Prevención del fraude

Detén el fraude Antes de que te cueste dinero.

Every click is scored by our ML fraud engine in under 2ms — before the redirect fires. Device fingerprinting, IP reputation, behavioural analysis, and publisher risk scoring work together to block invalid traffic and protect every dollar of payout.

72–89%
Reducción de la tasa de fraude
<2ms
Puntuación por clic
200M+
Base de datos de IP marcadas
VPN / DC
Detección de proxy y datacenter
5-Layer Detection

Cada clic recibe una puntuación. Ningún clic pasa sin verificación.

Five independent detection layers run simultaneously on every click — each catching a different class of fraud. No single layer is a silver bullet; together they cover the full threat landscape.

  • Layer 1 — IP Reputation: 200M+ flagged proxies, VPNs, datacenters
  • Layer 2 — Device Fingerprinting: 40+ browser signals, canvas hash, WebGL
  • Layer 3 — Behavioural Analysis: velocity, referrer consistency, time-on-page
  • Layer 4 — Publisher Risk Score: historical fraud rate, payout anomalies
  • Capa 5 — Detección de anomalías ML en patrones de clics
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Traffic Quality — Last 24h
Tráfico limpio
82%
Sospechoso
11%
Bloqueado
7%
18,430 fraudulent clicks blocked today — saving $62,800
18,430
Clics bloqueados
$62,800
Ingresos protegidos
23
Publishers marcados
< 2ms
Velocidad de detección
Puntuación de fraude

Puntuación 0–100. Cada clic.

Each click receives a composite fraud score. You set the thresholds — we act instantly when they're crossed.

स्कोर 0–30: क्लीन

High-confidence legitimate traffic. Full conversion credit applied and payout processed normally.

स्कोर 31–69: समीक्षा

Suspicious signals detected. Clicks flagged for manual review or held from conversion credit pending investigation.

स्कोर 70–100: ब्लॉक

High-confidence fraud. Click blocked in real time, publisher flagged, event logged with full fingerprint for evidence.

पब्लिशर रिस्क स्कोर

Aggregate fraud rate, payout velocity, and traffic diversity rolled into a single publisher health score (0–100).

रोलिंग विंडो

Fraud thresholds calculated over 1h, 24h, and 7-day rolling windows to catch gradual fraud ramp-ups.

तुरंत अलर्ट

Slack, email, or webhook notification the moment a publisher crosses a fraud threshold you define.

Regras automatizadas

Reglas que actúan Antes de que te despiertes.

Define fraud thresholds once. AffClix monitors every publisher 24/7 and automatically pauses, flags, or suspends when limits are crossed — no human in the loop required.

  • Auto-pause when fraud rate exceeds your threshold
  • Withhold payout on flagged conversions
  • Notify account manager with full fraud evidence
  • Suspend publisher pending manual review
  • Whitelist trusted publishers from certain rules
ऑटोमेशन देखें
Example Fraud Rule
IFPublisher fraud rate exceeds15%in 7-day rolling window
ANDTotal clicks exceed50,000in same period
THENSuspend publisher + withhold payout + alert compliance team
Rule active — 6 publishers suspended, $84,200 in payouts protected this month
Resultados reales

Las redes ven resultados En 48 horas.

Average outcomes for AffClix customers after enabling full fraud protection.

72–89%

Reduction in fraud rate within 30 days of enabling all 5 detection layers.

$840K+

Average annual revenue saved per network through blocked fraudulent payouts.

48 hrs

Average time from setup to first fraudulent publisher automatically suspended.

99.2%

Clean traffic rate achieved by top-performing AffClix networks.

Protege tus ingresos

Deja de pagar por fraude.

Enable fraud protection in minutes. 14-day free trial with full access to all 5 detection layers, automated rules, and publisher risk scoring.

Lee nuestra Complete Fraud Prevention Guide 2025.

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