While IoT device adoption has been growing among the general public, security issues have also come up often, and experts believe AI may be the answer to secure the increasingly complex IoT devices.
Today 52% of consumers are using IoT devices, yet 64% of those have already encountered performance issues, according to software intelligence company Dynatrace, which surveyed some 10,000 consumers from UK, USA, France, Germany, Australia, Brazil, Singapore and China.
Dave Anderson, Global VP Marketing at Dynatrace, said, “Consumers are already reporting problems with everything from medical applications, smart meters, car door locks and virtual personal assistants, to smart thermostats and fridges. Their patience is at an all-time low and they simply won’t tolerate a poor experience.”
The performance failures consumers are experiencing with everyday technology are making people wary of uses of IoT. While industry players boast IoT’s applications in home, healthcare, transportation, etc., consumers have indicated doubts on the technology’s reliability.
Up to 85% of the respondents said they are concerned that self-driving cars will malfunction; 62% of consumers stated they would not trust IoT devices to administer medication; and 83% of consumers are concerned about losing control of their smart home due to digital glitches.
The Complexity of IoT
The difficulty in securing IoT devices lies in technological complexity, according to Anderson. “The delivery chain behind every connected device is extremely complex. Businesses are already struggling with cloud complexity, but IoT magnifies this with sensors, masses of new data and dynamic containerized workloads.”
The old ways of managing IT and software simply don’t work against this extremely convoluted IT environment. IoT creates many blind spots and an additional layer of complexity. To address the problem, AI’s processing power may be the answer, to make sense of the complexity, map the IT environment end-to-end, pick up problems immediately with precision and offer resolutions quickly.
“The imperative is on companies to find ways to process, analyze and manage the IoT delivery chain holistically, and with deep insight, so they know exactly what’s happening and where issues are arising in real time,” Anderson said.
Already there are companies trying to secure IoT devices utilizing AI. Consumer cybersecurity provider BullGuard announced it is partnering with BGN Technologies in Israel, to develop automated IoT threat detection and to address privacy issues using AI and advanced machine learning algorithms.
BGN Technologies is a technology transfer company of Ben-Gurion University, which is considered a leader in the field of cybersecurity research. Dojo by BullGuard offers advanced cloud-based IoT cybersecurity platform designed from the ground up for service providers.
“An estimated 80 percent of IoT devices have built-in vulnerabilities, creating a tremendously vulnerable IoT landscape,” said Yossi Atias, general manager of IoT Security at BullGuard. Many IoT devices are not properly designed cybersecurity-wise. As a result, they introduce multiple cybersecurity risks for both physical and digital assets, posing significant risk to data integrity and privacy. The joint research partnership between Dojo by BullGuard and BGN Technologie will foster cybersecurity innovation, Atias said.