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Tracking Platforms Involved in Cyber Incidents

Cyber incidents are often discussed in terms of threat actors, malware, or attack vectors, but one of the most operationally important questions is frequently overlooked: what systems were actually compromised during the intrusion?

To provide greater visibility into this aspect of incidents, VenariX now enriches incidents with compromised asset information. This includes systems, platforms, infrastructure, and technologies identified as potentially accessed or otherwise exposed during an incident.

The feature helps users move beyond high-level incident classifications and better understand what types of assets threat actors are targeting after gaining access to an environment.

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Technologies used for initial access and systems impacted during incidents can vary significantly across incident types.

For example, ransomware incidents may involve the compromise of VMware ESXi servers, backup infrastructure, file servers, domain controllers, or remote management platforms. Business email compromise incidents may involve Microsoft 365 tenants, payroll platforms, or cloud email systems. In other incidents, threat actors may access databases, ERP systems, development infrastructure, or third-party SaaS applications for data collection and lateral movement.

Tracking compromised assets across incidents provides several operational benefits:

  • Identifying technologies commonly targeted by threat actors

  • Understanding recurring post-compromise attack paths

  • Prioritizing hardening efforts for high-value systems

  • Improving defensive visibility around commonly abused platforms

  • Supporting exposure analysis for third-party technologies

VenariX also includes filtering capabilities for enriched products and platforms, allowing users to identify incidents involving specific technologies, vendors, or asset types across the dataset.

Within the VenariX platform, users can view technologies and platforms involved in an incident within the Incident Details view under Systems Potentially Involved.

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