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Increasing Interaction with IoT Making Digital Identity Important

Recently, the vice chairperson of MasterCard stated that our digital identity would play a crucial role in the near future. The pace at which we are moving towards Internet of Things (IoT) is the key cause behind it. She also said that the inclusion of everyone would lead to Internet of Everyone. At the Mobile World Congress in Barcelona, Ann Cairns said that the focus must be on the way humans will get involved. Human inclusion will provide information to their digital identity. She said the need is to find safe and secure ways to gather data. However, different sources need to be searched and then recombined to create digital identity. With this, a person can operate anywhere across the globe. Nevertheless, one can tokenize the data, as the token will only move and create the identity for the person.

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Enterprise Iot

How the Internet of Things (IoT) is used in modern AI applications

Article | July 20, 2023

Artificial intelligence (AI) has already made headway into becoming a general-purpose technology vastly impacting economies. Yet, the interpretation and estimated trajectory for something remotely close to what we call AI now was first explored in the 1950s. Until this very day, AI keeps on evolving further. Though let’s face it, AI would have been useless without data. With around 2.5 quintillion bytes of data being generated every day, the numbers will shoot up as the Internet of Things (IoT) enters the game. Let’s see what this is all about and where and how exactly IoT crosses paths with AI applications. IoT fundamentals: Where does IoT meet AI The benefits of IoT in AI Challenges of IoT in AI Why implement machine learning in IoT IoT applications for AI Key takeaways IoT fundamentals: Where does IoT meet AI? What is meant by the term internet of things (IoT) is essentially a system of correlated digital and mechanical appliances, computing devices, and sensors embedded often into everyday objects that transfer data over a network. IoT connects the internet to any and every physical thing or place in the world. Modern IoT has advanced from the mere merging of microelectromechanical systems to wireless technologies, and faster data transfer through the internet. This resulted in a confluence of information technology and artificial intelligence, allowing unstructured machine-generated data to be evaluated for insights that could lead to new developments. More and more industries are now referring to IoT to function more proficiently, provide better customer service, escalate the significance of their business, and implement robust decision-making. Machine learning for IoT can be used to identify anomalies, predict emerging trends, and expand intelligence through the consumption of audio, videos, and images. The implication of machine learning in IoT can substitute manual processes and offer automated systems using statistically backed up actions in critical processes. The benefits of IoT in AI and real life IoT offers the following benefits to AI applications: IoT data for business purposes Cost and time savings Task automation and reduction of human intervention Higher quality of life IoT data for business purposes IoT can also be viewed as a data pool. That means by aggregating IoT data, one can extract useful data-driven feedback, which in turn (used properly) may foster effective decision-making. Businesses can also identify new market opportunities, not because of IoT itself but by using the data IoT provides. And since IoT offers companies access to more data, and hence advanced analytics of that data, its usage can eventually result in improved customer outcomes and enhanced service delivery. Cost and time savings When devices get connected, cost reductions come along with it. The gathering of different data allows for advances in efficiency, and it leads to money surplus and low-cost materials. Task automation and reduction of human intervention Nowadays, devices that are internet-connected can be found in every aspect of our lives, and it is safe to say that they make tasks easier. These automation features range from real-time AI-powered chatbots to home automation control systems, and all of it usually takes a click of a button. For businesses