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Vectra AI Inc. > Case Studies > Telecom Provider Relies on Vectra and AWS to Stop Hidden Cyberthreats
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Telecom Provider Relies on Vectra and AWS to Stop Hidden Cyberthreats

Technology Category
  • Analytics & Modeling - Machine Learning
  • Cybersecurity & Privacy - Network Security
  • Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
  • Telecommunications
Use Cases
  • Cybersecurity
Services
  • Cloud Planning, Design & Implementation Services
  • Cybersecurity Services
The Challenge
The telecom provider’s network spans more than 10 geographies and multiple Amazon virtual private clouds (VPCs). Securing and monitoring such a diverse and expansive footprint is no easy task. As a result, the telecom provider is required to follow and operate under several different compliance policies. To support this mandate, the security team relies on their AWS-hosted ArcSight platform for big data security analytics, security information and event management (SIEM) and log management. Although the telecom company is running endpoint detection and response (EDR) on its managed clients, this still leaves a large security gap in visibility for IoT, unmanaged devices, BYOD, and other devices that cannot support EDR software agents.
About The Customer
This multinational telecommunication services company headquartered in Europe, delivers services across Asia, Africa and the European continent. It is one of the largest mobile network operators in the world based on the number of subscribers. The telecom provider leverages Amazon Web Services (AWS) to host its data lake, which stores network traffic for security forensics and compliance reporting. They also rely on the AI-driven Cognito® threat detection and response platform from Vectra® to identify early cyberattack behaviors in cloud, data center, IoT and enterprise networks. This enables the security team at the telecom provider to hunt proactively for hidden cyberattacks, respond faster to security incidents and conduct highly conclusive forensic investigations to prevent data breaches.
The Solution
The telecom provider leverages the Cognito platform to collect metadata from all cloud and network traffic and enrich it with deep security insights and context about attacks. This dramatically improves threat hunting, incident response and forensic investigations. The telecom provider also uses a custom parser for 15 types of metadata that are critically important. This integration feeds real-time threat detections to the AWS-hosted ArcSight platform where they are correlated with other data such as usernames from Microsoft domain controllers. From the ArcSight management console, the security team can quickly search for insights and context about attacks in security-enriched metadata from the Cognito platform as well as other security details. Integrating Vectra with AWS allows the telecom provider to deploy Vectra sensors that are available in the AWS marketplace into its Amazon VPCs. Traffic mirroring on Amazon Machine Images (AMIs) provides visibility into all traffic flowing in and out of VPCs as well as intercommunication. The health and status of Vectra sensors are easily monitored via Amazon CloudWatch.
Operational Impact
  • Integration between Cognito and AWS allows the company to deploy Vectra sensors in AWS virtual private clouds (VPCs)
  • Complete coverage for all devices, regardless of client types
  • Real-time detections as well as host threat and certainty scores from its enterprise and data center

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