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Exeon Analytics AG is a Swiss cybersecurity company specialising in the protection of IT and OT infrastructures through AI-driven security analyses. The Network Detection & Response (NDR) platform "ExeonTrace" offers companies the possibility to monitor networks, immediately detect cyber threats and thus effectively protect their own company's IT landscape - quickly, reliably and completely hardware-free. The self-learning algorithms for detecting anomalies in network activity were developed at ETH Zurich and are based on more than ten years of academic research. Exeon has received several awards (most recently as a top 3 high-tech company at the Swiss Economic Forum in 2021), is internationally active and counts renowned companies such as PostFinance, V-Zug, SWISS, 3 Banken IT, WIN GD, University of Bern and the logistics group Planzer among its customers.
Join security and business experts from KuppingerCole Analysts and cyber technology firm Exeon Analytics as they discuss how these challenges can be met using machine learning supported and log data based Network Detection & Response solutions to improve the overall cyber security and resilience of organizations.
John Tolbert, Lead Analyst at KuppingerCole Analysts will look at reasons for deploying NDR, the various deployment models, and use cases for enterprise IT and OT environments. He will also explain how ML-enhanced detection algorithms increase confidence and reduce false positives, and discuss key requirements for choosing NDR solutions and how NDR fits into the XDR landscape.
Michael Tullius, Sales Director Germany at Exeon Analytics will discuss why NDR is necessary and how it can benefit security leaders, admins, and incident responders. He will also give examples of detectable use cases, provide an overview of Exeon’s NDR solution, and share recommendations for improving cyber resilience.
