Skip navigation EPAM
  • Enter your search query or select one from the list of frequent searches below. Use up and down arrows to review and enter to select.

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

Timur Yunusov

Head of Offensive Security 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.

Get Whitepaper

Successfully submitted! Please check your email for the link to the whitepaper you requested.

Oops, something went wrong. Please try again.

If your download doesn't start automatically, please click

Validation failed! Please use the same browser and device that you used to fill out this form. You can also re-submit the form to receive a new download link.

Thank you for helping us keep your information up-to-date.


We Can Help

Our experts can help identify vulnerabilities and threats to keep your business secure.