Add how to report true/false positives

Author: maxvp

src/content/docs/cloudflare-one/policies/data-loss-prevention/dlp-policies/logging-options.mdx

@@ -46,9 +46,22 @@ Data Loss Prevention will now store a portion of the payload for HTTP requests t
 You will see the [ID of the matched DLP Profile](/api/resources/zero_trust/subresources/dlp/subresources/profiles/methods/list/) followed by the decrypted payload.
 
 :::note
-Neither the key nor the decrypted payload will be stored by Cloudflare.
+Cloudflare does not store the key or the decrypted payload.
 :::
 
+### Report false and true positives to AI context analysis
+
+When you have [AI context analysis](/cloudflare-one/policies/data-loss-prevention/dlp-profiles/advanced-settings/#ai-context-analysis) turned on for a DLP profile, you can train the AI model to adjust its confident threshold by reporting false and true positives.
+
+To report a DLP match payload as a false or true positive:
+
+1. [Find and decrypt](#4-view-payload-logs) the payload log you want to report.
+2. In **Log details**, choose a detected context match.
+3. In **Context**, select the redacted match data.
+4. In **Match details**, choose whether you want to report the match as a false positive or a true positive.
+
+Based on your report, DLP's machine learning will adjust its confidence in future matches for the associated profile.
+
 ### Data privacy
 
 - All Cloudflare logs are encrypted at rest. Encrypting the payload content adds a second layer of encryption for the matched values that triggered a DLP rule.

src/content/docs/cloudflare-one/policies/data-loss-prevention/dlp-profiles/advanced-settings.mdx

@@ -29,7 +29,7 @@ AI context analysis uses machine learning to analyze and adjust the confidence i
 
 DLP submits the context as an AI text embedding vector to [Cloudflare Workers AI](/workers-ai/). Vectors are stored in a database bucket for up to six months, along with relevant metadata from the HTTP request including the URL, HTTP method, matching DLP profile, and Gateway request ID.
 
-To train the model, you need to report true and false positive in your [DLP logs](/cloudflare-one/policies/data-loss-prevention/dlp-policies/logging-options/).
+To train the model, you need to [report false and true positives](/cloudflare-one/policies/data-loss-prevention/dlp-policies/logging-options/#report-true-and-false-positive-to-ai-context-analysis) in your DLP payload logs.
 
 ## Confidence thresholds