Vectra for the Energy and Utilities Industries


How Hydro Ottawa reduced time spent on threat investigations


Identify Attack Scenarios Common in Energy and Utilities

  • Expose attacker behaviors without relying on signatures, to easily spot attacks like Flame, Shamoon, Duqu and other malware
  • Detect, prioritize and respond faster to internal recon threat behaviors as attackers search for critical management systems
  • Identify lateral movement by attackers who attempt to steal administrative and account credentials
  • Detect hidden command-and-control tunnels used by attackers to evade firewalls and steal data

“Vectra dramatically reduces the time we spend on threat investigations.”

“Vectra dramatically reduces the time we spend on threat investigations.”

Jojo Maalouf

IT Security Manager

Hydro Ottawa

Vectra provides energy and utility companies with the fastest and most efficient way to find attacks inside industrial IoT, OT and ICS networks as well as cloud, data centers 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 incidents detected by Vectra as well as other security stack controls, and hunt retrospectively for hidden cyberthreats.

Achieve greater visibility

High-fidelity visibility into all network traffic, including the actions of cloud and data center workloads and user and IoT devices, leaving attackers with nowhere to hide.

Capture and enrich metadata

Capture, analyze and enrich metadata from all network traffic with context about an attack, 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