions of data from various complex sources. The data visualization dashboard contains multiple widgets that convert this data into various forms, such as line graphs, geographical maps, bar charts, pie charts, gauges, heat maps, etc. This information, transmitted into multiple visualizations, helps organizations to unlock every piece of data into a valuable asset. The Benefits of Using IoT Data Visualization Businesses can collect, analyze and monitor a variety of data using IoT, such as internet usage data, video surveillance data, mobile app usage, and social media. It helps businesses to design products and provide personalized value-added services to drive better consumer engagement. Here are some key benefits IoT data visualization offers: Unlock multiple insights across various verticals Addressing important financial concerns proactively Combination of multiple data sources into a single insightful dashboard Multi-layered visual data. Combines new data with the existing data to analyze new business opportunities. Better performance on IoT data flow. Analyze multiple data correlations in real-time Improved Collaboration Well-coordinated and efficient performance. Cost reduction Accurate data interpretation Mitigate risk factor Better decision making Conclusion Hands down, IoT data visualization intelligence in a company’s business operations will lead to better decision-making. But, before you choose an IoT data visualization tool for your business, you should know what kind of data you need to analyze and if you need any additional historical data. Because IoT services offer data visualization tools and techniques to analyze and monitor the data accordingly to predict future trends. So, it’s important to identify the goals before selecting a tool for your organization.

Read More
Enterprise Iot

Practical IoT Data Processing & Management for Businesses

Article | July 20, 2023

IoT has undeniably become the massive growth propellant for modern-day business. Enterprises employ intelligent systems to improve production in factories, and reduce costs, build industrial automation systems to replace human assignments, monitor and reduce energy; and develop autonomous transportation to enhance driver safety. Inside these embedded systems are sensors that rapidly transmit data that must be immediately captured, processed, and acted upon. Traditional embedded database solutions don't understand and meet the complex needs of IoT devices when it comes to processing and managing data. IoT edge database solutions that can understand the constant data stream from sensors enable devices to make crucial decisions in milliseconds. Real-time Edge Data Processing Enterprisers and business owners prefer scalable edge data management solutions to deploy hundreds of IoT devices so that each device can manage, collect, and analyze the massive amounts of data these IoT sensors produce without losing performance. These devices must capture and store critical information so that the IoT node can make independent decisions and trigger appropriate reactions. Database queries allow device apps to get the information they need to make intelligent decisions in real-time, quickly and without wasting time. To be successful in the IoT, you need the right data management software and the ability to quickly collect and connect device data rapidly to get low latency. IoT Data Processing and Management Standard data management solutions do not fully address the complexity of architecting software for IoT data processing. Despite being the primary data source, sensors are often constrained by their limitations and fail to provide sophisticated analysis. The focus of IoT data analysis and management is to harvest real-time information and make sense of it quickly. A good solution uses technologies that many developers are already familiar with, like SQL, to solve the new problem of analyzing IoT sensors directly on edge devices. Conclusion While building a device application, at every stage, developers must make tough calls to select the best data management and database software to launch their edge-centric IoT systems. Such costly decisions consume significant development and validation time as well. Using existing IoT data management platforms is a better way to deal with scaling, security, and the weight of data. Businesses can set up, connect, and grow their IoT infrastructure with these platforms. Organizations don't have to build their own IoT infrastructure from scratch. Instead, they can use IoT platforms that give them access to IoT devices, cloud infrastructure, and networks worldwide. Small and medium-sized businesses may find this method saves money.

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IoT Security

What Impact Will Data Management Have on Your IoT Strategy?

