Channel Scoop – October 19, 2018

Sit back, relax and enjoy this week’s Channel Scoop.


  • The opportunity is here. Seize it. Fiscal year ’19 is under way and we are already in the home stretch for Q1. At the beginning of this quarter, Karl Soderlund stepped into his new role as SVP WW Channels. In the last few months he has met with numerous NextWave partners, distributors and our mutual customers around the world. He recorded a message for NextWave partners in which he shares the insight he gained from these meetings, the evolution taking place in the cybersecurity industry and the tremendous opportunity it creates for our mutual success. View the video message from Karl Soderlund.
  • Palo Alto Networks announces our new president. Amit K. Singh was named president, effective November 1, 2018. Singh succeeds Mark Anderson, who will move into an advisory role until May 1, 2019. Previously, Singh was the president of Google Cloud and, most recently, Google’s vice president of business and operations in emerging computing platforms, including augmented and virtual reality. He established and helped scale the Google Cloud business, leading several thousand people and growing it into a multibillion-dollar business. Read more.
  • The RedLock acquisition is complete. Palo Alto Networks will combine the Evident and RedLock technologies to provide customers with cloud security analytics, advanced threat detection, continuous security, and compliance monitoring in a single offering anticipated early next year. Read more.
  • The Gartner Magic Quadrant campaign for partners is available. Gartner’s Magic Quadrant for Enterprise Network Firewalls report provides a comprehensive overview of the market, including research and key players. Share the report with your customers using the toolkits included in this campaign package.
  • Detecting malicious campaigns with machine learning. Unit 42 is always working to find new ways to protect customers and prevent successful attacks, and one recent addition to our research arsenal is the use of unsupervised machine learning on large datasets of domain information. This blog post gives some details and examples of how they are using this unsupervised machine learning. Specifically, in one recent phishing campaign, they found 333 active domains. Read more.

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