Vectra for the Pharmaceutical and Medical Device Industries


How pharmaceutical companies can protect critical IP


Identify Attack Scenarios Common in Pharmaceuticals and Medical Devices

  • Visibility into attacker behaviors across cloud, data center, IoT, and enterprise networks enables pharmaceutical and medical-device firms to safeguard intellectual property
  • Identify in-progress cyberattacks and stop nation-state cybercriminals in real time before they steal or compromise critical pharmaceutical or medical assets
  • Expose suspicious access to vital intellectual property and other key assets by authorized employees to prevent insider trading and market manipulation
  • Detect policy violations related to the use of cloud storage, USB storage and other means of moving data out of the network

“The ongoing theft of intellectual property is the greatest transfer of wealth in history.”

“The ongoing theft of intellectual property is the greatest transfer of wealth in history.”

Report of the Commission on the Theft of American Intellectual Property

Vectra empowers the pharmaceutical and medical-device industries to detect and respond to advanced cyberattack – including intellectual property theft – in cloud/SaaS workloads, data centers, IoT, and enterprise networks. Driven by AI, Vectra protects pharmaceutical and medical device networks, and is essential to stop in-progress threats like insider trading, market manipulation, and the theft of trade secrets.

Automate threat detections

AI-derived machine learning models detect attacker behaviors in real-time so you can respond faster and stop the theft of trade secrets by industrial spies and nation-state adversaries.

Empower threat hunters

Conclusively investigate attack campaigns and hunt for hidden spies to prevent them from stealing trial results, private earnings data, and acquisition targets.

Visibility into the attack surface

Protect intellectual property with visibility into malicious threat behaviors in all network traffic – across cloud and data center workloads and user and IoT devices.

Capture and enrich metadata

Capture, analyze and enrich metadata from all network traffic with context about an attack, relevant logs and cloud events to speed-up hunting and investigations.

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.

How to Detect, Prioritize, and Respond to Federal and Government Cyberattacks











Vectra US Federal & SLED Contract Holder