Article | October 11, 2023

For businesses to grow, they must be armed with the right technology and implement the right strategies to get a high return on their investments. With an IoT strategy, you can successfully make sense of the high volumes of data generated. IoT is about having devices with sensors communicate with other devices over the internet and share real-time data or parameters to maintain healthy system processes. Sharing and transferring data in real time over the cloud creates a lot of data that needs to be carefully managed. Not having a streamlined method to control and manage the volume of data to capture, send, transmit, and receive over the cloud poses many space constraints as the data piles up quickly. Furthermore, deciding what data to keep and what to discard, how long you need the data, and for what purpose are all critical. Some standard IoT devices include sensors, lights, alarms, and cameras that a smartphone can control. Learn about the importance of data management in establishing an IoT framework below. The Top Reason for Establishing an IoT Framework Needs Data Management Learning from past data trends to make future decisions in an IoT framework is critical. Data management acts as a layer between the IoT devices generating the data and the software accessing the data for analysis and services. It helps review, analyze, and navigate the massive amounts of structured and unstructured data. Defining which actions trigger responses to create data in your process is necessary to monitor your product and services and to keep your customers satisfied. In an IoT framework, managing the large amounts of data that are generated and collected means learning from the past and predicting what will happen in the future. Why is Data Management for the IoT Framework Crucial for Medium and Large Enterprises? Creating a better product is essential to add more value to your product offerings and avoid recalls, keeping your brand reputation at stake. The more data, the deeper the analysis, and the more refined the product, the greater the need to manage large amounts of data efficiently. The future of IoT data management is promising when it comes to improving all aspects of your business processes, mainly controlling the automation and manufacturing processes and software triggers. Check out the in-depth benefits of data management in IoT. Data management in IoT helps conduct a field test of your IoT products before deployment. Improve the uptime of your business production lines and equipment. Perform seamless decision-making for planning, scheduling, and execution systems to meet the changing customer and market demands using accurate and current data. Data management helps efficiently deploy IoT solutions such as enterprise resource planning (ERP), enterprise asset management (EAM), and manufacturing execution systems (MES) in manufacturing businesses. Data management helps remote monitoring of automation systems and robotic systems in industrial IoT needs current data and management. Improve production flexibility and responsiveness by welcoming smart manufacturing using IoT data management. When it comes to the data management of IoT devices, different types of data management systems take care of structured and unstructured data. 8 Data Management Systems for Your Enterprise IoT Devices IoT device management means registering, organizing, monitoring, and remotely managing IoT-connected devices at scale. Various cloud architectures with different data management systems help with efficient IoT device management. In addition, equipment data, sub-meter data, and environmental data help track the performance of your IoT devices through IoT data collection. Let's find out how data management systems for IoT devices would help develop an IoT strategy for your large enterprise. IoT gateway device management involves many steps in keeping your operations healthy and maximizing uptime. These are provisioning, authentication, configuration, control, monitoring, diagnostics, software updates, and maintenance. In addition, data management systems aim to make data available for analysis in the long term. The different data management systems are as under: Querying Production Collection Aggression/Fusion Delivery Pre-processing Storage, updating and archiving Processing or analysis. These data management systems capture, organize, store, retrieve, and analyze data when required. Sorting out the data management in IoT will initiate your internet of things database scalability. An IoT data lifecycle is built around the data management systems in the data flow, which acts as guidelines or checkpoints for a smooth data flow across your IoT platform. Let us unfold them below. Seven Guidelines for Cost-Effective IoT Data Management • Querying: Accessing and retrieving data for temporary monitoring. For example, you could ask IoT devices or sensors for data in real time to learn more about trends and patterns. • Production: Sensing and transferring data by the "things" or IoT devices in an IoT framework is the data production phase. Pushing the data to the cloud network and the IoT database servers and reporting it to the interested parties. This rich data has different formats such as audio, video, or image content, and is time-stamped and geo-stamped. • Collection: Collecting and retrieving data for a predefined time interval and sharing it with the governing components within the gateways is a part of the collection. Filtering out valuable data and compressing it accordingly helps seamless data transfer. It is also a part of data collection. • Aggression or fusion: Part of the aggression is real-time data transmission across the network to increase the rate of data streaming over the limited bandwidth. It pulls together information from different points of contact and reduces the amount of information that needs to be stored and sent. • Delivery: Collating the data from multiple touch points across the IoT framework and summing it up for the final responses is a part of the data delivery management system. Making data ready for permanent data storage is also a part of it. • Preprocessing: Removing redundant, missing, and incomplete data and making all the data unified is a part of preprocessing. Data cleaning is also one of the preprocessing methods applied to data mining. • Storage, Update, and Archiving: Storing data in an organized way for long-term offline usage or big-data systems is a part of the storage data management system. It can be decentralized or centralized as per the required capabilities. • Processing or Analysis: Retrieval of stored packets of data accessed for an efficient analysis is a part of data processing or analysis in a data management system. Whenever handling large amounts of data, an efficient data management system will solve numerous problems concerning your IoT strategy, as discussed above. Find out exactly what can keep you from implementing IoT. 5 Growth Challenges in Data Management for IoT Technology High Initial and Ongoing costs: Upgrading the hardware and software infrastructure that is already in place, hiring IoT-trained staff, and building an IoT infrastructure will all require upfront and ongoing costs. Vulnerability: Your IoT security strategy is a critical aspect of your IoT platform strategy. Multiple data points for structured and unstructured data captured, transmitted, stored, and retrieved by software come with security risks. Procuring Quality Hardware: Finding compatible hardware for your requirements and building an infrastructure around them can take a while regarding decision-making for scalability. In addition, hardware must remain supportive of the quick adoption of future software innovations. Installation and Upkeep of Hardware Infrastructure: Setting up a complex IoT strategy with the implementation of IoT data management, infrastructure, security, and more takes time and expertise. One of the other big worries is keeping the hardware infrastructure in good shape so that security can't be broken. Constraints on Scalability and Agility: The humungous IoT data traffic poses a severe concern for appropriate control of the data storage, retrieval, analysis, monitoring, and everything aligned with IoT data management. Also, the fact that IoT data doesn't last as long as other types of data is a risk to the way data flows and is collected. Now, let us figure out how to implement IoT that aligns with your business objectives. How to Implement IoT in Line with Your Business Goals A complete analysis of your immediate and long-term business objectives is critical as it helps decide which data to keep and which to discard after how much time. Every byte of data you hold and analyze comes with a cost for storage, retrieval, and security, which can be a barrier to implementing IoT for your business. Identifying IoT data collection helps you align your IoT implementation strategy with your business objectives. Here are a few ways to address your implementation of IoT. Consider the use cases of IoT data management as per the processes involved in your business. Implement security protocols for encryption and restricted access as per the type of business data. Organize training for the existing workforce and hire skilled professionals in IoT. Understand your business's data requirements, including the data collection process. Allow enough budget for IoT infrastructure and resources. Consider the design and development of the product as per the customer's behavior. Consider the impact of the environmental conditions affecting your business. Measure real-time performance metrics using a suitable IoT sensor to streamline your process. Take automated decisions with the help of AI once IoT sensors recognize the performance gaps. Choose the right IoT platform that defines how you communicate and handle data. Understand that IoT implementation is a complex process and needs commitment. Collect only the important data and statistics for a smooth workflow and to lower the cost of putting IoT into place. Taking into account where your storage and production lines are located, choose the best ways to gather, organize, and analyze your data. Use cold path analytics for the long term and hot path analytics for real-time data storage. Building infrastructure with scalability in mind will help small businesses grab market share quickly and efficiently. As a result, medium-sized enterprises will find prominence in their industry. Using data visualization in business intelligence allows for rapid optimization of your IoT devices and for controlling data management costs in the long run without negatively impacting performance. Explore more about IoT data visualization down below. Role of Data Visualization in IoT for Business Intelligence With IoT data visualization, you can optimize business processes by applying visualization business intelligence to get your business ready to scale. Discover the role of data visualization in your IoT strategy. Make sense of the data you've collected or saved. Patterns and trends should be recognized. Check the data for inconsistencies and errors. The output should then be visualized over time for analysis and monitoring. IoT infrastructure and devices improve performance and streamline the IoT data flow. Analyze real-time data correlations across multiple business verticals using the IoT communication platform. Make future decisions based on the data captured in the past. Get actionable insights on customer behavior and Identify the factors impacting your business. Once you identify the gaps in business processes, you can make changes to the process and further improvise. Creating an optimized workflow and detecting errors and faults in a process early are the primary goals of data management in an IoT strategy. Tackling vulnerabilities in data security and data redundancy helps the cost-effective implementation of IoT for small businesses, opening avenues for scalability. With IoT data management, you can also optimize your products to make customers happier and get a bigger share of the market, which is great for your business's growth. Summarizing With secure access control, encryption, software updates, endpoint security, and communication protocols in place, the relentless power of data visualization for analyzing and monitoring the captured data has proved to be unmatched. Bringing resilience and giving a rapid boost to the scalability of your medium and large enterprises is now becoming a norm with organized IoT data management. FAQs: • What is the most significant benefit of IoT? IoT helps devices or sensors report real-time data for smooth interconnected production operations. In addition, IoT keeps healthy functions throughout and minimizes the turnaround time for troubleshooting and maintenance. • What are the three types of IoT? Depending upon the needs from time to time, the three types of IoT include short form, medium form, and long form. The short form meets immediate needs, the medium form meets future needs, and the long form keeps the system running smoothly. • How does data analytics help IoT? Effective process optimization is possible by analyzing the data generated in an IoT framework. It helps boost efficiency, and connectivity, cut costs and unlock scalability.

