Vectra for the Retail Industry

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Identify Attack Scenarios Common in Retail

  • Detect, prioritize and respond faster to attacks as well as monitor insider threats and privileged access abuse to protect reputational damage
  • Identify lateral movement to prevent the theft of administrative and account credentials
  • Expose attacker behaviors that attempt to steal sensitive intellectual property (IP), personally identifiable information (PII) and payment card information (PCI)
  • Support retail regulatory requirements, including PCI, GDPR, and data protection acts

“We were attack victims twice and, both times, Vectra saved us. We learned from the first attack, which Vectra brought to our attention. Vectra helped us dramatically. We could have incurred massive financial losses and reputational damage.”

“We were attack victims twice and, both times, Vectra saved us. We learned from the first attack, which Vectra brought to our attention. Vectra helped us dramatically. We could have incurred massive financial losses and reputational damage.”

Michael Duncan

Cybersecurity Analyst

The Very Group

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

Automate threat detections

Detect attacker behaviors in real-time using AI-derived machine learning algorthims resulting in actionable alerts for faster response and remediation and less unplanned downtime to protect your bottom line.

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

Gain visibility into traffic across the entire retail attack surface, including behaviors in cloud and data center workloads, IoT devices and in-store POS systems. so you can resolve issues before data is exfiltrated and impacts your customers or supply chain.

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

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Vectra US Federal & SLED Contract Holder