offering AI-enabled solutions, similar advancements can be achieved with pipeline automation too. That includes significant cuts in annotation and QA time. By leveraging SuperAnnotate’s platform, hundreds of companies recorded faster task completion and more accuracy in prediction results. Higher quality of life IoT is not only beneficial in the business aspects but it also creates better living circumstances for us. Smart cities and agriculture, intelligent homes, and food waste solutions are some of the most common ways of IoT providing better, more sustainable living conditions for people. Challenges of IoT in AI Despite the numerous benefits and advancements that IoT brings to the table, there have been a few limitations with it. Some of them are listed below: Privacy issues Data overflow Bug issues Compatibility issues Privacy issues With the increased connection between multiple devices or their coexistence for model development purposes, more information is shared between them, which poses vulnerability to your data and makes room for caution. Added layers of protection are needed to prevent risks of data leaks and other threats. Data overflow Eventually, organizations will have to find a way to deal with the large numbers of IoT devices, and that will include the collection and systematic management of all the data from those IoT devices. The proper use of data lakes and warehouses, close governance, and intuitive arrangement of datasets will become an utmost priority. Join hundreds of leading companies who build super high-quality training data up to 5x faster using SuperAnnotate’s intuitive data curation and robust project management features. Bug issues If one IoT device has a bug in its system, there is a large chance that every other connected device will also have it. Compatibility issues Because there are no international standards of compatibility for IoT, it's harder for different devices to communicate with one another. Why implement machine learning in IoT More and more companies are combining IoT with machine learning projects so they can achieve analytical skills on a large variety of use cases which allows their businesses to have access to fresh insights and adopt innovative automation. By implementing machine learning for IoT, they can leverage the following: Convert data into a coherent format Arrange the machine learning model on device, edge, and cloud Enable use of data on edge devices directly for complex decision making IoT applications for AI Although we have covered the basics of IoT, its implications for AI are not as simple. Many corporations are adopting IoT which allows them to have an advanced approach to growing and advancing their business. Novel IoT applications are offering organizations the ability to plan and implement more vigorous risk management strategies. Some of the more common uses of IoT in AI encompass the following: Transport logistics Not only does IoT expand the material flow systems in transport logistics, but it also improves the automatic identification and global positioning of freight. It also increases energy efficiency and consequently declines the consumption of energy. Smart cities Although the term smart city is still incomplete, it mainly refers to an urban area that endorses sustainable enlargement and high quality of life. Giffinger et al.’s model explains the features of a smart city, including the people, the government, the economy, and lifestyle. E-health control The two main objectives of future health care are e-health control and prevention. People nowadays can choose to be monitored by physicians even if they do not live in the same country or place. Tracing and monitoring peoples’ health history makes IoT-assisted e-health extremely useful. IoT healthcare solutions could also benefit the specialists, as they can collect information to advance their medical calculations. Key takeaways Ever since its development, IoT, especially AI-enabled IoT, as discussed, has been enhancing our daily lives and directing us to work smarter while having complete control over the process. Besides having smart appliances to elevate homes, IoT devices can also be essential for providing insights and an actual look for businesses into their systems. Heading forward, IoT will continue to develop as more organizations get to understand its potential usage and tangible benefits.