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IoT Adoption: Before and After COVID-19

Article | April 14, 2020

The survey data I’m referring to comes from a study conducted by the Eclipse Foundation about the adoption of commercial Internet of Things (IoT) technology. The aim of the study was to get a better understanding of the IoT industry landscape by identifying the requirements, priorities, and challenges faced by organizations deploying and using commercial IoT technologies. More than 350 respondents from multiple industries responded, with about a quarter of respondents coming from industrial production businesses. While this survey was not solely focused on the manufacturing and processing industries, its results reflect the general business community’s IoT adoption at the end of 2019. As such, it is a pre-COVID-19 snapshot of IoT adoption.

Read More
Industrial IoT, IoT Security

Key IoT Security Certifications to Boost Your Career in IoT Industry

Article | July 12, 2023

The evolution of internet-based market models has changed the way businesses operate. Present-day businesses know that data visualization in business intelligence is integral to competitive success. Therefore, businesses are now expanding their data and intelligence retrieval capacities. As a result, IoT (Internet of Things) data visualization is gaining popularity among industrialists and researchers across various disciplines. In corporate finance, IoT-based efficient data visualization analyses data from multiple sources with the help of corporate analytics management tools and manages data quality for business intelligence to reduce the risk of leaks. Impact of IoT Data Visualization on Corporate Finance BI Data is everywhere— right from a customer's first visit to your company’s website until he signs out, all the behavioral patterns and data are tracked. All this data becomes useless unless it is utilized for a particular purpose. Analyzing this data to predict future trends is one of the significant benefits of smart data visualization tools and technologies. It helps to slice and dice the data gained from different sources of different complexity levels to the minute granular level. Business intelligence utilizes these insights and the existing database to run risk analysis. It gives an overview of your financial performance and the risks and exposures it faces. And if you switch the KPIs at the center of any dashboard, your entire team can instantly access the most important and relevant data. IoT data visualization can measure big data on customers more efficiently, allowing organizations to add value to their customers. Customized tools will analyze your customers’ data and produce reports according to specific customer needs to help you get a deeper insight. Corporations can also utilize this data to better understand their competitors’ benchmarks. Customizable IoT Data to Store Millions of Data Points in One Place IoT collects millions of data from various complex sources. The data visualization dashboard contains multiple widgets that convert this data into various forms, such as line graphs, geographical maps, bar charts, pie charts, gauges, heat maps, etc. This information, transmitted into multiple visualizations, helps organizations to unlock every piece of data into a valuable asset. The Benefits of Using IoT Data Visualization Businesses can collect, analyze and monitor a variety of data using IoT, such as internet usage data, video surveillance data, mobile app usage, and social media. It helps businesses to design products and provide personalized value-added services to drive better consumer engagement. Here are some key benefits IoT data visualization offers: Unlock multiple insights across various verticals Addressing important financial concerns proactively Combination of multiple data sources into a single insightful dashboard Multi-layered visual data. Combines new data with the existing data to analyze new business opportunities. Better performance on IoT data flow. Analyze multiple data correlations in real-time Improved Collaboration Well-coordinated and efficient performance. Cost reduction Accurate data interpretation Mitigate risk factor Better decision making Conclusion Hands down, IoT data visualization intelligence in a company’s business operations will lead to better decision-making. But, before you choose an IoT data visualization tool for your business, you should know what kind of data you need to analyze and if you need any additional historical data. Because IoT services offer data visualization tools and techniques to analyze and monitor the data accordingly to predict future trends. So, it’s important to identify the goals before selecting a tool for your organization.

Read More
Enterprise Iot

Securing Real-world IoT Applications through Penetration Testing

Article | July 20, 2023

IoT has undeniably become the massive growth propellant for modern-day business. Enterprises employ intelligent systems to improve production in factories, and reduce costs, build industrial automation systems to replace human assignments, monitor and reduce energy; and develop autonomous transportation to enhance driver safety. Inside these embedded systems are sensors that rapidly transmit data that must be immediately captured, processed, and acted upon. Traditional embedded database solutions don't understand and meet the complex needs of IoT devices when it comes to processing and managing data. IoT edge database solutions that can understand the constant data stream from sensors enable devices to make crucial decisions in milliseconds. Real-time Edge Data Processing Enterprisers and business owners prefer scalable edge data management solutions to deploy hundreds of IoT devices so that each device can manage, collect, and analyze the massive amounts of data these IoT sensors produce without losing performance. These devices must capture and store critical information so that the IoT node can make independent decisions and trigger appropriate reactions. Database queries allow device apps to get the information they need to make intelligent decisions in real-time, quickly and without wasting time. To be successful in the IoT, you need the right data management software and the ability to quickly collect and connect device data rapidly to get low latency. IoT Data Processing and Management Standard data management solutions do not fully address the complexity of architecting software for IoT data processing. Despite being the primary data source, sensors are often constrained by their limitations and fail to provide sophisticated analysis. The focus of IoT data analysis and management is to harvest real-time information and make sense of it quickly. A good solution uses technologies that many developers are already familiar with, like SQL, to solve the new problem of analyzing IoT sensors directly on edge devices. Conclusion While building a device application, at every stage, developers must make tough calls to select the best data management and database software to launch their edge-centric IoT systems. Such costly decisions consume significant development and validation time as well. Using existing IoT data management platforms is a better way to deal with scaling, security, and the weight of data. Businesses can set up, connect, and grow their IoT infrastructure with these platforms. Organizations don't have to build their own IoT infrastructure from scratch. Instead, they can use IoT platforms that give them access to IoT devices, cloud infrastructure, and networks worldwide. Small and medium-sized businesses may find this method saves money.

