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Can AI Secure IoT Networks?

By Enterprise Security Magazine | Tuesday, August 13, 2019

Internet of ThingsThe emergence of AI-based network solution providers is enabling users to secure their connected devices with robust security solutions.

FREMONT, CA – The proliferation of digital technology has brought cybersecurity to the forefront of public discussion. However, the focus of most consumers is on securing devices, rather than the overarching network serving as the backbone for connected devices.

Compromised routers can grant access to cyberattackers seeking to enter the network, allowing them to expand their attack to all the connected devices in the network. The growing threat of cyberattacks affects not only the network providers but the consumers as well. Hence, it is the responsibility of everyone involved to secure the devices and networks against cybercriminals.

To ensure overall security for connected devices, it is imperative to take the manufacturing and supply chain part of the lifecycle into account. Robust embedded security plays a vital role in protecting the data and privacy of digital devices. Also, the network security offered by the service providers will determine the protection of smart home devices.

The devices in the internet of things (IoT) are interconnected through a variety of technologies designed to communicate among themselves and the external environment. The connectivity between the end-users and the communication devices is facilitated by the integration of hardware, embedded software, communication services, and IT services.

As IoT attacks evolve in terms of sophistication, the security frameworks and controls need to expand accordingly. Gartner reveals the potential rise of IoT Endpoint Security solutions spending up to $631 million by the year 2021. Inevitably, several organizations, including artificial intelligence (AI) startups, are developing robust solutions to tackle IoT and network security vulnerabilities around the world. The emerging AI-driven solutions are designed for cutting-edge network security, device intelligence, and advanced parental controls, which can be controlled through mobile applications.

The generic networking equipment such as routers and IoT devices serve as a weak link in the network infrastructure. Often, the devices do not accommodate continuous updates for firmware and software. Also, low computational power is insufficient to host robust security solutions.

However, the rise of AI is enabling organizations to embed better security features. It allows quick mapping of the network, enabling users to identify vulnerable devices at the edge of the network. AI can seamlessly spot anomalies, allowing the identification of unusual patterns in network traffic. The proactive tracking and flagging capabilities offered by the AI-based solutions can help organizations secure the devices at the edge, which could potentially serve as back doors for cybercriminals.

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