Over the last several years, we’ve seen significant technological innovation across nearly every business sector, including manufacturing, consumer products, healthcare and more. The adoption and integration of digital technologies into products at every level has become pervasive, with interconnectivity speeding the rise of IoT (Internet of Things). Practically every modern device we use today is now connected, allowing greater automation, control and analytics-based insights. The growth of this new area in device and computing interconnectivity is not only calling for better network and internet infrastructure, but also stronger and more effective security solutions.
The primary object of attention and protection is the intellectual property in the form of rich applications that include artificial intelligence (AI) and machine learning (ML) algorithms at the edge. This whitepaper will cover security considerations and approaches when deploying AI at the edge, as well as methods to protect AI models.
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