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Securing AWS with Vectra
Technology Category
- Cybersecurity & Privacy - Network Security
Applicable Industries
- Professional Service
Applicable Functions
- Business Operation
Use Cases
- Cybersecurity
Services
- System Integration
The Challenge
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.
About The Customer
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.
The Solution
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.
Operational Impact
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