Traffic quality protection is included on every plan at no additional charge — no per-scan fees and no usage caps on the core protection module.
The two-part approach
- Known threats are blocked immediately from an active blocklist.
- New traffic is analyzed automatically several times daily, or whenever configured thresholds trigger a new scan.
Multi-AI analysis
New traffic is evaluated independently by three models — OpenAI, Anthropic and DeepSeek. Each produces its own anomaly findings, confidence weighting and evidence trail, and the results are combined into a single confidence-weighted risk score.
A threat flagged by multiple independent models is acted on faster and more reliably than any single-model system would manage.
These vendors are used as analysis providers. They do not officially partner with or endorse WhiteLabelDSP.com.
The protection workflow
Seven continuous steps, looping in real time:
- Traffic collected
- Blocklist check
- New traffic analysis
- Multi-AI review
- Risk validation
- Protection update
- Continuous monitoring
Blocklist updates feed back into the traffic filter, so the system gets better at catching what it has already seen.
An honest limitation
This does not guarantee 100% fraud prevention — no detection system can. Known threats are blocked immediately, new traffic is analyzed on an ongoing basis, and confidence-based actions reduce exposure over time.
Will it hurt valid traffic? The system is tuned to minimize false positives. Automatic actions only trigger above strict confidence thresholds that you control, borderline traffic goes to Review rather than Block, and every decision can be manually overridden or whitelisted. See What can be blocked, and the four action levels.