Vectra AI Inc. Case Studies Securing AWS with Vectra
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Securing AWS with Vectra

Vectra AI Inc.
Cybersecurity & Privacy - Network Security
Professional Service
Business Operation
Cybersecurity
System Integration
The Municipal Property Assessment Corporation (MPAC) was facing a challenge of lack of lateral movement visibility within the organization. As an IT security veteran, Mirza Baig, IT Security Manager at MPAC, needed to understand the security solutions the team was utilizing. He found that the team had already prioritized removing any blind spots, which is key to having the ability to detect attacker behavior. However, the existing solutions were not sufficient to detect lateral movement across cloud or enterprise workloads.
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The Municipal Property Assessment Corporation (MPAC) is Ontario’s property expert that delivers property values, insights and services to taxpayers, municipalities, government and businesses. The organization operates as an Amazon Web Services (AWS) shop that is responsible for securing the organization’s information, data and domains from an operational, compliance, and risk management perspective. They prioritize visibility across their environment by utilizing different security controls to help keep tabs on any abnormalities.
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To address the challenge, MPAC implemented Vectra Cognito Detect, an AI-driven network detection and response solution. This solution helps MPAC stop any lateral movement across cloud or enterprise workloads. Cognito Detect is able to find attackers who have bypassed preventative tools like multi-factor authentication (MFA) or endpoint solutions and spot their activity before an attack occurs. In addition to detecting lateral movement, Cognito Detect allows MPAC’s SOC to augment their skills with artificial intelligence (AI) so they can automate the prioritization of threats based on risk and privilege, triage the highest-risk threats and investigate behavior-based threat signals.
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Detection of lateral movement within organization
Full visibility into AWS Nitro-based instances
Detection of abnormal activity within their AWS environment and infrastructure
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