ExeonTrace Understand your web traffic.
Sitting on large amounts of web traffic logs? Use our flagship product ExeonTrace to understand your web traffic and to identify and investigate malware infections and data breaches using big data algorithms.
Sitting on large amounts of web traffic logs? Use our flagship product ExeonTrace to understand your web traffic and to identify and investigate malware infections and data breaches using big data algorithms.
ExeonTrace applies machine learning to network log data in order to identify malware infections based on communication patterns.
No more scrolling through thousands of lines of logs. ExeonTrace extracts relevant information and displays it in interactive graphics. Your analysts can quickly understand anomalies, rather than struggling with raw log files and risking to miss the needle in the haystack.
ExeonTrace is based on award-winning algorithms developed at ETH Zurich.
Our solutions connect to existing SIEM solutions. We operate on top the data stored in Splunk and ELK solutions.
David Gugelmann
CEO & Founder
Dr. sc. ETH
Adrian Gämperli
CTO
Msc ETH
Markus Happe
CRO
Dr. sc.
Andrea Blum
In-house legal/admin
lic. iur.
Pavlos Lamprakis
Security Researcher/Software Engineer
Msc ETH
Prof. em. Dr. Bernhard Plattner
Scientific advisory board
Prof. Dr. Laurent Vanbever
Scientific advisory board
Christian Engeler
Sales Advisor
Exeon Analytics GmbH
c/o ETH Zürich
Gloriastrasse 35, ETZ H87
CH-8092 Zürich
Switzerland
Exeon Analytics GmbH
Hofackerstrasse 14
CH-8032 Zürich
Switzerland