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The Role of AI in Securing the IoT Landscape

February 15, 2023

The Internet of Things (IoT) and artificial intelligence (AI) are quickly turning into a dynamic duo. Two hot topics in the technology industry right now, IoT and AI combined are being coined AIoT (artificial intelligence of things) to signify how artificial intelligence is partnering with IoT to take both technologies farther together than alone. Combined, these two superpowers can improve efficiencies, enhance data management, and pump up the cybersecurity quotient.

Where AI and IoT Intersect

The “thing” in Internet of Things refers to a piece of technology or computing device that captures data based on a unique identifier, which is assigned to a person, animal or object. This data is then transferred via the internet, communicating nearly anything from an issue with a car’s engine to the regulated beats of a heart monitor.

These sensors can handle massive amounts of data, streaming through the internet at lightning-fast speed. But all that data is only valuable when it’s analyzed and used to make informed decisions, which is where AI comes in.

When meaningful insights are gleaned from the data, and machine learning takes place, IoT devices become little powerhouses of valuable information. Using AI, data patterns can be detected, creating greater operational efficiencies. Points of failure can be identified, allowing systems to make changes on the fly. But all this connectivity and data comes with a potential security issue

Triple Threat: AI, IoT and Cybersecurity

As more and more IoT sensors and devices connect to the internet, cyberattacks are bound to increase. The number of connected devices is anticipated to grow dramatically, reaching more than 29 billion by 2030. And the amount of data that each one transmits will grow exponentially as well.

With the help of AIoT, cybersecurity can move into the next generation. When devices are connected to the internet, and machine learning takes place, cybersecurity can evolve, detecting intrusions, new bits of illicit software, and unauthorized access to highly secure sectors. When algorithms are built to track behaviors, predictions can be made around new cyberattacks, allowing businesses to react faster when a breach does occur. And the same holds true for IoT devices.

AI can not only analyze and interpret the data produced by IoT devices, but it can also aid in the detection of suspicious activity. Cyber threats are detected in real-time. IoT manufacturers can act swiftly. And cybersecurity as a whole is more reactive.

The key now will be not in the detection, but in the response plan, and how quickly CISOs can put that plan in place. Even with the tremendous amount of predictive intelligence that AI affords us, all systems will still reside in the hands of those who run them.

ProcessBolt: AI-Driven and Built for Speed

Improve efficiency and reduce risk with ProcessBolt’s AI-driven vendor risk management platform. Our ThreatScape component automatically monitors your entire attack surface and warns you instantly of any unauthorized access. Sign up for a demo and see how we can help transform the tedious VRM process using artificial intelligence.

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