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Vectra for the Healthcare Industry

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Learn about the sizable risk of cyber well-being in healthcare

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Identify Attack Scenarios Common in Healthcare

Expose attacker behaviors without relying on signatures, to detect and stop attacks such as ransomware, Zeus, Citadel and other malware variants across the cloud, data, enterprise and IoT networks
Identify compromised medical IoT devices that are used as proxies to carry out targeted attacks
Expose attacker behaviors that attempt to steal protected health information (PHI), personally identifiable information (PII) and payment card information
Support healthcare compliance requirements, including payment card industry (PCI), decision support systems (DSS), Health Insurance Portability and Accountability Act (HIPAA) and Health Information Technology for Economic and Clinical Health (HITECH)

“Vectra was the missing link in our security strategy.”

Connie Barrera

Chief Information Security Ofﬁcer

Jackson Health System

Vectra provides the healthcare industry with the fastest and most efficient way to detect and respond to cyberattacks across the entire attack surface – inside cloud/SaaS workloads, data centers, medical IoT and enterprise networks.

Automate threat detections

AI-derived machine learning algorithms detect attacker behaviors in real-time for faster response and remediation and more efficient, precise threat hunting.

Empower threat hunters

Launch deeper and broader investigations into cybersecurity incidents detected by Vectra as well as other security stack controls, and hunt retrospectively for hidden cyberthreats.

Visibility into the attack surface

Visibility into all network traffic across the entire healthcare attack surface, including behaviors in cloud and data center workloads and user and medical IoT devices.

Capture and enrich metadata

Capture, analyze and enrich metadata from all network traffic within your healthcare infrastructure with context about an attack, relevant logs and cloud events for faster threat hunting and investigations.

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Questions?

Additional Retail Cybersecurity Resources

Research: Cloud Services and Remote Healthcare Create New Attack Surfaces Research: Cloud Services and Remote Healthcare Create New Attack Surfaces

Solution Brief: Protecting Patient Health and Privacy from Cyberthreats Solution Brief: Protecting Patient Health and Privacy from Cyberthreats

Video: How Cooper University Health Care Defends Against Malware and Threats from IoT Devices Video: How Cooper University Health Care Defends Against Malware and Threats from IoT Devices

Case Study: How an International Private Healthcare Group Achieves Real Time Threat Detection Case Study: How an International Private Healthcare Group Achieves Real Time Threat Detection

Case Study: How NHS Bolton Protects Patient Information Case Study: How NHS Bolton Protects Patient Information

Blog: The Sizable Risk of Cyber Well-being in Healthcare Blog: The Sizable Risk of Cyber Well-being in Healthcare

Blog: Confronting Risk and Exposure in Healthcare Networks Blog: Confronting Risk and Exposure in Healthcare Networks

Case Study: How Pennine Care NHS Foundation Trust Hunts Internal Attackers Case Study: How Pennine Care NHS Foundation Trust Hunts Internal Attackers

Case Study: How GMMH NHS Foundation Trust Stops Attacks with Cognito Detect for Office 365 Case Study: How GMMH NHS Foundation Trust Stops Attacks with Cognito Detect for Office 365

Case Study: How a University Healthcare System Uses Vectra to Expose the Truth about Cyberattacks Case Study: How a University Healthcare System Uses Vectra to Expose the Truth about Cyberattacks

Solutions

Industries

Federal Government

Government Cybersecurity

Fastest attack detection. Fastest incident response. Fastest threat hunting.

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AI-driven Network Detection and Response (NDR)

Attacker behavior detection

Self-learning threat behavior models from data science and security research automatically identify malicious activity, fortify key security attributes and security patterns, normal patterns, precursors, account scores, host scores, and correlated attack campaigns.

Real-time threat hunting

Metadata extracted from all network traffic is enriched with security insights so you know where and what to hunt. SOC teams increase productivity and reduce attacker dwell time by integrating Vectra with your current security ecosystem for end-to-end response automation.

AI and machine learning

AI and ML scale-up to analyze and prioritize huge volumes of threat events to give SOCs the right information at the right time. High-fidelity alerts about in-progress attacks enable faster, informed responses and quick, decisive enforcement actions for a superb ROI.

CDM DEFEND: See What’s Happening on the Network

Aligned with Continuous Diagnostics and Mitigation (CDM) Dynamic and Evolving Federal Enterprise Network Defense (DEFEND) Phase 3, Vectra shows what’s happening in federal and government agencies' cloud, data center, and IoT networks to harden security posture.

Vectra addresses critical elements of Phase 3:

Protect: Automatically detect, triage and prioritize threats that evade boundary protection, enabling faster mitigation of high risk attacks.
Manage: Integrate with your existing security ecosystem – from endpoint detection and response to orchestration and security information event management – for end-to-end threat management.
Respond: Automatically share critical threat behavior data – including context about attack campaigns and forensic evidence.
Improve: Advanced machine learning algorithms derived from AI continuously learn, becoming more intelligent and operationally effective over time.

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