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IoT Security

What are IoT devices and how are they used across various industries?

Article | October 11, 2023

Introduction We live in a world where technology is becoming more and more intertwined with our daily lives. It’s no longer just our laptops, smartphones, and tablets connected to the internet – now, our homes, cars, and even our clothes can be too. This interconnectedness is made possible by the internet of things (IoT), a network of physical objects equipped with sensors and software that allow them to collect and exchange data. IoT devices have the potential to transform the way we live and work. They can make our lives more convenient and help us be more efficient. IoT devices can also help us to save money and to improve the quality of our lives. IoT devices are devices that are connected to the internet and can collect, send, and receive data. They can be anything from fitness trackers to industrial machines. IoT devices are used across a variety of industries, and they are becoming more and more commonplace. At [x]cube LABS, we have helped global enterprises deliver great value to their consumers with IoT devices, and in this blog post, we will talk about how IoT devices are used in different industries. Additionally, we will give some examples of IoT devices that are being used in each industry. Healthcare IoT devices are being used in healthcare to provide better patient care and to improve the efficiency of healthcare organizations. IoT devices can be used to monitor patients’ vital signs, track their medication adherence, and collect data about their health. IoT devices can also be used to provide remote patient monitoring, track medical equipment, and support clinical research. There are many different types of IoT devices that are being used in healthcare. Some of the most common types of IoT devices that are being used in healthcare include wearable devices, such as fitness trackers and smartwatches; medical devices, such as pacemakers and insulin pumps; and hospital equipment, such as IV pumps and ventilators. All these devices collect data that can be used to improve patient care and make healthcare organizations more efficient. Manufacturing IoT devices are being used in manufacturing to improve the efficiency of production lines and to reduce the amount of waste. IoT devices can be used to track the production of products, monitor the condition of machinery, and control the flow of materials. IoT devices can also be used to provide data about the quality of products and to improve the safety of workers. One of the most common types of IoT devices that are being used in manufacturing is the industrial sensor. Industrial sensors are used to monitor the production of products, the condition of machinery, and the flow of materials. Industrial sensors can also be used to provide data about the quality of products and to improve the safety of workers. The availability of data from industrial sensors is helping manufacturers to improve the efficiency of production lines and to reduce the amount of waste. Retail IoT devices are being used in retail to improve the customer experience and increase sales. IoT devices can be used to track inventory, provide customer loyalty programs, and collect data about customer behavior. IoT devices can also be used to provide personalized recommendations, targeted promotions, and real-time customer support. IoT devices are changing the retail sector in a number of ways. One of the most important ways that IoT devices are changing retail is by providing retailers with real-time data about their customers’ behavior. This data allows retailers to provide a more personalized shopping experience. IoT devices are also being used to improve the efficiency of retail operations, such as inventory management and customer loyalty programs. Transportation IoT devices are being used in transportation to improve the safety of drivers and reduce traffic congestion. IoT devices can be used to monitor the condition of vehicles, track their location, and control their speed. IoT devices can also be used to provide data about traffic conditions and to improve the efficiency of transportation systems. One of the most common types of IoT devices that are being used in transportation is the GPS tracker. GPS trackers are used to monitor the location of vehicles, and they can be used to track the speed and movement of vehicles. GPS trackers can also be used to provide data about traffic conditions and to improve the efficiency of transportation systems. Agriculture Agriculture has become increasingly reliant on IoT devices in recent years. IoT devices are being used in agriculture to improve the yield of crops and to reduce the amount of water and fertilizer that is used. IoT devices can be utilized to monitor the condition of crops, track the location of farm animals, and control the flow of irrigation water. These innovations are helping farmers to increase the yield of their crops and to reduce the amount of water and fertilizer that is used. The data collected by IoT devices is also helping farmers to make more informed decisions about planting, irrigation, and crop maintenance. Smart Homes Smart homes are becoming increasingly popular, and IoT devices are the backbone of these systems. IoT devices are being used in homes to improve the security of the home, reduce energy consumption, and improve the quality of life. They can be used to monitor the condition of the home, track the location of family members, and control the operation of home appliances. What’s more, IoT devices can also provide data about the quality of the air, which can be used to improve the efficiency of home security systems. In the future, IoT devices will become an integral part of the smart home, and they will be used to control a wide variety of home appliances and systems. Aviation The aviation industry is making use of IoT devices to a great extent. The aviation sector is one of the most heavily regulated industries in the world, and IoT devices are being used to improve the safety of passengers and crew members. IoT is changing the aviation industry by providing data that can be used to improve the safety of pilots and passengers. IoT devices can be used to monitor the condition of aircraft, track their location, and control their speed. IoT devices can also be used to provide data about weather conditions and to improve the efficiency of aviation operations, which can ultimately lead to lower airfare prices. Energy The energy sector is also utilizing IoT for a variety of applications. One way that IoT is changing the energy sector is by providing data that can be used to improve the efficiency of energy production and consumption. They are being used to improve the efficiency of power generation and distribution. IoT devices can be used to monitor the condition of power plants, track the location of power lines, and control the flow of electricity. By using IoT devices to monitor and optimize the power grid, energy companies can reduce the amount of power that is wasted and ultimately lower energy bills for consumers. Conclusion IoT devices are changing the world in a number of ways. They are providing data that can be used to improve the efficiency of operations in a variety of industries, from retail to transportation to agriculture. It is likely that IoT devices will become an increasingly important part of our lives in the future due to the efficiency and data that they can provide.

