Aeris today updated a cloud service that leverages machine learning and other forms of artificial intelligence to secure Internet of Things (IoT) platforms connected via cellular networks.
Hari Nair, Senior Director of Product Management at Aeris, said the latest edition of the Intelligent IoT Network also adds an Intelligent Security Center to provide visibility and analytics to uncover malicious activity. Armed with this information, Nair said, organizations can then isolate and remediate IoT platforms through the intelligent IoT network overlay without requiring agent software to be installed on each platform to secure it.
IoT environments are finally evolving, which is rapidly expanding the attack surfaces that organizations must defend. This highlights the unique challenges that organizations face when it comes to IoT security. The smart IoT network provides a way to secure IoT platforms that are otherwise blind spots and a gateway through which cybercriminals can laterally spread malware across an entire enterprise, Nair noted.
Securing these expansive environments requires a level of cooperation between cybersecurity, IT and operating technology (OT) professionals that can only be achieved when augmented by AI, Nair added. . The average organization, however, doesn’t have the resources to build an overlay network to deliver those capabilities on its own, Nair said.
IoT application deployments are increasing as organizations embark on digital business transformation initiatives that require more data to be processed and analyzed at the point where it is created and consumed. The challenge they face is that many of the platforms used to process this data were installed years ago. Thus, the ability of platforms to protect data is limited. In fact, several notable ransomware attacks have already been launched against network-attached legacy platforms.
Regardless of how IoT platforms are secured, it is already clear that AI will have to play a bigger role. It is not possible for IT professionals to physically visit an IoT platform in the field every time there is a problem. It is unlikely that AI will entirely replace the need for IT professionals; However, it is clear that existing approaches to managing IoT devices will not be able to scale as organizations begin to deploy thousands of platforms.
In the meantime, many cybersecurity professionals will again find themselves called upon to secure platforms after deployment. Rather than involving cybersecurity teams from the start of a project, there is a tendency to deploy first and attempt to secure later. This approach usually results in neglecting one or more cybersecurity requirements. Cybersecurity professionals need a way to discover all IoT platforms connected to a network, whether someone in the organization has informed them of their existence or not. After all, it is the cybersecurity team that will ultimately be held accountable.
The proverbial IoT horse, however, is already out of the barn. The challenge, now, is to find the fastest possible way for cybersecurity teams to not only catch up, but also master the IoT platforms that, in the months to come, will only multiply more.