Read More
IoT Security

Top Technologies in IoT Network Security for Network Resilience

Article | October 11, 2023

For businesses to grow, they must be armed with the right technology and implement the right strategies to get a high return on their investments. With an IoT strategy, you can successfully make sense of the high volumes of data generated. IoT is about having devices with sensors communicate with other devices over the internet and share real-time data or parameters to maintain healthy system processes. Sharing and transferring data in real time over the cloud creates a lot of data that needs to be carefully managed. Not having a streamlined method to control and manage the volume of data to capture, send, transmit, and receive over the cloud poses many space constraints as the data piles up quickly. Furthermore, deciding what data to keep and what to discard, how long you need the data, and for what purpose are all critical. Some standard IoT devices include sensors, lights, alarms, and cameras that a smartphone can control. Learn about the importance of data management in establishing an IoT framework below. The Top Reason for Establishing an IoT Framework Needs Data Management Learning from past data trends to make future decisions in an IoT framework is critical. Data management acts as a layer between the IoT devices generating the data and the software accessing the data for analysis and services. It helps review, analyze, and navigate the massive amounts of structured and unstructured data. Defining which actions trigger responses to create data in your process is necessary to monitor your product and services and to keep your customers satisfied. In an IoT framework, managing the large amounts of data that are generated and collected means learning from the past and predicting what will happen in the future. Why is Data Management for the IoT Framework Crucial for Medium and Large Enterprises? Creating a better product is essential to add more value to your product offerings and avoid recalls, keeping your brand reputation at stake. The more data, the deeper the analysis, and the more refined the product, the greater the need to manage large amounts of data efficiently. The future of IoT data management is promising when it comes to improving all aspects of your business processes, mainly controlling the automation and manufacturing processes and software triggers. Check out the in-depth benefits of data management in IoT. Data management in IoT helps conduct a field test of your IoT products before deployment. Improve the uptime of your business production lines and equipment. Perform seamless decision-making for planning, scheduling, and execution systems to meet the changing customer and market demands using accurate and current data. Data management helps efficiently deploy IoT solutions such as enterprise resource planning (ERP), enterprise asset management (EAM), and manufacturing execution systems (MES) in manufacturing businesses. Data management helps remote monitoring of automation systems and robotic systems in industrial IoT needs current data and management. Improve production flexibility and responsiveness by welcoming smart manufacturing using IoT data management. When it comes to the data management of IoT devices, different types of data management systems take care of structured and unstructured data. 8 Data Management Systems for Your Enterprise IoT Devices IoT device management means registering, organizing, monitoring, and remotely managing IoT-connected devices at scale. Various cloud architectures with different data management systems help with efficient IoT device management. In addition, equipment data, sub-meter data, and environmental data help track the performance of your IoT devices through IoT data collection. Let's find out how data management systems for IoT devices would help develop an IoT strategy for your large enterprise. IoT gateway device management involves many steps in keeping your operations healthy and maximizing uptime. These are provisioning, authentication, configuration, control, monitoring, diagnostics, software updates, and maintenance. In addition, data management systems aim to make data available for analysis in the long term. The different data management systems are as under: Querying Production Collection Aggression/Fusion Delivery Pre-processing Storage, updating and archiving Processing or analysis. These data management systems capture, organize, store, retrieve, and analyze data when required. Sorting out the data management in IoT will initiate your internet of things database scalability. An IoT data lifecycle is built around the data management systems in the data flow, which acts as guidelines or checkpoints for a smooth data flow across your IoT platform. Let us unfold them below. Seven Guidelines for Cost-Effective IoT Data Management • Querying: Accessing and retrieving data for temporary monitoring. For example, you could ask IoT devices or sensors for data in real time to learn more about trends and patterns. • Production: Sensing and transferring data by the "things" or IoT devices in an IoT framework is the data production phase. Pushing the data to the cloud network and the IoT database servers and reporting it to the interested parties. This rich data has different formats such as audio, video, or image content, and is time-stamped and geo-stamped. • Collection: Collecting and retrieving data for a predefined time interval and sharing it with the governing components within the gateways is a part of the collection. Filtering out valuable data and compressing it accordingly helps seamless data transfer. It is also a part of data collection. • Aggression or fusion: Part of the aggression is real-time data transmission across the network to increase the rate of data streaming over the limited bandwidth. It pulls together information from different points of contact and reduces the amount of information that needs to be stored and sent. • Delivery: Collating the data from multiple touch points across the IoT framework and summing it up for the final responses is a part of the data delivery management system. Making data ready for permanent data storage is also a part of it. • Preprocessing: Removing redundant, missing, and incomplete data and making all the data unified is a part of preprocessing. Data cleaning is also one of the preprocessing methods applied to data mining. • Storage, Update, and Archiving: Storing data in an organized way for long-term offline usage or big-data systems is a part of the storage data management system. It can be decentralized or centralized as per the required capabilities. • Processing or Analysis: