Using Intelligence to Defend Against Cellular IoT Device Attacks


Join Drew Johnson, Executive VP of Product and Technology at Aeris, to learn how you can safeguard your connected IoT programs from the various types of attacks and threats, and corresponding cellular IoT security best practices you can implement to prevent such attacks. Drew will also speak to the state-of-the-art cellular IoT security solution, built on machine learning (ML) intelligence that can enable you to stay a step-ahead of evolving and unforeseen attacks on IoT devices and programs.

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Dive Deeper Into
IoT Security

In this next video, we will demonstrate how you can use the Indicators of Compromise (IOCs) and deep forensic capabilities of the Aeris Intelligent Security Center (AISC) for two specific uses cases: detect data breaches and prevent ransomware.

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Rapidly identify, predict, and resolve IoT security issues with AI

As the Internet of Things (IoT) scales up, manual processes and analysis performed by human beings become unviable because of the increasing amount of data. This has resulted in growing demand for greater automation and speed of response in order to head-off issues early enough to avert disaster. These issues range from security to software or firmware updates that contain previously undiscovered bugs - issues which AI can resolve to enable better experiences and reduce complexity.

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If you want to learn more about how easy it is to improve the security of your cellular IoT devices—with nothing to setup or configure— select the button below to schedule a free demo.

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