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IoT Security

Top Challenges in IoT Data Governance in 2023

Article | July 5, 2023

Explore the emerging complexities of IoT data governance with 7 key challenges to tackle. Address data privacy, security, and ethical concerns, empowering your business for success in 2023 and beyond. Contents 1 The Case for Maintaining IoT Data Governance 2 Challenges of IoT Data Governance 2.1 Lack of Organizational Commitment 2.2 Data Privacy Concerns 2.3 Lack of Endpoint Security for IoT Devices 2.4 Issues with IoT Device Authentication 2.5 Increasing Volume of Unstructured Data 2.6 Unethical Use of IoT Data 2.7 Inadequate Data Governance Protocols 3 Addressing IoT Data Governance Challenges 3.1 Security by Design 3.2 Awareness Initiatives 3.3 Standardized Data Governance Policies 4 Conclusion 1 The Case for Maintaining IoT Data Governance The growing use of IoT devices across various industries has caused a surge in data volume. Most of these devices store sensitive company data, which plays a crucial role in business operations but can have dire consequences if it falls into the wrong hands. Thus, companies need to understand what is IoT governance and its implementation to safeguard sensitive data from unauthorized access and malicious exploitation. 2 Top Challenges in IoT Data Governance for Businesses 2.1 Lack of Organizational Commitment Organizational commitment is essential for effective IoT data governance. There needs to be a clear purpose and goals regarding data governance that are communicated to all stakeholders. Not focusing on organizational commitment can result in a lack of alignment between the organization's goals and the IoT data governance strategy, as well as uncertainty about ownership and accountability for data governance across the organization. 2.2 Data Privacy Concerns Ensuring data privacy is a significant concern when implementing IoT data management to maintain IoT data governance security. With the vast amount of data generated by IoT devices, there is an increased risk of personal and sensitive data being compromised. Therefore, it is crucial to identify potential vulnerabilities, mitigate the risk of data privacy breaches in IoT environments, and anonymize user data for consumer devices. 2.3 Lack of Endpoint Security for IoT Devices IoT devices are often designed with limited processing power and memory, and as such, many connected devices do not have built-in security features. This makes them attractive targets for hackers seeking to access confidential data or disrupt operations. Without proper endpoint security measures, IoT devices can be compromised, leading to data breaches, network downtime, and other security incidents that can compromise the entire system's integrity. 2.4 Issues with IoT Device Authentication When IoT devices are designed without proper authentication mechanisms, it can be challenging to verify their identities. This results in possible unauthorized access, data breaches, and other security incidents. To supplement IoT data management practices, companies must implement secure authentication protocols specifically designed for IoT environments, such as device certificates, digital signatures, and multi-factor authentication, to maintain IoT data governance. 2.5 Increasing Volume of Unstructured Data IoT devices generate vast amounts of data in various formats and structures, including text, images, audio, and video, which can be difficult to process, manage, and analyze. This data is often stored in different locations and formats, making it challenging to ensure quality and consistency. Moreover, this flood of unstructured data can contain sensitive information that must be protected to comply with regulations and standards. For effective IoT data governance, it is necessary to implement data classification, metadata management, and data quality management to make sense of unstructured data. 2.6 Unethical Use of IoT Data IoT devices collect data that can be sensitive and personal, and misuse can lead to various negative consequences. Data from IoT devices can be used to develop insights, but it must be handled carefully to avoid privacy violations, discrimination, or other negative consequences. Ensuring data ethics requires organizations to consider the potential impacts of their data collection and use practices on various stakeholders. This involves addressing issues such as data privacy, data ownership, transparency, and bias in IoT data analytics. 2.7 Inadequate Data Governance Protocols Without proper data governance protocols, IoT data may be inaccurate, incomplete, or difficult to access or analyze, reducing the effectiveness of IoT systems and limiting the potential benefits they can provide. Additionally, inadequate data governance protocols can lead to security and privacy vulnerabilities, potentially exposing sensitive data to unauthorized access or theft. This can result in legal and regulatory penalties, reputational damage, and a loss of customer trust. 3 Addressing IoT Data Governance Challenges 3.1 Security by Design This approach involves integrating security and governance considerations into the design and development of IoT systems from the outset. This helps minimize vulnerabilities, prevent breaches that may compromise the confidentiality, integrity, and availability of IoT data, and help maintain IoT data governance. In addition, by prioritizing security in the design phase, organizations can implement security controls and features tailored to their IoT systems' specific needs, which can help prevent unauthorized access, manipulation, or theft of IoT data. 3.2 Awareness Initiatives IoT data governance challenges can arise due to an improperly trained workforce that may not recognize the purpose and benefits of data governance practices. Awareness initiatives can help organizations develop a culture of security and privacy. These initiatives can educate employees and stakeholders about the risks and best practices associated with IoT data governance, including the importance of data security, privacy, and ethical considerations. By raising awareness of these issues, organizations can promote a culture of responsible data management, encourage stakeholders to adhere to data governance policies and procedures, and reduce the risk of human error or intentional misconduct that could compromise IoT data. 3.3 Standardized Data Governance Policies Collaboration between local, regional, and federal governments and businesses is essential to establishing frameworks for implementing IoT and related technologies within their jurisdictions. Cooperation between governments and enterprises is crucial for implementing a standardized IoT data governance policy. This will protect end-users by mandating basic standards in procurement processes and creating regulations and guidelines that promote responsible data governance. 4 IoT Data Governance: Future Outlook Data is one of the most valuable resources for organizations today, and addressing the problem of IoT data governance will ensure that the IoT of enterprises is used effectively and responsibly. Straits Research reported that the worldwide data governance market had a worth of USD 2.1 billion in 2021 and is projected to reach an estimated USD 11.68 billion by 2030. IoT devices are a key driving factor behind the growth of the data governance market, and as the amount of data generated and the number of devices grows, so will the complexity of data governance. By maintaining strong data governance policies and tracking changes in policies and best practices, businesses can ensure compliance and maintain trust in the long run.

