Harnessing Kafka and Machine Learning for Real-Time Threat Detection

About The Webinar

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The Internet of Things (IoT) adoption has increased significantly in the digital world in recent years. Smart devices and sensors can be integrated to collect and transform data that would help to drive business decisions faster with low cost and high accuracy. Nowadays, many services and industries are utilizing networks of IoT devices for different use cases, such as factory automation and traffic monitoring.

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Enterprises adopting the IoT must solve the ever-evolving challenges of IoT security threats while complying with regulatory requirements. Cyberattacks focusing on IoT devices, such as Mirai Botnet or Stuxnet, have resulted in financial loss and service disruptions in recent years. Monitoring the security of IoT devices could help discover, react to, and prevent security threats in the IoT networks. By monitoring the security of IoT networks, enterprises can protect their data and ensure the safe and secure operation of their IoT devices.

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Join the Mitigant webinar with the guest speaker Rahul Kumar, Senior Data Engineer of Technaura Systems GmbH, as he shows how to monitor the threats in IoT devices in real-time by harnessing the formidable capabilities of Kafka in data streaming and processing alongside the precision of machine learning algorithms to identify and neutralize potential risks in IoT networks proactively.