Examine the trends for all the samples submitted to Advanced WildFire from your network (either NGFW or Prisma Access) based on the total number of threats identified and prevented (or allowed, based on policy), broken down by three prevention methods. The prevention methods correspond to the primary detection categories of Advanced WildFire, and includes: signature-based prevention, inline machine learning models, and inline cloud analysis for zero-day malware. This detailed view helps you understand not only the volume of threats being prevented but also the specific technologies providing that protection. You can dynamically adjust the time range at the top of the dashboard to analyze security trends over different intervals, giving you greater insight into your threat landscape and the effectiveness of your prevention capabilities.

• Hover over the data graphs to display statistics for the specified period.
• You can filter the Blocked And Allowed Malware widget based on a policy action of Blocked or Allowed.
• Only the Time Range global dashboard filter has an effect on the Prevention Statistics.
• Based on the selected Time Range, you will also see a data field indicating an increase or decrease of detected malware.