Impact of AIoT on the Security of Devices, Systems, and Facilities

The Internet of Things (IoT) is a technology that has been actively developed for the last several decades. There are already a lot of widely adopted IoT use cases (like smart home systems) that help to facilitate numerous tasks for thousands of users all over the world.

But this technology still has a row of limitations that are mainly related to the security of IoT devices and transmitted data. Such issues can be caused by different reasons: from poor testing, code vulnerabilities, and the lack of the possibility to monitor the devices to weak passwords introduced by end-users.

Of course, to avoid a lot of security problems, first of all, you need to work with professional developers who have a deep understanding of how to protect IoT-powered systems. For example, IoT experts at Cogniteq and a row of other prominent software development companies can be a good option for those who want to get a reliable solution. 

Nevertheless, just relying on a good team may not be enough. It’s also worth thinking about various tech tools for ensuring the desired level of IoT security. 

And in this case, the symbiosis of capacities of IoT and Artificial Intelligence (AI), also known as AIoT (Artificial Intelligence of Things), can become a real game-changer.

What is AIoT?

As you can guess, the abbreviation “AIoT”  is nothing more than a combination of “AI” and “IoT”. These two technologies can excellently complement each other as each of them helps to fully open the potential of the other one. 

In 2022, the Artificial Intelligence of Things market was valued at $9 billion. And as experts predict that it will expand at a CAGR of around 25% from 2023 to 2032, by the end of this period it may reach $25 billion.

With IoT, AI apps can get access to huge volumes of real-time information received from various devices. And thanks to AI, IoT devices can not only collect but also efficiently process and analyze data. This information can be further used for simulating smart behavior, including but not limited to making various autonomous decisions like turning on the lightning or increasing the temperature of the heater.

But that’s definitely not the end of all the new possibilities that the Internet of Things gets with the integration of AI tools. The duo of AI and IoT can also address the mentioned security problems of IoT solutions. And there are a couple of ways to deal with them.

Enhanced analysis and visibility

Artificial Intelligence brings better analytics capabilities to any IoT system. Thanks to its ability to work with huge data sets and do it very quickly, developers can enhance the quality of data monitoring and management demonstrated by IoT devices. With the integration of ML and AI technologies, companies will be sure that their IoT devices will execute continuous monitoring and environment/situation analysis in real time. Moreover, in case of any threats or unpredictable events, IoT systems will be able to make decisions practically without any interference from the side of the employees.

Improved data security

AI can be implemented by development teams for building highly effective IoT cybersecurity apps. Such applications will be powered by such AI technologies as linear regression, decision trees, and neural networks. As a result, high-quality detection and instant elimination of threats will be ensured.

Better access control

You can enhance the reliability of access control with smart locks and AIoT will help you to achieve even better results. It’s also important to highlight that such solutions can be of great use in absolutely different industries. For example, various institutions that work with secret materials or banks can install AIoT devices that will restrict access to the chosen vaults or rooms based on biometric data.

Safety at workplaces

High safety at workplaces, especially when we are talking about manufacturing facilities, can be achieved with the help of smart factory robots. Such robots typically have implanted sensors that are required for data exchange facilitation. First of all, robots can streamline a lot of processes and help you to optimize operating costs. But they also bring you a wide range of other benefits. By replacing some employees with robots and automating operations, you can also minimize the risk of human errors and the number of injuries.

More advanced self-driving vehicles

Today the questions about the safety of self-driving vehicles are quite disputable. Nevertheless, AIoT can make such vehicles significantly safer. AI-powered systems can analyze road conditions and weather with a view to adjusting speed and the style of driving in accordance with them. 

Conclusion

The combination of AI and IoT can become a great solution for numerous enterprise systems and software products. By getting real-time data and having the possibility to instantly process and analyze it, you can not only faster react to all situations but also enjoy the benefits of the decisions made autonomously by the AIoT system without your participation.