Exeon builds ExeonTrace, an AI-driven network detection and response platform that analyzes network metadata to flag intrusions and anomalous behavior without deploying endpoint agents.
Exeon Analytics AG is a Swiss cybersecurity vendor founded in 2016 as a spin-off from ETH Zurich. The company is based in Zurich and built its business around network detection and response (NDR) technology that applies machine learning to network traffic metadata rather than full packet capture, allowing it to operate without installing software agents on endpoints or servers. Its flagship product, ExeonTrace, is used by enterprises in banking, healthcare, insurance, and critical infrastructure across Europe to detect intrusions, lateral movement, and anomalous behavior across IT and OT networks.
In 2024, Exeon was acquired by NVISO, a Brussels-based cybersecurity services and managed detection and response provider. The acquisition combined Exeon's NDR technology with NVISO's security operations and consulting services, positioning the combined business to offer network-layer detection as part of a broader managed detection and response portfolio. Exeon continues to operate its own platform and brand within the NVISO group as of the research cutoff.
Documented from public materials · these are the products the AMS scores
ExeonTrace
Shipping since 2018
ExeonTrace is Exeon's AI-based network detection and response platform. It ingests network metadata such as flow logs, DNS records, and proxy logs, and applies machine learning models to build behavioral baselines and flag anomalies indicative of malware, lateral movement, insider threats, and command-and-control activity. The platform is agentless, relying on existing network infrastructure such as switches, firewalls, and proxies for data rather than installing software on endpoints, which the company positions as suited to environments with legacy systems and operational technology (OT) that cannot run agents.
2024 - 2026 ·gold = a monetization move· grey = product or capital
NVISO announced the acquisition of Exeon Analytics, integrating Exeon's NDR platform into NVISO's managed detection and response and security consulting business. Source: https://www.nviso.eu/
Exeon does not publish list pricing for ExeonTrace. Public materials describe the platform as sold on an annual subscription basis, with cost tied to the scale of the customer's network environment, such as the number of monitored devices, sites, or data volume, rather than a per-seat or per-analyst model. Enterprise deployments typically involve a sizing and scoping engagement before contract terms are finalized.
There is no public evidence of a separate metering mechanism for AI or automated detection features within ExeonTrace; the platform's machine learning capabilities appear bundled into the core subscription rather than billed as a distinct usage-based add-on. Pricing not public.
Analyst layer · placement follows the documented capability above
Independence. ExeonTrace automates the detection and correlation of network anomalies using machine learning, reducing the manual log review that security analysts would otherwise perform. However, triage, investigation, and response actions remain human-led, placing the platform in the mid-range of independence rather than fully autonomous operation.
Job width. The platform covers an end-to-end detection workflow within the security operations function, spanning data ingestion, behavioral modeling, alert generation, and forensic investigation support. It does not extend into cross-functional tasks such as automated remediation, patching, or IT ticketing, which keeps its scope within a single functional workflow rather than cross-departmental automation.
Output versus cost. By applying machine learning to network metadata at scale, the platform can process volumes of traffic data that would be impractical for manual review, giving customers a meaningful multiple in analytical throughput relative to a comparable manual monitoring effort, consistent with an inflecting rather than incremental improvement.
Monetization pattern. Exeon's documented monetization pattern is a traditional enterprise software subscription tied to network scale, sold directly and through the NVISO group's managed services channel, with no public evidence of usage-based or outcome-based pricing tied specifically to AI-driven detection accuracy or automation volume.
| Edition | AMS score | Change | |
|---|---|---|---|
| Aug 2026 | M · M · Infl | Baseline, first edition |
Future editions add a row whenever the score or the metric moves, with the evidence that moved it.
About this data
Everything on this page is a synthesis of public information: published reporting, vendor documentation, and procurement data that anyone can access. We link to those sources throughout. Nothing on this page draws on private or confidential information, and the positions are Monetizely's analysis of that public record, refreshed monthly.