Industrial IoT, IoT Security
Article | July 12, 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 Security
Article | June 28, 2023
The COVID-19 pandemic turned the tides towards remote work and virtual connectivity. And even though growth seemed to have slowed down in 2020, experts see double-digit growth in the next few years. The tides may be turning but virtual connectivity and the tools required for remote growth are not slowing down in demand. As the tech world adapts to new shifts, IoT is among one of the most anticipated technologies to prosper in 2021.
Digital transformation has rapidly accelerated in the past year and if the experts are to be believed, 2021 shows promise for an even better year for technological advancement. According to IDC’s 2020-2024 forecast, spending will reach an annual growth rate of 11.3 percent. And with this, the number of connected devices is likely to grow up. Take a look at what will be the focus of IoT industry trends in 2021.
Privacy & Security
As smart homes are becoming the norm and you cannot throw a stone without hitting a smart device, one thing is clear—IoT devices are everywhere. People almost always forget smartphones when talking about IoT devices, but the fact is that smartphones are very much a part of the IoT ecosystem. And with the infusion of IoT in our everyday lives, questions about privacy and security are cropping up.
Just recently, as WhatsApp announced its new privacy policy, millions of users planned to migrate to other alternatives. This led to WhatsApp pushing back its privacy update and tech businesses taking note of changing winds.
In 2021, privacy and security will be at the forefront of IoT industry trends, as devices infuse further into the everyday lives of people. According to recent research, 90 percent of consumers lack confidence in IoT device security. And the onus of bolstering consumer confidence will be up to IoT businesses.
Workforce Management
According to Gartner’s “Top Strategic Technology Trends For 2021” report, IoT will be a large part of the office experience in 2021. As businesses are trying to avoid the losses that occurred in early 2020, workplaces are being geared up with RFID tags, sensors, and monitors to ensure social distancing measures, whether employees are wearing masks and overall health monitoring.
Additionally, many organizations have decided to move permanently to a remote mode and will rely more on IoT devices for connectivity. So we can expect better automated scheduling and calendar tools, more interactive video conferencing, and virtual meeting technology. In the case of fieldwork, IoT will offer an added factor of monitoring behavior.
Greener IoT
Experts predict that energy will be a crucial factor in the IoT industry trends in 2021. With smart grids, metering, and restoration resilience being powered by IoT, 2021 will move towards optimized energy consumption and devices that are designed to encourage energy-friendly practices.
What’s more? Smart engines and automobiles can be optimized to reduce their carbon footprint and become energy-friendly. As evidenced by the Paris summit and the wildfires in 2020, the world is becoming ecologically conscious. IoT devices in 2021 will focus heavily on reduced emissions, lowering air and ocean pollution, and minimizing power expenditure.
Location Data
As COVID-19 limited human interaction, location-based services soared during the pandemic. Businesses started leveraging location data to offer curbside pickup, virtual queues, and check-ins for reservations to enhance the customer experience during the pandemic.
According to experts, the use of location data will continue to be crucial for customer service and convenience in 2021. As people prefer being safe even as the vaccines are being delivered, location data will allow businesses to cater to their customers without compromising on customer or employee safety.
Digital twins
IoT is being helmed as the perfect technology partner for creating digital twins in many industries. As IoT collects a large amount of data through physical devices, this data can be reinterpreted to create the perfect digital twins. Also, IoT can offer visibility into the full product life cycle and unfold deeper operational intelligence. Companies like Siemens are already leveraging technologies like AIoT to design and create digital twins for product design and production. Coupled with AI, IoT will be used more commonly for creating digital twins in 2021.
A technology as dynamic as IoT can be leveraged for almost any application. Therefore, it may surprise us all in the way it progresses in 2021. However, experts believe that the above 5 IoT industry trends will rule 2021 for sure.
Frequently Asked Questions
What are the latest IoT industry trends?
The use of IoT in Healthcare, Artificial Intelligence, workforce management, and ecological conservation can be deemed as some of the latest trends in IoT.
What is the future scope of IoT?
