Corelight for healthcare cybersecurity

Threat actors increasingly leverage AI for automated reconnaissance, using it to rapidly scan healthcare infrastructure to identify vulnerabilities such as unpatched software. This activity is frequently a ransomware precursor. NDR with AI and machine learning, can help you identify and interrupt these early kill chain signs. It detects scanning patterns, enumeration attempts, brute-force attacks, and other indicators. Even in worst-case scenarios, NDR aids in mitigation of exploits, malware, and phishing (a common ransomware delivery vector). It reveals attack origins, precise details about compromised data, and aids in file recovery.

Securing sensitive proprietary, research, and patient data is a top concern of the healthcare industry. However, defending against advanced threat actors — such as state-sponsored APT groups like APT29 who target such data — requires behavioral detections. While APTs are adept at evading EDR systems and signature- or rule-based defenses, even their most subtle techniques can be uncovered by a SOC equipped with NDR and an accurately-baselined network. By understanding normal network behavior, deviations and threats become visible, enabling the detection of even the stealthiest adversaries. Continuous network monitoring can bring attention to hidden exfiltration by identifying subtle changes in communication patterns indicating lateral movement, gradual increases in outbound traffic to suspicious destinations, or unusual data flows during off-hours. By detecting these behaviors in real-time, organizations thwart adversaries and protect data from compromise.

Observability is the front line defense against supply-chain attacks that target VPNs and remote management tools. These connections between trusted vendors and healthcare networks have become preferred intruder entryways. NDR alerts SOCs to unauthorized access attempts or unusual commands initiating from a VPN , which may signal an attack or malware delivery. Beyond this, the increasing proliferation of vulnerable devices, such as smart medical equipment underscores the need for network asset discovery to comprehensively see, map, and defend other entry points.