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Using Intelligence to Defend Against Cellular IoT Device Attacks

July 21, 2022


11:00 AM EDT




Cybersecurity attacks are on the rise, and in fact, are up 240% since the second half of 2021. Detection and remediation of security breaches can be slow (up to 287 days to detect) and very costly ($4.2M on average per incident). IoT programs and the connected devices to support those programs are especially vulnerable due to the sheer number of end-points and uncontrolled environments. Security attacks are continuously evolving, and it is near impossible to predict the next set of IoT attacks. Traditional device-based security is insufficient and cannot address these evolving and unforeseen attacks. What are IoT solution leaders in the industry doing about it to protect their customers’ IoT investments and reputation?

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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