FraudShield · Module

Protect your promo budget from bonus abuse and multi-accounting.

Catch the rings, not just the obvious singles.

FraudShield catches organised abuse that IP-checks and fingerprinting miss. Works without touching player PII. Surfaces fraud rings, not just isolated flags.

How it fits your stack

The money problem

Bonus abuse is no longer hobbyist work. Organised groups run antidetect browsers, residential proxies, KYC-bypass packages and rotating fingerprint stacks at scale. The classic defences — IP block, device fingerprint, KYC checks — give an answer that's look-clean. The behaviour underneath isn't.

The result is a slow, invisible leak of promo budget: tens of thousands of euros per month, never showing up as a single dramatic event.

What changes for you

Rings caught, not just singles

Behavioural clustering surfaces organised groups instead of individual flagged accounts.

No PII required

Detection runs on play-pattern aggregates — no raw KYC documents, no personal data crossing into Arctura.

Antidetect-resistant

VPNs, residential proxies and fingerprint rotation don't change the underlying play behaviour.

Tunable thresholds

Your fraud team controls sensitivity per promo type — no black box.

For your tech team

How it works

FraudShield uses a behavioural-biometric encoder over play patterns: bet rhythm, session shape, stake distribution, deposit cadence, withdrawal timing. Vectors are clustered to surface groups that share a behavioural signature even when surface attributes (IP, device, doc) look clean.

The fraud team gets a ranked review queue: cluster → players → evidence → recommended action. Explainability is built in — each flag carries the behavioural reasoning trace.

"Behavioural detection layer on top of your existing fraud stack."

L3 — PAM / event stream connector
L4 — Aggregated behaviour read (no PII)
L1 — Behavioural encoder & clustering
L2 — Bonus abuse pattern rules
L1 — Audit / reasoning trace
L5 — Fraud review queue + recommended action

Proof / blueprint origin

Built on the production fraud-detection system we ran at PIN-UP / RedCore in 2024–2025 — behavioural encoder, cluster surfacing, explainable review queue, integrated with the operator's existing PAM and KYC pipelines.

What you get

  • Behavioural encoder trained on your play patterns
  • Cluster surfacing for organised abuse rings
  • Fraud team review queue with evidence + recommended action
  • Audit trail per decision for compliance reviews
  • Adapter to your PAM and existing KYC stack

Timeline

  • Week 1–2: Discovery — PAM access, behavioural data audit, current rule inventory.
  • Week 3–4: Encoder trained, baseline clustering against historical data.
  • Week 5–6: Shadow mode — Arctura surfaces clusters, your team reviews.
  • Week 7–8: Production rollout with thresholds tuned to your fraud team's bandwidth.
  • Ongoing: Continuous learning from confirmed cases.

What we need from you

  • Read access to PAM / event stream (aggregated behavioural data)
  • Historical confirmed-fraud labels (or shadow start if not available)
  • One fraud / payments lead as primary contact

Pricing

Design partner pricing on request. First-cohort economics, perpetual usage license.

How much is leaking right now?

30 minutes. We look at your last 90 days of promo spend and your fraud team's review queue and tell you where the leak is.

Or write: hello@arctura.eu