Retrieval of stored packets of data accessed for an efficient analysis is a part of data processing or analysis in a data management system. Whenever handling large amounts of data, an efficient data management system will solve numerous problems concerning your IoT strategy, as discussed above. Find out exactly what can keep you from implementing IoT. 5 Growth Challenges in Data Management for IoT Technology High Initial and Ongoing costs: Upgrading the hardware and software infrastructure that is already in place, hiring IoT-trained staff, and building an IoT infrastructure will all require upfront and ongoing costs. Vulnerability: Your IoT security strategy is a critical aspect of your IoT platform strategy. Multiple data points for structured and unstructured data captured, transmitted, stored, and retrieved by software come with security risks. Procuring Quality Hardware: Finding compatible hardware for your requirements and building an infrastructure around them can take a while regarding decision-making for scalability. In addition, hardware must remain supportive of the quick adoption of future software innovations. Installation and Upkeep of Hardware Infrastructure: Setting up a complex IoT strategy with the implementation of IoT data management, infrastructure, security, and more takes time and expertise. One of the other big worries is keeping the hardware infrastructure in good shape so that security can't be broken. Constraints on Scalability and Agility: The humungous IoT data traffic poses a severe concern for appropriate control of the data storage, retrieval, analysis, monitoring, and everything aligned with IoT data management. Also, the fact that IoT data doesn't last as long as other types of data is a risk to the way data flows and is collected. Now, let us figure out how to implement IoT that aligns with your business objectives. How to Implement IoT in Line with Your Business Goals A complete analysis of your immediate and long-term business objectives is critical as it helps decide which data to keep and which to discard after how much time. Every byte of data you hold and analyze comes with a cost for storage, retrieval, and security, which can be a barrier to implementing IoT for your business. Identifying IoT data collection helps you align your IoT implementation strategy with your business objectives. Here are a few ways to address your implementation of IoT. Consider the use cases of IoT data management as per the processes involved in your business. Implement security protocols for encryption and restricted access as per the type of business data. Organize training for the existing workforce and hire skilled professionals in IoT. Understand your business's data requirements, including the data collection process. Allow enough budget for IoT infrastructure and resources. Consider the design and development of the product as per the customer's behavior. Consider the impact of the environmental conditions affecting your business. Measure real-time performance metrics using a suitable IoT sensor to streamline your process. Take automated decisions with the help of AI once IoT sensors recognize the performance gaps. Choose the right IoT platform that defines how you communicate and handle data. Understand that IoT implementation is a complex process and needs commitment. Collect only the important data and statistics for a smooth workflow and to lower the cost of putting IoT into place. Taking into account where your storage and production lines are located, choose the best ways to gather, organize, and analyze your data. Use cold path analytics for the long term and hot path analytics for real-time data storage. Building infrastructure with scalability in mind will help small businesses grab market share quickly and efficiently. As a result, medium-sized enterprises will find prominence in their industry. Using data visualization in business intelligence allows for rapid optimization of your IoT devices and for controlling data management costs in the long run without negatively impacting performance. Explore more about IoT data visualization down below. Role of Data Visualization in IoT for Business Intelligence With IoT data visualization, you can optimize business processes by applying visualization business intelligence to get your business ready to scale. Discover the role of data visualization in your IoT strategy. Make sense of the data you've collected or saved. Patterns and trends should be recognized. Check the data for inconsistencies and errors. The output should then be visualized over time for analysis and monitoring. IoT infrastructure and devices improve performance and streamline the IoT data flow. Analyze real-time data correlations across multiple business verticals using the IoT communication platform. Make future decisions based on the data captured in the past. Get actionable insights on customer behavior and Identify the factors impacting your business. Once you identify the gaps in business processes, you can make changes to the process and further improvise. Creating an optimized workflow and detecting errors and faults in a process early are the primary goals of data management in an IoT strategy. Tackling vulnerabilities in data security and data redundancy helps the cost-effective implementation of IoT for small businesses, opening avenues for scalability. With IoT data management, you can also optimize your products to make customers happier and get a bigger share of the market, which is great for your business's growth. Summarizing With secure access control, encryption, software updates, endpoint security, and communication protocols in place, the relentless power of data visualization for analyzing and monitoring the captured data has proved to be unmatched. Bringing resilience and giving a rapid boost to the scalability of your medium and large enterprises is now becoming a norm with organized IoT data management. FAQs: • What is the most significant benefit of IoT? IoT helps devices or sensors report real-time data for smooth interconnected production operations. In addition, IoT keeps healthy functions throughout and minimizes the turnaround time for troubleshooting and maintenance. • What are the three types of IoT? Depending upon the needs from time to time, the three types of IoT include short form, medium form, and long form. The short form meets immediate needs, the medium form meets future needs, and the long form keeps the system running smoothly. • How does data analytics help IoT? Effective process optimization is possible by analyzing the data generated in an IoT framework. It helps boost efficiency, and connectivity, cut costs and unlock scalability.

