Can Healthcare Stop Ransomware Faster Without Better Network Visibility?



Many hackers are able to breach various parts of the healthcare system because the SecOps team is unable to quickly understand how far an attacker can spread throughout multiple systems. Hospitals, clinics, telemedicine, cloud services, devices and facility systems create traffic on a common network; however, due to lack of central control over how traffic flows & devices in the Silverado system, many of these facilities have blind spots pertaining to the analysis of East to West traffic, devices that are not monitored (unmanaged) & mixed infrastructure (devices that do not have agent-based security monitoring).

Some examples of this are:

  • Almost all types of ransomware operated by transferring themselves around to other locations before they perform file&folder encryptions.

  • A lot of the different device types and workloads out there within the Healthcare ecosystem will not be able to utilize endpoint agents.

  • Packet level evidence will assist with identifying unusual flows of traffic, DNS requests or responses, HTTP patterns, and outbound connections.

  • The use of network metadata will assist with expediting the investigations to complement clinical, cloud, and OT environments.

Independent pieces of evidence correlating to any traffic type support the overall forensics analysis of, investigation into, and incident response to any breaches.Many people believe that the only way to improve your defense against ransomware is by using stronger detection tools. The truth is that the effectiveness of detection tools is only as good as the visibility they get. When there is no capture of the lateral movement, command-and-control, or outbound data movement, response teams are forced to reconstruct incidents from incomplete or compromised logs.

The most significant point to make is that to effectively defend against ransomware in healthcare, you must first have an accurate traffic foundation. By capturing, enriching, and delivering packet-derived evidence into detection, response, and forensic workflows, organizations will gain a complete overview of how ransomware is introduced to an organization, how it spreads laterally, and how it escalates throughout the organization.

Sharing the full guide below for anyone who wants to explore how packet-level visibility supports ransomware detection, response, and forensic defensibility:
https://aviznetworks.com/guide/ransomware-and-the-visibilty-in-healthcare/download


Comments

Popular posts from this blog

Evolving Packet Brokering for Modern Network Observability

Scaling Deep Network Observability for 5G: Reflections from a Real Deployment

How Network Copilot Uses Agentic AI to Correlate FortiGate and Splunk