AWS waf documentation change
Summary
Added documentation for AI Traffic Analysis dashboard with panels showing bot identity, intent classification, access patterns, temporal analysis, and organization breakdown
Security assessment
The change documents monitoring capabilities for AI bot traffic analysis, which is a security feature but does not indicate resolution of a specific vulnerability. It enhances visibility into potential security threats but lacks evidence of addressing a concrete security issue.
Diff
diff --git a/waf/latest/developerguide/web-acl-dashboards-screenshots.md b/waf/latest/developerguide/web-acl-dashboards-screenshots.md index f366b18be..ea33eef59 100644 --- a//waf/latest/developerguide/web-acl-dashboards-screenshots.md +++ b//waf/latest/developerguide/web-acl-dashboards-screenshots.md @@ -30,0 +31,21 @@ The following screenshot depicts action counts for the Bot Control dashboard. Th +###### Example screen: **AI Traffic Analysis dashboard** dashboard action counts + +The following screenshot depicts the AI Traffic Analysis dashboard for a protection pack (web ACL). The dashboard shows AI bot activity over the selected time range with filters for bot organization, intent type, and verification status. + + + +The dashboard includes: + + * **Bot Identity panel** – Lists detected AI bots with names and organizations + + * **Intent Classification** – Categorizes bot purposes (crawling, indexing, research, etc.) + + * **Access Patterns** – Top URLs accessed by AI agents with request counts + + * **Temporal Analysis** – Hourly and daily activity trends with 14-day historical view + + * **Organization Breakdown** – Traffic volume by bot owner organization + + + +