False Positive

When your scanning tools start generating false positives, the knowledge of how to identify and handle them often lives in recorded team meetings, onboarding walkthroughs, or troubleshooting sessions. Someone on your team has almost certainly explained the difference between a genuine violation and a false positive in a video call — but that explanation disappears into a recording folder that nobody revisits.

The problem with relying on video alone is that false positives tend to be contextual and recurring. A new team member encountering a flagged item at 2pm on a deadline day cannot efficiently scrub through a 45-minute recording to find the two-minute segment where a colleague explains why that specific pattern triggers an incorrect alert. The result is either wasted review time or, worse, a legitimate item getting dismissed because the reviewer lost confidence in the tool entirely.

Converting those recordings into structured, searchable documentation changes this dynamic. When your team documents known false positive patterns — pulled directly from real troubleshooting sessions and review meetings — anyone can search for the flagged content type and immediately find the documented exception with its reasoning. For example, a compliance reviewer can query "metadata field false positive" and land on a specific entry explaining why that flag is expected behavior, not a real violation.

This kind of accessible reference helps your team triage alerts faster and maintain consistent judgment across reviewers.