Read More

IoT Adoption: Before and After COVID-19

Article | April 14, 2020

The survey data I’m referring to comes from a study conducted by the Eclipse Foundation about the adoption of commercial Internet of Things (IoT) technology. The aim of the study was to get a better understanding of the IoT industry landscape by identifying the requirements, priorities, and challenges faced by organizations deploying and using commercial IoT technologies. More than 350 respondents from multiple industries responded, with about a quarter of respondents coming from industrial production businesses. While this survey was not solely focused on the manufacturing and processing industries, its results reflect the general business community’s IoT adoption at the end of 2019. As such, it is a pre-COVID-19 snapshot of IoT adoption.

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Spotlight

Symplio

The Symplio platform is the core product of the company. The platform provides a number of services and tools facilitating companies with Internet-connected products to manage them and integrate them into their business operation.Symplio also provides consulting services for transforming traditional products from different industries (fashion, toys, furniture, appliances, technical equipment) into Internet-enabled products that can be managed and monitored remotely.This is our vision of the Internet of Things, and how our platform can help your company shift from product to Product + Service = Experience.

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Industrial IoT

Tuya Smart Delivers IoT Best Practice Using Amazon Aurora, Leads the Direction of Cloud Database Innovation Use Cases with Amazon Web Services

Tuya Smart | January 24, 2024

Tuya Smart, the global IoT developer service provider, has delivered its Best Practices in using Amazon Aurora at IoT industry. Amazon Aurora is a relational database management system (RDBMS) built for the cloud with full MySQL and PostgreSQL compatibility. Tuya and Amazon Web Services (AWS) built a solid basis of collaboration in database use cases exploration while also delivering smooth operation of billions of devices requiring high concurrency and low latency. Tuya and AWS: Building a benchmark for database implementation practice Tuya is a leading technology company focused on making our lives smarter. Tuya does this by offering a cloud platform that connects a range of devices via the IoT. By building interconnectivity standards, Tuya bridges the intelligent needs of brands, OEMs, developers, and retail chains across a broad range of smart devices and industries. Tuya's solutions enable partners and customers by improving the value of their products while making consumers' lives more convenient through the application of technology. As of September 30, 2023, the Tuya IoT Developer Platform has accumulated over 909,000 registered developers from over 200 countries and regions, covering industries including real estate, hospitality, residential, industry, agriculture, etc. The greater the breadth of business coverage, the more advanced technological support required. Tuya faces high-frequency reads and writes as well as enormous data storage challenges from billion-level online devices. Meanwhile, due to the commercial scenarios involving smart homes and smart industries, Tuya's operating response demands low latency in order to deliver a smoother user experience. Furthermore, Tuya's quick expansion and regular business changes have posed significant challenges to its operation and maintenance management. Tuya selected Amazon Aurora as core database engine for its unparalleled performance and availability at global scale. How does Tuya specifically leverage the Amazon Aurora database? Tuya currently manages billions of real-time online devices and can keep cloud message processing response times under 10 milliseconds. However, billions online devices provide a challenge. During holidays, there will be peak traffic volume, with tens of millions of devices going online and offline virtually simultaneously. Tuya used Amazon Aurora to construct a data storage solution to solve the main problem of rapid increase in short-term traffic, and to fully utilize resources. Aurora's design, which separates compute and storage and low-latency replication functionality, improves system throughput by enhancing the effect of read-write separation. Aurora provides up to 15 read replicas, setting the groundwork for Tuya's read flexibility development. At the same time, Tuya has integrated Aurora Serverless, which includes seconds-level elastic expansion and contraction, allowing Tuya to handle extremely heavy business traffic smoothly. Tuya's customers are located throughout more than 200 nations and regions, and they deal with widespread access to IoT data. Different countries and regions have different regulations on data compliance, such as GDPR and local PII. Tuya needs to adhere to each region's data security compliance regulations. As Tuya's primary business data storage provider, Amazon Aurora was among the first in the public cloud sector to enable physical encryption for database products, which significantly decreased the cost of Tuya's security compliance transformation and gave Tuya excellent basic security guarantees. In addition, Tuya is continuously testing out additional new innovation unique to Aurora, such as Enhanced Binlog, zero-ETL, and Limitless Database. Aurora's ongoing investment in innovative technologies provides more opportunities for Tuya to expand its business. Additionally, based on Tuya's comprehensive IoT developer platform architecture, both parties have collaborated to enhance Tuya IoT applications performance indicators like stability, low latency, scalability, and security in the real-world application of databases, revealing more potential and possibilities and enabling the IoT. Tuya and AWS: Continuously promoting the evolution of cloud experience Data-driven approaches will usher in a new era of innovation in tandem with the swift advancement of data applications. At this year's re:Invent conference, Peter DeSantis, Senior Vice President of AWS, reviewed the relational database's development history in great detail. In 2014, AWS created Aurora based on log architecture. In 2018, the release of Aurora Serverless allowed for seamless scaling of database resources through virtualization technology. This year, AWS announced the launch of the Amazon Aurora Limitless Database, which automatically scales to millions of write transactions per second well beyond current limits of a single PostgreSQL instance. It is apparent from Amazon Aurora's development history that AWS has always been dedicated to innovation. Customers and partners from a range of industries actively utilizes AWS to enable rapid innovation in a variety of ways, while also working together to enhance the cloud experience. Similar to how Tuya and AWS work together, Tuya's effective and user-friendly IoT developer platform and rich and varied IoT solutions have built a significant lighthouse, embracing the Amazon Aurora's innovation and accelerated the process of building a more secure and reliable IoT database use case. Amazon Aurora VP Yan Leshinsky said, "Amazon Aurora is the fastest growing service in the history of AWS and is trusted by hundreds of thousands of customers. We innovate by working backwards from customers' needs, and we appreciate the feedback that Tuya has shared. We remain committed in developing new Aurora features and capabilities so all customers can accelerate their applications' capabilities and business growth by using Aurora." "Tuya has always committed to strengthening advanced and valuable innovations, while offering open and neutral ecosystem assistance for global partners. We provide our developers with enhanced operational and maintenance control, adaptable data storage options, superior product experience, and a global business layout by utilizing the Amazon Aurora database. We will continue to work with AWS to benefit the world in the future in areas including technology, ecosystems, and cloud computing, helping customers achieve commercial success." said Eva Na, Vice President of Marketing and Strategic Cooperation, and CMO of Tuya Smart. Enhancing the partnership with AWS, Tuya delivered IoT best practice using Amazon Aurora database, giving the industry's growth additional impetus. Tuya will maintain its open and neutral stance going forward, collaborating with cloud service providers like AWS to offer global developers a more secure, reliable, and productive cloud environment, thereby advancing the innovation and development of the entire industry.

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Enterprise Iot

Nozomi Networks Delivers Industry's First Multi-Spectrum Wireless Security Sensor for Global OT and IoT Environments

Nozomi Networks | January 25, 2024

Nozomi Networks Inc., the leader in OT and IoT security, today introduced Guardian Air™, the industry's only wireless spectrum sensor purpose-built for OT and IoT environments worldwide. With 80 percent of new IoT deployments wirelessly connected, wireless is quickly becoming a preferred network. The explosion of wirelessly connected devices increases potential access points and exploitation of networks. This puts critical infrastructure at risk of cyberattacks and disruptions to operations. Guardian Air provides much-needed visibility into wirelessly enabled devices which until now were only detected once connected to the wired network. Guardian Air monitors several prominent wireless frequencies, not just Bluetooth and Wi-Fi, to provide security teams with immediate visibility of connected sensors, devices, laptops and cell phones. With the addition of Guardian Air, customers have a comprehensive network solution all in one integrated platform. "Nozomi Networks has once again innovated to address an unmet need for wireless-level monitoring in OT and IoT environments," said Danielle VanZandt, an industry manager for commercial and public security research at Frost & Sullivan. "From smart manufacturing to digital medicine, to building automation, to modern oil field production and more, today industrial organizations are relying on billions of wireless devices to speed production and time to market. Guardian Air gives IT security professionals and OT operators the visibility they need to get a firm handle on wireless risk management and response." With Guardian Air, IT security professionals and OT operators can: Continuously monitor prominent wireless frequency technologies used in OT and IoT environments including Bluetooth, Wi-Fi, cellular, LoRaWAN, Zigbee, GPS, drone RF protocols, WirelessHART and more, Immediately detect wirelessly connected assets and gain asset information to quickly address unauthorized installations, Detect wireless-specific threats, including brute force attacks, spoofing, and bluejacking – with the added ability to determine the location of the devices performing the attacks, Seamlessly integrate wireless data into a single OT & IoT security platform that unifies asset visibility from the endpoint and across wired and wireless networks. "Wireless is fundamentally changing the way industrial organizations operate. Unfortunately, it also massively expands the potential attack surface," said Nozomi Networks Co-founder and Chief Product Officer Andrea Carcano. "Guardian Air solves this problem by giving customers the accurate visibility they need at the wireless level to minimize risk while maximizing resiliency. Because Guardian Air integrates easily into the Nozomi Networks Vantage platform, customers can combine network, endpoint and wireless for the greatest visibility, threat detection and AI-powered analysis for real-time security management and remediation across the entire attack surface." The Nozomi Guardian Air wireless sensor will be available this spring from Nozomi Networks and its extensive global network of channel partners. About Nozomi Networks Nozomi Networks accelerates digital transformation by protecting the world's critical infrastructure, industrial and government organizations from cyber threats. Our solution delivers exceptional network and asset visibility, threat detection, and insights for OT and IoT environments. Customers rely on us to minimize risk and complexity while maximizing operational resilience. www.nozominetworks.com

