Security Automation and Threat Intelligence
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Future-Proof Network Detection & Response for IT & OT – Made in Switzerland

Combined Session
Thursday, November 10, 2022 11:30—11:40
Location: Wilhelm von Humboldt

Corporate IT/IoT/OT networks are becoming increasingly complex and distributed. At every given moment, millions, if not billions, of data points are communicating through multiple servers, applications and endpoints. This complexity not only expands the attack surface for cyber adversaries, but also makes the analysis of network traffic increasingly challenging. So, how do you detect a potential cyberthreat among all these network activities?

The Network Detection & Response solution ExeonTrace allows companies to monitor corporate networks through automated, ML-driven security analytics – quickly, reliably and completely hardware-free. By analysing log data from multiple network sources (NetFlow/IPFIX, firewall, DNS, proxy and application logs), ExeonTrace is able to automatically detect network vulnerabilities and potential cyber threats in on-premise, cloud and hybrid network environments, offering security teams intuitive visualisation and drill-downs to investigate security alerts.

ExeonTrace requires no traffic mirroring, is completely hardware-free, unaffected by encryption and compatible with the leading network device vendors. Consequently, we are trusted by industry leaders across Europe in the finance, logistics, manufacturing, healthcare and aviation sectors.

Future-Proof Network Detection & Response for IT & OT – Made in Switzerland
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Future-Proof Network Detection & Response for IT & OT – Made in Switzerland
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Future-Proof Network Detection & Response for IT & OT – Made in Switzerland
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Future-Proof Network Detection & Response for IT & OT – Made in Switzerland
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Michael Tullius
Michael Tullius
Exeon Analytics
Michael Tullius is an experienced industry expert in cyber and network security with a focus on Advanced Threats, DDOS and NDR. Over the last 25 years, he has been successfully involved in new...

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