Understand your web traffic
Sitting on large amounts of web traffic logs? Use our flagship product ExeonTrace to understand the web traffic leaving your corporate network and to identify and investigate malware infections and data breaches using big data algorithms.
Web traffic is the primarily data leakage channel used by sophisticated cyber attackers as well as browser plugins and other software that put your organization’s privacy at risk. Your employees’ web browsing causes millions of network events every day, this allows cyber attackers and malicious insiders to simply hide among these regular activities.
We fight advanced cyber attacks and insider threats using big data analytics. ExeonTrace applies machine learning to network log data in order to identify malware infections and suspicious behavior based on communication patterns. This allows us to find the so-called needle in the haystack and transform collected network log data into actionable security insights.
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.
No separate storage nor data collection required
Our products connect to existing SIEM solutions. We analyze HTTP(S) proxy and NetFlow log data stored in Splunk and Elasticsearch.
Your HTTP(S) proxy and NetFlow data are not stored in a SIEM solution yet? We are happy to setup Elasticsearch for you.