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IoT Security

AppViewX Digital Trust Platform Named IoT Security Product of the Year

AppViewX | January 12, 2024

AppViewX, the leader in automated machine identity management (MIM) and application infrastructure security, today announced the AppViewX Digital Trust Platform has been named IoT Security Product of the Year in the 8th annual IoT Breakthrough awards program, which showcases technologies and companies that drive innovation and exemplify the best in IoT technology solutions across the globe. IoT Breakthrough is a leading market intelligence organization that recognizes the top companies, technologies and products in the global IoT market. The mission of the IoT Breakthrough Awards program is to recognize the innovators, leaders and visionaries from around the globe in a range of IoT categories, including Industrial and Enterprise IoT, Smart City technology, Connected Home and Home Automation, Connected Car, and many more. This year's program attracted nominations from companies all over the world. “Unmanaged machine identities for IoT devices can create critical security vulnerabilities, but for most organizations discovering, maintaining visibility into and controlling them has become manually unfeasible,” said Gregory Webb, CEO of AppViewX. “The AppViewX Digital Trust Platform automates IoT identity management at scale across the largest, most complex and distributed customer environments, allowing customers to achieve significantly stronger security posture and meet compliance requirements.” All IoT Breakthrough Award nominations were evaluated by an independent panel of experts within the IoT industry, with the winning products and companies selected based on a variety of criteria, including most innovative and technologically advanced products and services. About AppViewX Digital Trust Platform Out of the box, AppViewX provides instant value to customers by discovering all certificates across complex enterprise environments, building and maintaining inventories, provisioning both private and public trust certificates from any CA, alerting to expiring certificates and fully automating renewals and revocation to eliminate outages and security weaknesses across machines, applications, services, and security infrastructure. About AppViewX AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated machine identity management and application infrastructure security and orchestration. The AppViewX platform provides complete certificate lifecycle management and PKI-as-a-Service using streamlined workflows to prevent outages, reduce security incidents and enable crypto-agility. Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers rely on AppViewX to automate NetOps, SecOps, and DevOps. AppViewX is headquartered in New York with offices in the U.K., Australia and three development centers of excellence in India. For more information, visit https://www.appviewx.com and follow us on LinkedIn and Twitter.

Read More

Industrial IoT

Tuya Smart Delivers IoT Best Practice Using Amazon Aurora, Leads the Direction of Cloud Database Innovation Use Cases with Amazon Web Services

Tuya Smart | January 24, 2024

Tuya Smart, the global IoT developer service provider, has delivered its Best Practices in using Amazon Aurora at IoT industry. Amazon Aurora is a relational database management system (RDBMS) built for the cloud with full MySQL and PostgreSQL compatibility. Tuya and Amazon Web Services (AWS) built a solid basis of collaboration in database use cases exploration while also delivering smooth operation of billions of devices requiring high concurrency and low latency. Tuya and AWS: Building a benchmark for database implementation practice Tuya is a leading technology company focused on making our lives smarter. Tuya does this by offering a cloud platform that connects a range of devices via the IoT. By building interconnectivity standards, Tuya bridges the intelligent needs of brands, OEMs, developers, and retail chains across a broad range of smart devices and industries. Tuya's solutions enable partners and customers by improving the value of their products while making consumers' lives more convenient through the application of technology. As of September 30, 2023, the Tuya IoT Developer Platform has accumulated over 909,000 registered developers from over 200 countries and regions, covering industries including real estate, hospitality, residential, industry, agriculture, etc. The greater the breadth of business coverage, the more advanced technological support required. Tuya faces high-frequency reads and writes as well as enormous data storage challenges from billion-level online devices. Meanwhile, due to the commercial scenarios involving smart homes and smart industries, Tuya's operating response demands low latency in order to deliver a smoother user experience. Furthermore, Tuya's quick expansion and regular business changes have posed significant challenges to its operation and maintenance management. Tuya selected Amazon Aurora as core database engine for its unparalleled performance and availability at global scale. How does Tuya specifically leverage the Amazon Aurora database? Tuya currently manages billions of real-time online devices and can keep cloud message processing response times under 10 milliseconds. However, billions online devices provide a challenge. During holidays, there will be peak traffic volume, with tens of millions of devices going online and offline virtually simultaneously. Tuya used Amazon Aurora to construct a data storage solution to solve the main problem of rapid increase in short-term traffic, and to fully utilize resources. Aurora's design, which separates compute and storage and low-latency replication functionality, improves system throughput by enhancing the effect of read-write separation. Aurora provides up to 15 read replicas, setting the groundwork for Tuya's read flexibility development. At the same time, Tuya has integrated Aurora Serverless, which includes seconds-level elastic expansion and contraction, allowing Tuya to handle extremely heavy business traffic smoothly. Tuya's customers are located throughout more than 200 nations and regions, and they deal with widespread access to IoT data. Different countries and regions have different regulations on data compliance, such as GDPR and local PII. Tuya needs to adhere to each region's data security compliance regulations. As Tuya's primary business data storage provider, Amazon Aurora was among the first in the public cloud sector to enable physical encryption for database products, which significantly decreased the cost of Tuya's security compliance transformation and gave Tuya excellent basic security guarantees. In addition, Tuya is continuously testing out additional new innovation unique to Aurora, such as Enhanced Binlog, zero-ETL, and Limitless Database. Aurora's ongoing investment in innovative technologies provides more opportunities for Tuya to expand its business. Additionally, based on Tuya's comprehensive IoT developer platform architecture, both parties have collaborated to enhance Tuya IoT applications performance indicators like stability, low latency, scalability, and security in the real-world application of databases, revealing more potential and possibilities and enabling the IoT. Tuya and AWS: Continuously promoting the evolution of cloud experience Data-driven approaches will usher in a new era of innovation in tandem with the swift advancement of data applications. At this year's re:Invent conference, Peter DeSantis, Senior Vice President of AWS, reviewed the relational database's development history in great detail. In 2014, AWS created Aurora based on log architecture. In 2018, the release of Aurora Serverless allowed for seamless scaling of database resources through virtualization technology. This year, AWS announced the launch of the Amazon Aurora Limitless Database, which automatically scales to millions of write transactions per second well beyond current limits of a single PostgreSQL instance. It is apparent from Amazon Aurora's development history that AWS has always been dedicated to innovation. Customers and partners from a range of industries actively utilizes AWS to enable rapid innovation in a variety of ways, while also working together to enhance the cloud experience. Similar to how Tuya and AWS work together, Tuya's effective and user-friendly IoT developer platform and rich and varied IoT solutions have built a significant lighthouse, embracing the Amazon Aurora's innovation and accelerated the process of building a more secure and reliable IoT database use case. Amazon Aurora VP Yan Leshinsky said, "Amazon Aurora is the fastest growing service in the history of AWS and is trusted by hundreds of thousands of customers. We innovate by working backwards from customers' needs, and we appreciate the feedback that Tuya has shared. We remain committed in developing new Aurora features and capabilities so all customers can accelerate their applications' capabilities and business growth by using Aurora." "Tuya has always committed to strengthening advanced and valuable innovations, while offering open and neutral ecosystem assistance for global partners. We provide our developers with enhanced operational and maintenance control, adaptable data storage options, superior product experience, and a global business layout by utilizing the Amazon Aurora database. We will continue to work with AWS to benefit the world in the future in areas including technology, ecosystems, and cloud computing, helping customers achieve commercial success." said Eva Na, Vice President of Marketing and Strategic Cooperation, and CMO of Tuya Smart. Enhancing the partnership with AWS, Tuya delivered IoT best practice using Amazon Aurora database, giving the industry's growth additional impetus. Tuya will maintain its open and neutral stance going forward, collaborating with cloud service providers like AWS to offer global developers a more secure, reliable, and productive cloud environment, thereby advancing the innovation and development of the entire industry.

