Authenticity Verification

In-Depth Definition

Authenticity verification combines work context, active and idle patterns, app usage, screenshot evidence, and suspicious pattern detection. It should surface reviewable signals with confidence and context instead of issuing automatic accusations. This keeps managers focused on data quality while reducing false positives.