Company D

Enhanced endpoint detection and response for Company D

Background

Company D, a regional financial services provider with over 1,000 employees, faced growing concerns about the security of their endpoints, such as employee laptops, desktops, and mobile devices. With increasing cyber threats like ransomware, fileless attacks, and zero-day vulnerabilities, Company D’s legacy antivirus software was no longer sufficient to protect sensitive financial data or meet regulatory requirements.

The Challenge

No visibility

Lack of real-time monitoring for suspicious activity on employee endpoints.

Downtime & data loss

High risk of operational downtime and data breaches if endpoints were compromised.

Poor regulatory compliance

Difficulty maintaining compliance with strict financial regulations, including data protection and cybersecurity mandates.

Cybersecurity risks

Inability to detect and respond to advanced threats like ransomware and fileless attacks.

Our Solution

We implemented a comprehensive Endpoint Detection and Response (EDR) solution, designed to provide real-time threat monitoring, advanced threat detection, and rapid incident response across all their devices.

1
Real-time threat detection
Deployed AI-powered EDR tools that continuously monitored endpoints for abnormal behavior, instantly flagging and isolating potential threats.
2
Centralised management dashboard
Provided Company D’s IT team with a single, unified platform for monitoring all endpoints and taking action on alerts quickly.
3
Zero-day threat protection
Utilised machine learning to detect new, previously unknown threats (zero-day attacks) and respond in real time.

The Outcome

99% Reduction in endpoint attacks
The real-time detection system identified and stopped threats immediately, reducing the number of successful endpoint attacks by 99%.
Faster response times
Automated responses reduced the average response time to incidents from hours to minutes, minimising potential damage.
Improved regulatory compliance
Full audit trails and reporting capabilities, helping D maintain compliance with financial industry cybersecurity regulations.
Reduced downtime
Rapid detection and isolation of infected devices minimised downtime, ensuring business continuity and secure transactions.

Technologies Used

  • AI-powered EDR tools
  • Machine learning-based threat detection
  • Automated incident response systems
  • Centralised management dashboard
  • Vulnerability management tools

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