In this Intel on AI podcast episode: Today, social media is among the primary business and communication platforms for modern organizations, yet, social media networks are incredibly large platforms with some of the most complex security challenges. Increasingly attackers hide attacks with embedded images and video manipulation which evade traditional detection methods and are very difficult for untrained systems to detect, let alone to be detectable by human beings. Matt Price, Principal Research Engineer at ZeroFOX, joins the Intel on AI podcast to discuss how ZeroFox is using machine learning and artificial intelligence to detect deepfake technology being used on social media platforms today. He talks about the challenges that occur when ingesting differently structured data from various social media platforms and how the ZeroFox platform is able to parse and categorize relevant content or types of media to be used in their data models. Matt highlights how utilizing the Intel Distribution of OpenVINO toolkit has allowed ZeroFOX to greatly increase their object detection model performance by taking advantage of the CPU optimizations within the toolkit. He also discusses how ZeroFOX works on threat intelligence, impersonation remediation, financial fraud detection and many other services with their technology.

To learn more, visit: zerofox.com

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