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Artificial Intelligence Risk Landscape on IoT devices, An Examination of a Smart Doorbell

Timur Yunusov

Head of Offensive Security Research
Research
  • Application Security

In this paper, we review the risk landscapes of Artificial Intelligence (AI) and Machine Learning (ML) when integrated into common household Internet of Things (IoT) devices. We’ll examine:

  • An overview of the security stance and preparedness of the AI and ML industry as a whole.
  • Hypothetical security risks this new technology might introduce into our lives and discuss possible attack vectors.
  • The security of a commonly available IoT device with AI/ML enabled features, like a doorbell camera with facial recognition technology, a connection with the cloud, and it notifies you with pictures and videos of visitors at your door through its companion phone App. 

How secure is this device? What are the potential impacts of using these devices if attackers compromise them? Could an attacker easily exploit it to view your personal data? Will it impact manufacturer’s compliance with regulations, such as to the General Data Protection Regulations (GDPR) and potentially expand is financial liability?  

Download the full research white paper to learn more.

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