Thursday, September 20, 2018
With input from George Finney and Michelle Malcher, Fuel User Group Board Members
Earlier this year at the Ignite Cybersecurity Conference in Anaheim, California, Fuel set up an interactive wall for attendees to mark areas where they are spending their time in their work, such as firewall configuration, and areas where they’d like to spend more time, such as private cloud management. The wall tells a great story—by peers, for peers—about where the industry stands. Here, we’ve broken down a few of the findings, with input from two Fuel User Group Board Members.
According to a prediction by 
A security stack is a collection of resources a company uses to protect itself from cybersecurity incidents. When incidents do occur, companies often believe the solution is to increase tools in their stack. However, this may not always be the best use of the stack. In many cases, more tools can mean more work for cybersecurity analysts who are already addressing thousands of possible threats every day. Companies can simplify their security stack by eliminating redundant tools or ones that rely too heavily on manual monitoring, to improve efficiency. It’s not about having every new tool or service in your security stack — it’s about how you use them.
The Importance of DevSecOps
Unit 42 is the global threat intelligence team at Palo Alto Networks and believe threat intelligence should be free, shared and available for all. s and industry experts. Unit 42’s podcast, titled 
Charles Buege is a Fuel User Group member who has a home lab setup unlike most others. Using a commercial internet provider and running multiple firewalls, his home lab gives him plenty of hands-on learning experience that can translate into his daily work environment. Here he shares how he set up the Palo Alto Networks PA-220 next-generation firewall. Be sure to read his other Fuel blog post, “
The Palo Alto Networks Ignite 2018 conference has come and gone, but the value of the education and engagement that occurred in Anaheim will live on. For me, there were two big takeaways.
Machine learning continues to be touted as one of the most powerful tools to help quickly identify threats. In theory, this frees up time for cybersecurity professionals to focus on other tasks. However, some reports indicate that machine learning, when not approached properly, can create an unmanageable amount of false positive alerts, resulting in time and money wasted.