Vectra for the Manufacturing Industry


How manufacturers can reduce business risk from cyberattacks


Identify Attack Scenarios Common in Manufacturing

  • Real-time, automated detection of command-and-control attack behaviors, including the use of external remote access tools
  • Identify malicious internal reconnaissance behaviors such as internal darknet scans and SMB account scans
  • Detect SMB brute-force attacks and other lateral threat behaviors that can compromise the security of manufacturing networks
  • Expose and mitigate hidden data-smuggling behaviors associated with the exfiltration phase of a cyberattack

“Vectra gives us the confidence to identify attacker behaviors in real-time.”

“Vectra gives us the confidence to identify attacker behaviors in real-time.”

David Whelan

Group IT Director

The Ardagh Group, manufacturer of metal and glass packaging

Vectra enables manufacturers to detect and respond to in-progress cyberattacks with unprecedented speed – across cloud, data center, industrial IoT, and enterprise networks. Driven by AI, Vectra is instrumental in protecting manufacturers from data theft, espionage, and business disruption.

Automate threat detections

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

Empower threat hunters

Launch deeper and broader investigations into 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 manufacturing attack surface, including behaviors in cloud and data center workloads and user and industrial IoT devices.

Capture and enrich metadata

Capture, analyze and enrich metadata from all network traffic with context about attacks, relevant logs and cloud events for faster threat 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