As experts believe there will be over 85 billion connected devices by the end of 2021, and the numbers are promising for upcoming years, we can safely say that the future of IoT is indeed bright.
What industries are most likely to use the Internet of things technology?
IoT is a dynamic technology with applications in almost every industry. However, industries like healthcare, construction, manufacturing, tech, and resource management are most like to use IoT right now.
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Enterprise Iot
Article | May 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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Industrial IoT, IoT Security
Article | July 11, 2023
Explore the IoT tools for security and maintenance. These IoT monitoring tools addresses cyber security and privacy issues, catering to a various users including industrialists & individuals.
With the proliferation of interconnected devices in the Internet of Things ecosystem, ensuring robust security measures has become crucial to protect against cyber threats. The complexity and diversity of IoT systems pose unique challenges, making thorough security testing an essential practice. To address these challenges, various IoT development tools have emerged that enable organizations to assess and mitigate vulnerabilities in their IoT deployments. In this article, explore the top ten tools to secure IoT and IoT testing, equipping professionals and organizations with the means to identify and address potential security weaknesses, thus bolstering the overall security posture of their IoT infrastructure.
1. AWS IoT Device Defender
AWS IoT Device Defender is one of the security IoT management tools, designed to protect and manage IoT devices and fleets. Its auditing capabilities and continuous monitoring enable users to assess their IoT resources' security posture, identify vulnerabilities, and address potential gaps. By leveraging machine learning models or defining custom device behaviors, it can monitor and detect malicious activities, such as traffic from suspicious IP addresses or unusual connection attempts. The tool provides security alerts for failed audits or behavior anomalies, allowing users to mitigate potential risks quickly. Built-in actions facilitate security issue resolution, including device certificate updates, quarantine, and policy replacements. AWS IoT Device Defender offers automation for security assessments, identification of attack vectors, analysis of historical device behavior, and alarm notifications through various AWS interfaces.
2. Dynamic Application Security Testing
Appknox offers two robust mobile application security solutions: Automated Dynamic Application Security Testing (DAST) and Penetration Testing (PT). With Automated DAST, users can assess the security of their mobile apps in real time while running in their operational environment. The solution provides access to real devices, allowing users to replicate real-life interactions and identify security vulnerabilities. On the other hand, Appknox's Penetration Testing solution delivers reliable and thorough security assessments by expert security researchers. Users can request a manual pentest effortlessly, and the skilled team analyzes apps to identify and eliminate potential threats. The process includes identifying the tech stack, analyzing the threat landscape, setting up breakpoints, testing responses, detecting bugs, and performing advanced threat exploits.
3. Enterprise IoT Security
Enterprise IoT Security is a comprehensive Zero Trust solution designed to address IoT devices' security challenges in modern enterprises. It helps eliminate implicit trust and enforces zero-trust principles through least privilege access, continuous trust verification, and continuous security inspection. With this solution, organizations can quickly discover and assess every IoT device, easily segment and enforce the least privileged access, and protect against known and unknown threats. By simplifying operations, Enterprise IoT Security enables faster deployment, with a 15-time faster deployment than other solutions. The solution offers better and faster protection for IoT devices, delivering 70 times more security efficiency and 20 times speedier policy creation.
4. Azure Sphere
Azure Sphere is a secure IoT platform offered by Microsoft that allows businesses to create, connect, and maintain intelligent IoT devices. It provides end-to-end security, from the silicon level to the operating system (OS) to the cloud. With Azure Sphere, organizations can securely connect, manage, and protect existing and new IoT devices. The platform offers over-the-air updates, integration with IoT platform services, and continuous security improvements. It helps businesses deploy real-time security patches, maintain device operations, and accelerate time to market. Azure Sphere incorporates essential security properties and offers comprehensive security and compliance.
5. Microsoft Defender for IoT
Microsoft Defender for IoT is a comprehensive security solution that provides real-time asset discovery, vulnerability management, and threat protection for the Internet of Things and industrial infrastructure, including ICS/OT environments. It offers context-aware visibility into IoT and OT assets, enabling organizations to manage their security posture and reduce attack surfaces based on risk prioritization. With behavioral analytics, it detects and responds to attacks across IT and OT networks. Integrated with SIEM/SOAR and XDR tools, it delivers unified security and leverages threat intelligence for automatic response. Microsoft Defender for IoT is designed to meet the unique security needs of various industries and supports complete endpoint protection when combined with Defender for Endpoint.