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Four ways to ensure IoT success

Article | April 15, 2020

Three out of four IoT projects are considered a failure, according to Cisco. This is troubling but even more so when Cisco also found 61 per cent of companies say they believe they’ve barely begun to scratch the surface of IoT can do for their business? Businesses believe in the long-term value offered by integrating IoT into their business plan, however, they lack the knowledge of what is required to ensure the success of such a complex project. By studying past failed projects, technology leaders can gain a better understanding of why they failed and what they can do differently when evaluating and undertaking new IoT initiatives.

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Enterprise Iot

Securing Real-world IoT Applications through Penetration Testing

Article | July 20, 2023

Artificial intelligence (AI) has already made headway into becoming a general-purpose technology vastly impacting economies. Yet, the interpretation and estimated trajectory for something remotely close to what we call AI now was first explored in the 1950s. Until this very day, AI keeps on evolving further. Though let’s face it, AI would have been useless without data. With around 2.5 quintillion bytes of data being generated every day, the numbers will shoot up as the Internet of Things (IoT) enters the game. Let’s see what this is all about and where and how exactly IoT crosses paths with AI applications. IoT fundamentals: Where does IoT meet AI The benefits of IoT in AI Challenges of IoT in AI Why implement machine learning in IoT IoT applications for AI Key takeaways IoT fundamentals: Where does IoT meet AI? What is meant by the term internet of things (IoT) is essentially a system of correlated digital and mechanical appliances, computing devices, and sensors embedded often into everyday objects that transfer data over a network. IoT connects the internet to any and every physical thing or place in the world. Modern IoT has advanced from the mere merging of microelectromechanical systems to wireless technologies, and faster data transfer through the internet. This resulted in a confluence of information technology and artificial intelligence, allowing unstructured machine-generated data to be evaluated for insights that could lead to new developments. More and more industries are now referring to IoT to function more proficiently, provide better customer service, escalate the significance of their business, and implement robust decision-making. Machine learning for IoT can be used to identify anomalies, predict emerging trends, and expand intelligence through the consumption of audio, videos, and images. The implication of machine learning in IoT can substitute manual processes and offer automated systems using statistically backed up actions in critical processes. The benefits of IoT in AI and real life IoT offers the following benefits to AI applications: IoT data for business purposes Cost and time savings Task automation and reduction of human intervention Higher quality of life IoT data for business purposes IoT can also be viewed as a data pool. That means by aggregating IoT data, one can extract useful data-driven feedback, which in turn (used properly) may foster effective decision-making. Businesses can also identify new market opportunities, not because of IoT itself but by using the data IoT provides. And since IoT offers companies access to more data, and hence advanced analytics of that data, its usage can eventually result in improved customer outcomes and enhanced service delivery. Cost and time savings When devices get connected, cost reductions come along with it. The gathering of different data allows for advances in efficiency, and it leads to money surplus and low-cost materials. Task automation and reduction of human intervention Nowadays, devices that are internet-connected can be found in every aspect of our lives, and it is safe to say that they make tasks easier. These automation features range from real-time AI-powered chatbots to home automation control systems, and all of it usually takes a click of a button. For businesses offering AI-enabled solutions, similar advancements can be achieved with pipeline automation too. That includes significant cuts in annotation and QA time. By leveraging SuperAnnotate’s platform, hundreds of companies recorded faster task completion and more accuracy in prediction results. Higher quality of life IoT is not only beneficial in the business aspects but it also creates better living circumstances for us. Smart cities and agriculture, intelligent homes, and food waste solutions are some of the most common ways of IoT providing better, more sustainable living conditions for people. Challenges of IoT in AI Despite the numerous benefits and advancements that IoT brings to the table, there have been a few limitations with it. Some of them are listed below: Privacy issues Data overflow Bug issues Compatibility issues Privacy issues With the increased connection between multiple devices or their coexistence for model development purposes, more information is shared between them, which poses vulnerability to your data and makes room for caution. Added layers of protection are needed to prevent risks of data leaks and other threats. Data overflow Eventually, organizations will have to find a way to deal with the large numbers of IoT devices, and that will include the collection and systematic management of all the data from those IoT devices. The proper use of data lakes and warehouses, close governance, and intuitive arrangement of datasets will become an utmost priority. Join hundreds of leading companies who build super high-quality training data up to 5x faster using SuperAnnotate’s intuitive data curation and robust project management features. Bug issues If one IoT device has a bug in its system, there is a large chance that every other connected device will also have it. Compatibility issues Because there are no international standards of compatibility for IoT, it's harder for different devices to communicate with one another. Why implement machine learning in IoT More and more companies are combining IoT with machine learning projects so they can achieve analytical skills on a large variety of use cases which allows their businesses to have access to fresh insights and adopt innovative automation. By implementing machine learning for IoT, they can leverage the following: Convert data into a coherent format Arrange the machine learning model on device, edge, and cloud Enable use of data on edge devices directly for complex decision making IoT applications for AI Although we have covered the basics of IoT, its implications for AI are not as simple. Many corporations are adopting IoT which allows them to have an advanced approach to growing and advancing their business. Novel IoT applications are offering organizations the ability to plan and implement more vigorous risk management strategies. Some of the more common uses of IoT in AI encompass the following: Transport logistics Not only does IoT expand the material flow systems in transport logistics, but it also improves the automatic identification and global positioning of freight. It also increases energy efficiency and consequently declines the consumption of energy. Smart cities Although the term smart city is still incomplete, it mainly refers to an urban area that endorses sustainable enlargement and high quality of life. Giffinger et al.’s model explains the features of a smart city, including the people, the government, the economy, and lifestyle. E-health control The two main objectives of future health care are e-health control and prevention. People nowadays can choose to be monitored by physicians even if they do not live in the same country or place. Tracing and monitoring peoples’ health history makes IoT-assisted e-health extremely useful. IoT healthcare solutions could also benefit the specialists, as they can collect information to advance their medical calculations. Key takeaways Ever since its development, IoT, especially AI-enabled IoT, as discussed, has been enhancing our daily lives and directing us to work smarter while having complete control over the process. Besides having smart appliances to elevate homes, IoT devices can also be essential for providing insights and an actual look for businesses into their systems. Heading forward, IoT will continue to develop as more organizations get to understand its potential usage and tangible benefits.

