CISO Challenge #3

Writing and maintaining SIEM use cases for network log data is cumbersome

Many companies that don’t have a dedicated NDR solution in place yet, aim to analyse network logs with their SIEM. However, writing reliable use cases for network log data with a SIEM is difficult for several reasons. First, NetFlow/IPFIX, which is the dominant industry standard for network traffic logging, logs each connection direction separately. SIEMs typically lack functions to create a holistic view of these individual log entries. Secondly, SIEMs lack specific machine learning models for network traffic. Third, there can easily be billions of data points per day, causing major scalability issues. And lastly, due to the massive amount of data points, the accuracy of use cases must be very high to avoid too many false positives.

Exeon’s approach
Exeon’s approach

ExeonTrace’s algorithms, which are based on research from ETH Zurich, reconstruct a consistent representation from billions of network log data points. This allows ExeonTrace to run advanced detection models on billions of data points on a single commodity VM with high accuracy
ExeonTrace comes with use cases that combine supervised ML, unsupervised ML, expert knowledge, and traditional IOCs
These use cases are managed by Exeon
Benefits for CISOs and security teams
Benefits for CISOs and security teams

Scalable, high-quality detection for network traffic logs, with very few false positives
Use cases are updated by Exeon
No need to manually write and maintain use cases

Future-proof NDR approach

ExeonTrace brings ready-made use cases

With ExeonTrace one does not have to write complicated queries because we bring ready-made visualisations and use cases.

pic ciso challenge

Other challenges you might have:

Why Global Organizations Love ExeonTrace

Comprehensive Visibility

Comprehensive Visibility

Visibility into your entire IT/OT network and all its interfaces to identify vulnerabilities (exposed services, shadow IT etc.) and malicious attack patterns in real-time.

Unaffected by Encryption

Unaffected by Encryption

Algorithms are unaffected by encrypted payloads since they are built to detect attack patterns based on metadata and not deep packet inspection.

Light-weight Log Data

Light-weight Log Data

Analysis of light-weight network log data instead of data-heavy traffic mirroring. Metadata can be exported from existing network sources (switches, firewalls etc.) without hardware sensors.

100% Swiss

100% Swiss

As an established Swiss NDR solution, based on a decade of research at ETH Zürich, we maintain a high level of innovation and privacy, which is incorporated in our ExeonTrace platform.