6. IoT Security
Forescout offers an IoT security solution that automates security measures and provides visibility for every device connected to the network. Their zero-trust approach ensures complete device visibility, proactive network segmentation, and least-privilege access control for IoT, OT, IoMT, and IT devices. The platform classifies and monitors devices in real time, identifies weak credentials, and enforces strong passwords. It also enables dynamic network segmentation and automates zero trust policy orchestration across multi-vendor environments. Forescout's solution efficiently manages asset inventory and device lifecycle and has been proven to scale for enterprise-level deployments.
7. ThingSpace
The ThingSpace Platform for IoT offers a comprehensive set of iot tools and devices for developing and managing the lifecycle of IoT devices. It enables connectivity management at scale, allowing secure activation on the Verizon network and providing features to troubleshoot, locate, and manage IoT devices. Whether at the prototype stage or ready to scale for enterprise-level deployment, ThingSpace provides the necessary resources for IoT solution development and management. As a Magic Quadrant Leader for IoT Connectivity Services, ThingSpace offers solutions for software management, device readiness, and overall device lifecycle management. Businesses can collaborate with technology leaders through their Executive Briefing Program to achieve their specific goals and gain a competitive edge.
8. Verimatrix
The Verimatrix Secure Delivery Platform offers a unified user experience by combining cybersecurity and anti-piracy services into a comprehensive cloud ecosystem. It provides media companies, content owners, streaming providers, and broadcast operators with a single pane of glass experience for securing content, applications, and devices. Key offerings include Streamkeeper Multi-DRM for cloud-based digital rights management, Verimatrix App Shield for zero code hardening of mobile applications, Verimatrix Video Content Authority System (VCAS) for real-time monitoring, and Streamkeeper Counterspy for cybersecurity and anti-piracy solutions. The platform also facilitates partner integrations, enabling seamless onboarding and revenue preservation.
9. Trustwave
Trustwave's Managed IoT Security provides comprehensive solutions to secure the Internet of Things (IoT) and minimize the risk of compromise. With expertise from Trustwave SpiderLabs, it offers knowledge about network assets, identifies weaknesses in applications, servers, APIs, and cloud clusters, and enables secure IoT deployment with quick validation of fixes. This reduces the risk of compromised devices, which can lead to various threats, including DoS attacks, privacy violations, and data theft. Trustwave's services cater to IoT developers/manufacturers, offering product security reviews, testing, and incident readiness services. For IoT implementers, it provides managed security services and testing to safeguard deployments and associated data.
10. ARMIS Agentless Device Security Platform
The ARMIS Agentless Device Security Platform supports implementing the Critical Security Controls(CIS) framework. Developed by the Center for Internet Security (CIS), these controls are periodically updated by a global community of experts. ARMIS aligns with the CIS Controls and provides a comprehensive set of security controls to address the framework's requirements. The platform caters to enterprises of all sizes and offers different implementation groups based on risk profile and available resources. With ARMIS, organizations can enhance their cybersecurity posture and implement the CIS Controls effectively.
Final Thoughts
Security is a major concern in IoT tools and software due to the proliferation of connected devices, the diverse and complex nature of IoT ecosystems, the need to protect data privacy and confidentiality, the lack of standardization, the long lifecycles of devices, and the distributed and scalable nature of IoT deployments. Addressing these concerns is crucial to prevent unauthorized access, data breaches, and ensure the integrity and privacy of IoT data.
The IoT tools and technologies discussed in this article represent some of the top options for conducting comprehensive IoT security testing. By leveraging these tools, professionals and organizations can proactively identify and address vulnerabilities in their IoT systems, ensuring their data and devices' confidentiality, integrity, and availability. By incorporating these tools into their security practices, organizations can bolster their IoT security strategy and enhance their ability to protect against emerging threats in the dynamic IoT landscape.
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