The risks of cybersecurity are more complex than ever. Due to the rise of the Internet of Things (IoT) and Artificial Intelligence (AI), by 2020 every person will generate 1.7 megabytes of information per second. As new technologies evolve, cyber criminals adapt and discover new hacking methods to apprehend sensitive data. AI and IoT have the potential to revolutionise society, but what happens when these new technologies are weaponized by cyber criminals?
Unless hardware-based endpoint security solutions are implemented in IoT and AI devices, users leave themselves vulnerable to cyberattacks. Anyone in control of one or more of these devices can access a huge number of computers and networks. Banks, governments, the healthcare industry and even private homes are major risk fields, and cybercriminals are very much aware that the more devices that are interlinked, the more data there is that can be compromised.
AI was created to use machine learning (ML) to go beyond the capabilities of a human and see patterns that humans cannot perceive. It is also able to evolve to realize patterns that humans haven’t even programmed them to process. Looking at data in completely new ways opens up so many possibilities but consequently it also opens the door to numerous risks because the dangers of cybersecurity are not properly considered when manufacturing IoT and AI devices.
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