PKF Melbourne MDR Case Study

In this case study, Oscar Ortiz, IT Manager at PFK Melbourne, explains why they chose eSentire to help them consolidate their security tools and protect their business & sensitive data 24/7 from cyberattacks.

Company Description: PKF is a full-service accounting firm that provides financial solutions to private businesses, personal and professionals. PFK Melbourne is a member of the PKF international network that collaborates with over 200 firms across 50 countries.

Industry: Financial Services

Security Challenges:

• Lack of subject matter expertise in-house so they needed expert-level guidance from a trusted MDR partner to identify and address gaps in their security program
• Improve their cybersecurity maturity by leveraging Elite Threat Hunters to stay ahead of the threat landscape
• Limited resources leaving them unable to monitor the complete attack surface 24/7 or build an internal SOC
• Build and maintain a cybersecurity strategy that protects the sensitive data of their business and customers as it was being targeted by attackers
• Need for expert-level support and guidance from a trusted MDR partner

eSentire Services Implemented:

• eSentire MDR for Network
• eSentire MDR for Endpoint, Powered by CrowdStrike
• eSentire MDR for Log

The eSentire Difference:

eSentire quickly became an extension of the PKF Melbourne team, providing:

• Around-the-clock security event monitoring with 24/7 threat detection, investigation, and response
• SOC team members that have an average tenure of 6 years and hold advanced certifications including SSCP, CSAP, CISSP, Security+, Network+, Linux+, Server+, & more
• Proactive threat intelligence, original threat research, and regular updates to runbooks, detection rules and machine learning models through eSentire's industry-leading Threat Response Unit (TRU) helping PFK to be more cyber resilient and stay ahead of the latest threats
• 15-minute Mean Time to Contain
• Detection and response to attacks targeting their customers’ and business’ sensitive data