Read More
IoT Security

Top Technologies in IoT Network Security for Network Resilience

Article | October 11, 2023

Introduction We live in a world where technology is becoming more and more intertwined with our daily lives. It’s no longer just our laptops, smartphones, and tablets connected to the internet – now, our homes, cars, and even our clothes can be too. This interconnectedness is made possible by the internet of things (IoT), a network of physical objects equipped with sensors and software that allow them to collect and exchange data. IoT devices have the potential to transform the way we live and work. They can make our lives more convenient and help us be more efficient. IoT devices can also help us to save money and to improve the quality of our lives. IoT devices are devices that are connected to the internet and can collect, send, and receive data. They can be anything from fitness trackers to industrial machines. IoT devices are used across a variety of industries, and they are becoming more and more commonplace. At [x]cube LABS, we have helped global enterprises deliver great value to their consumers with IoT devices, and in this blog post, we will talk about how IoT devices are used in different industries. Additionally, we will give some examples of IoT devices that are being used in each industry. Healthcare IoT devices are being used in healthcare to provide better patient care and to improve the efficiency of healthcare organizations. IoT devices can be used to monitor patients’ vital signs, track their medication adherence, and collect data about their health. IoT devices can also be used to provide remote patient monitoring, track medical equipment, and support clinical research. There are many different types of IoT devices that are being used in healthcare. Some of the most common types of IoT devices that are being used in healthcare include wearable devices, such as fitness trackers and smartwatches; medical devices, such as pacemakers and insulin pumps; and hospital equipment, such as IV pumps and ventilators. All these devices collect data that can be used to improve patient care and make healthcare organizations more efficient. Manufacturing IoT devices are being used in manufacturing to improve the efficiency of production lines and to reduce the amount of waste. IoT devices can be used to track the production of products, monitor the condition of machinery, and control the flow of materials. IoT devices can also be used to provide data about the quality of products and to improve the safety of workers. One of the most common types of IoT devices that are being used in manufacturing is the industrial sensor. Industrial sensors are used to monitor the production of products, the condition of machinery, and the flow of materials. Industrial sensors can also be used to provide data about the quality of products and to improve the safety of workers. The availability of data from industrial sensors is helping manufacturers to improve the efficiency of production lines and to reduce the amount of waste. Retail IoT devices are being used in retail to improve the customer experience and increase sales. IoT devices can be used to track inventory, provide customer loyalty programs, and collect data about customer behavior. IoT devices can also be used to provide personalized recommendations, targeted promotions, and real-time customer support. IoT devices are changing the retail sector in a number of ways. One of the most important ways that IoT devices are changing retail is by providing retailers with real-time data about their customers’ behavior. This data allows retailers to provide a more personalized shopping experience. IoT devices are also being used to improve the efficiency of retail operations, such as inventory management and customer loyalty programs. Transportation IoT devices are being used in transportation to improve the safety of drivers and reduce traffic congestion. IoT devices can be used to monitor the condition of vehicles, track their location, and control their speed. IoT devices can also be used to provide data about traffic conditions and to improve the efficiency of transportation systems. One of the most common types of IoT devices that are being used in transportation is the GPS tracker. GPS trackers are used to monitor the location of vehicles, and they can be used to track the speed and movement of vehicles. GPS trackers can also be used to provide data about traffic conditions and to improve the efficiency of transportation systems. Agriculture Agriculture has become increasingly reliant on IoT devices in recent years. IoT devices are being used in agriculture to improve the yield of crops and to reduce the amount of water and fertilizer that is used. IoT devices can be utilized to monitor the condition of crops, track the location of farm animals, and control the flow of irrigation water. These innovations are helping farmers to increase the yield of their crops and to reduce the amount of water and fertilizer that is used. The data collected by IoT devices is also helping farmers to make more informed decisions about planting, irrigation, and crop maintenance. Smart Homes Smart homes are becoming increasingly popular, and IoT devices are the backbone of these systems. IoT devices are being used in homes to improve the security of the home, reduce energy consumption, and improve the quality of life. They can be used to monitor the condition of the home, track the location of family members, and control the operation of home appliances. What’s more, IoT devices can also provide data about the quality of the air, which can be used to improve the efficiency of home security systems. In the future, IoT devices will become an integral part of the smart home, and they will be used to control a wide variety of home appliances and systems. Aviation The aviation industry is making use of IoT devices to a great extent. The aviation sector is one of the most heavily regulated industries in the world, and IoT devices are being used to improve the safety of passengers and crew members. IoT is changing the aviation industry by providing data that can be used to improve the safety of pilots and passengers. IoT devices can be used to monitor the condition of aircraft, track their location, and control their speed. IoT devices can also be used to provide data about weather conditions and to improve the efficiency of aviation operations, which can ultimately lead to lower airfare prices. Energy The energy sector is also utilizing IoT for a variety of applications. One way that IoT is changing the energy sector is by providing data that can be used to improve the efficiency of energy production and consumption. They are being used to improve the efficiency of power generation and distribution. IoT devices can be used to monitor the condition of power plants, track the location of power lines, and control the flow of electricity. By using IoT devices to monitor and optimize the power grid, energy companies can reduce the amount of power that is wasted and ultimately lower energy bills for consumers. Conclusion IoT devices are changing the world in a number of ways. They are providing data that can be used to improve the efficiency of operations in a variety of industries, from retail to transportation to agriculture. It is likely that IoT devices will become an increasingly important part of our lives in the future due to the efficiency and data that they can provide.

