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Case Study

FireMon Delivers Policy Visibility and Control to Keep Pace with Rapid AI Infrastructure Growth

A leading AI computing company develops specialised processors and supercomputing systems to accelerate AI training and inference.

The Results

65%

Reduction in Manual Effort

1,800+

Hours Saved Annually

$180,000

In Headcount Cost Avoidance

The Challenge

A leading AI infrastructure company faced mounting security challenges as it prepared for explosive growth that would more than double its firewall infrastructure. With overly permissive rules created during rapid data centre migrations, no rule documentation whatsoever and constant friction between cloud and on-premises environments, its small security team needed a solution that could scale with ambitious expansion plans.

The company set out to:

  • Identify and clean up overly permissive firewall rules created during rapid data centre expansion.
  • Document rule purpose, business ownership and expiry dates to strengthen accountability.
  • Improve policy visibility across AWS and on-premises environments to reduce operational delays.
  • Automate compliance checks and rule reviews so that a small security team could support continued growth.

The Solution

FireMon delivered an automated, scalable policy management platform. By implementing FireMon Security Manager with Policy Optimizer, the organisation gained immediate visibility into critical security policy non-compliance, discovered rules "allowing internet access in places that it shouldn't have been", and established a foundation for automated governance that supported growth from 36 to 46+ firewalls over 18 months.

FireMon Delivered

  • Security Manager for policy visibility and compliance monitoring across its Palo Alto Networks environment
  • Policy Optimizer for automated rule recertification and clean-up
  • 80 firewall licences with a quarterly true-up agreement to accommodate rapid expansion
  • 5,000 network device licences for end-to-end topology mapping
  • A fully distributed architecture with multiple data collectors for global coverage

Results

  • Uncovered unexpected internet access and policy non-compliance during the production proof of concept.
  • Gained visibility into firewall rules that fell outside data centre security requirements.
  • Established a foundation for automated rule recertification, policy clean-up and compliance monitoring.

“FireMon’s demo environment is one thing, and it's great for showing off certain features. But when you actually apply it to your own environment, that's when it's eye opening.”

[Network Security Engineer], responsible for the selection and deployment of FireMon

FireMon Delivers Policy Visibility and Control to Keep Pace with Rapid AI Infrastructure Growth