Detection
How visits are scored, classified, and linked to the person behind them.
- How detection worksPerson-based fraud detection: fingerprinting, identity clustering across IPs and devices, and the 150+ behavioural signals behind every threat score.
- Traffic classificationThe five traffic categories AdProtektor sorts every visit into — Real, Crawler, Bot, Competitor and Click Farm — and the finer states shown in the dashboard.
- Threat score and thresholdWhat the 0–100 threat score means, how the configurable threshold controls blocking, and when to move it.
- AI-powered detectionHow AdProtektor uses Google Gemini to analyse visitor behaviour, classify ambiguous traffic, and generate in-depth fraud reports.
- Session recordingReplay the sessions of flagged visitors to see exactly what happened, with plan-based retention and the privacy disclosure it requires.