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IoT Security

Overcoming IoT Security Challenges for Safe Implementation

Article | July 5, 2023

Explore the emerging complexities of IoT data governance with 7 key challenges to tackle. Address data privacy, security, and ethical concerns, empowering your business for success in 2023 and beyond. Contents 1 The Case for Maintaining IoT Data Governance 2 Challenges of IoT Data Governance 2.1 Lack of Organizational Commitment 2.2 Data Privacy Concerns 2.3 Lack of Endpoint Security for IoT Devices 2.4 Issues with IoT Device Authentication 2.5 Increasing Volume of Unstructured Data 2.6 Unethical Use of IoT Data 2.7 Inadequate Data Governance Protocols 3 Addressing IoT Data Governance Challenges 3.1 Security by Design 3.2 Awareness Initiatives 3.3 Standardized Data Governance Policies 4 Conclusion 1 The Case for Maintaining IoT Data Governance The growing use of IoT devices across various industries has caused a surge in data volume. Most of these devices store sensitive company data, which plays a crucial role in business operations but can have dire consequences if it falls into the wrong hands. Thus, companies need to understand what is IoT governance and its implementation to safeguard sensitive data from unauthorized access and malicious exploitation. 2 Top Challenges in IoT Data Governance for Businesses 2.1 Lack of Organizational Commitment Organizational commitment is essential for effective IoT data governance. There needs to be a clear purpose and goals regarding data governance that are communicated to all stakeholders. Not focusing on organizational commitment can result in a lack of alignment between the organization's goals and the IoT data governance strategy, as well as uncertainty about ownership and accountability for data governance across the organization. 2.2 Data Privacy Concerns Ensuring data privacy is a significant concern when implementing IoT data management to maintain IoT data governance security. With the vast amount of data generated by IoT devices, there is an increased risk of personal and sensitive data being compromised. Therefore, it is crucial to identify potential vulnerabilities, mitigate the risk of data privacy breaches in IoT environments, and anonymize user data for consumer devices. 2.3 Lack of Endpoint Security for IoT Devices IoT devices are often designed with limited processing power and memory, and as such, many connected devices do not have built-in security features. This makes them attractive targets for hackers seeking to access confidential data or disrupt operations. Without proper endpoint security measures, IoT devices can be compromised, leading to data breaches, network downtime, and other security incidents that can compromise the entire system's integrity. 2.4 Issues with IoT Device Authentication When IoT devices are designed without proper authentication mechanisms, it can be challenging to verify their identities. This results in possible unauthorized access, data breaches, and other security incidents. To supplement IoT data management practices, companies must implement secure authentication protocols specifically designed for IoT environments, such as device certificates, digital signatures, and multi-factor authentication, to maintain IoT data governance. 2.5 Increasing Volume of Unstructured Data IoT devices generate vast amounts of data in various formats and structures, including text, images, audio, and video, which can be difficult to process, manage, and analyze. This data is often stored in different locations and formats, making it challenging to ensure quality and consistency. Moreover, this flood of unstructured data can contain sensitive information that must be protected to comply with regulations and standards. For effective IoT data governance, it is necessary to implement data classification, metadata management, and data quality management to make sense of unstructured data. 2.6 Unethical Use of IoT Data IoT devices collect data that can be sensitive and personal, and misuse can lead to various negative consequences. Data from IoT devices can be used to develop insights, but it must be handled carefully to avoid privacy violations, discrimination, or other negative consequences. Ensuring data ethics requires organizations to consider the potential impacts of their data collection and use practices on various stakeholders. This involves addressing issues such as data privacy, data ownership, transparency, and bias in IoT data analytics. 