Read More

Enterprise Iot

Nozomi Networks Delivers Industry's First Multi-Spectrum Wireless Security Sensor for Global OT and IoT Environments

Nozomi Networks | January 25, 2024

Nozomi Networks Inc., the leader in OT and IoT security, today introduced Guardian Air™, the industry's only wireless spectrum sensor purpose-built for OT and IoT environments worldwide. With 80 percent of new IoT deployments wirelessly connected, wireless is quickly becoming a preferred network. The explosion of wirelessly connected devices increases potential access points and exploitation of networks. This puts critical infrastructure at risk of cyberattacks and disruptions to operations. Guardian Air provides much-needed visibility into wirelessly enabled devices which until now were only detected once connected to the wired network. Guardian Air monitors several prominent wireless frequencies, not just Bluetooth and Wi-Fi, to provide security teams with immediate visibility of connected sensors, devices, laptops and cell phones. With the addition of Guardian Air, customers have a comprehensive network solution all in one integrated platform. "Nozomi Networks has once again innovated to address an unmet need for wireless-level monitoring in OT and IoT environments," said Danielle VanZandt, an industry manager for commercial and public security research at Frost & Sullivan. "From smart manufacturing to digital medicine, to building automation, to modern oil field production and more, today industrial organizations are relying on billions of wireless devices to speed production and time to market. Guardian Air gives IT security professionals and OT operators the visibility they need to get a firm handle on wireless risk management and response." With Guardian Air, IT security professionals and OT operators can: Continuously monitor prominent wireless frequency technologies used in OT and IoT environments including Bluetooth, Wi-Fi, cellular, LoRaWAN, Zigbee, GPS, drone RF protocols, WirelessHART and more, Immediately detect wirelessly connected assets and gain asset information to quickly address unauthorized installations, Detect wireless-specific threats, including brute force attacks, spoofing, and bluejacking – with the added ability to determine the location of the devices performing the attacks, Seamlessly integrate wireless data into a single OT & IoT security platform that unifies asset visibility from the endpoint and across wired and wireless networks. "Wireless is fundamentally changing the way industrial organizations operate. Unfortunately, it also massively expands the potential attack surface," said Nozomi Networks Co-founder and Chief Product Officer Andrea Carcano. "Guardian Air solves this problem by giving customers the accurate visibility they need at the wireless level to minimize risk while maximizing resiliency. Because Guardian Air integrates easily into the Nozomi Networks Vantage platform, customers can combine network, endpoint and wireless for the greatest visibility, threat detection and AI-powered analysis for real-time security management and remediation across the entire attack surface." The Nozomi Guardian Air wireless sensor will be available this spring from Nozomi Networks and its extensive global network of channel partners. About Nozomi Networks Nozomi Networks accelerates digital transformation by protecting the world's critical infrastructure, industrial and government organizations from cyber threats. Our solution delivers exceptional network and asset visibility, threat detection, and insights for OT and IoT environments. Customers rely on us to minimize risk and complexity while maximizing operational resilience. www.nozominetworks.com

Read More

IoT Security

AppViewX Digital Trust Platform Named IoT Security Product of the Year

AppViewX | January 12, 2024

AppViewX, the leader in automated machine identity management (MIM) and application infrastructure security, today announced the AppViewX Digital Trust Platform has been named IoT Security Product of the Year in the 8th annual IoT Breakthrough awards program, which showcases technologies and companies that drive innovation and exemplify the best in IoT technology solutions across the globe. IoT Breakthrough is a leading market intelligence organization that recognizes the top companies, technologies and products in the global IoT market. The mission of the IoT Breakthrough Awards program is to recognize the innovators, leaders and visionaries from around the globe in a range of IoT categories, including Industrial and Enterprise IoT, Smart City technology, Connected Home and Home Automation, Connected Car, and many more. This year's program attracted nominations from companies all over the world. “Unmanaged machine identities for IoT devices can create critical security vulnerabilities, but for most organizations discovering, maintaining visibility into and controlling them has become manually unfeasible,” said Gregory Webb, CEO of AppViewX. “The AppViewX Digital Trust Platform automates IoT identity management at scale across the largest, most complex and distributed customer environments, allowing customers to achieve significantly stronger security posture and meet compliance requirements.” All IoT Breakthrough Award nominations were evaluated by an independent panel of experts within the IoT industry, with the winning products and companies selected based on a variety of criteria, including most innovative and technologically advanced products and services. About AppViewX Digital Trust Platform Out of the box, AppViewX provides instant value to customers by discovering all certificates across complex enterprise environments, building and maintaining inventories, provisioning both private and public trust certificates from any CA, alerting to expiring certificates and fully automating renewals and revocation to eliminate outages and security weaknesses across machines, applications, services, and security infrastructure. About AppViewX AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated machine identity management and application infrastructure security and orchestration. The AppViewX platform provides complete certificate lifecycle management and PKI-as-a-Service using streamlined workflows to prevent outages, reduce security incidents and enable crypto-agility. Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers rely on AppViewX to automate NetOps, SecOps, and DevOps. AppViewX is headquartered in New York with offices in the U.K., Australia and three development centers of excellence in India. For more information, visit https://www.appviewx.com and follow us on LinkedIn and Twitter.

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