2.7 Inadequate Data Governance Protocols Without proper data governance protocols, IoT data may be inaccurate, incomplete, or difficult to access or analyze, reducing the effectiveness of IoT systems and limiting the potential benefits they can provide. Additionally, inadequate data governance protocols can lead to security and privacy vulnerabilities, potentially exposing sensitive data to unauthorized access or theft. This can result in legal and regulatory penalties, reputational damage, and a loss of customer trust. 3 Addressing IoT Data Governance Challenges 3.1 Security by Design This approach involves integrating security and governance considerations into the design and development of IoT systems from the outset. This helps minimize vulnerabilities, prevent breaches that may compromise the confidentiality, integrity, and availability of IoT data, and help maintain IoT data governance. In addition, by prioritizing security in the design phase, organizations can implement security controls and features tailored to their IoT systems' specific needs, which can help prevent unauthorized access, manipulation, or theft of IoT data. 3.2 Awareness Initiatives IoT data governance challenges can arise due to an improperly trained workforce that may not recognize the purpose and benefits of data governance practices. Awareness initiatives can help organizations develop a culture of security and privacy. These initiatives can educate employees and stakeholders about the risks and best practices associated with IoT data governance, including the importance of data security, privacy, and ethical considerations. By raising awareness of these issues, organizations can promote a culture of responsible data management, encourage stakeholders to adhere to data governance policies and procedures, and reduce the risk of human error or intentional misconduct that could compromise IoT data. 3.3 Standardized Data Governance Policies Collaboration between local, regional, and federal governments and businesses is essential to establishing frameworks for implementing IoT and related technologies within their jurisdictions. Cooperation between governments and enterprises is crucial for implementing a standardized IoT data governance policy. This will protect end-users by mandating basic standards in procurement processes and creating regulations and guidelines that promote responsible data governance. 4 IoT Data Governance: Future Outlook Data is one of the most valuable resources for organizations today, and addressing the problem of IoT data governance will ensure that the IoT of enterprises is used effectively and responsibly. Straits Research reported that the worldwide data governance market had a worth of USD 2.1 billion in 2021 and is projected to reach an estimated USD 11.68 billion by 2030. IoT devices are a key driving factor behind the growth of the data governance market, and as the amount of data generated and the number of devices grows, so will the complexity of data governance. By maintaining strong data governance policies and tracking changes in policies and best practices, businesses can ensure compliance and maintain trust in the long run.

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Four ways to ensure IoT success

Article | April 15, 2020

Three out of four IoT projects are considered a failure, according to Cisco. This is troubling but even more so when Cisco also found 61 per cent of companies say they believe they’ve barely begun to scratch the surface of IoT can do for their business? Businesses believe in the long-term value offered by integrating IoT into their business plan, however, they lack the knowledge of what is required to ensure the success of such a complex project. By studying past failed projects, technology leaders can gain a better understanding of why they failed and what they can do differently when evaluating and undertaking new IoT initiatives.

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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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