Signal fusion at the edge: At the time of registration and transaction, integrate device telemetry, IP reputation, phone and email checks, BIN and payment signals, geolocation anomalies, and behavioral fingerprints into a single, scored decision. By identifying linked accounts that share subtle signals (such as the same device fingerprint across multiple emails, overlapping payment rails, reused phone numbers, etc.), this lowers false positives.

Adaptive risk scoring: Make use of a multi-layer evaluation (feedback loop + ML model + fast rules). High-risk accounts are blocked, medium-risk accounts need verification, and low-risk accounts might experience friction (2FA). Platforms can downgrade or upgrade suspicion in response to emerging signals by means of continuous scoring.

Session & behavior analytics: Tracking in-game activities in real time, such as betting speed, stake patterns, and odd win/loss patterns, in order to identify coordinated play or “gnoming” (account rotation). Over time, behavioral models identify bots that mimic humans poorly.

Automated orchestration & response: Playbooks that escalate when human review is required and automatically apply mitigations (rate limits, device quarantine, progressive challenges) without human intervention. This is crucial because attackers specifically take advantage of a sluggish manual review window.

To stop deepfake and identity-first fraud, teams must combine transaction monitoring with an identity intelligence stack that operates at onboarding, session, and pre-authorization touchpoints:

Real-time identity enrichment (email / phone / IP / BIN / address): Validate whether contact details are disposable, VOIP, or anomalous for the claimed geography early clues that an identity is synthetic or tied to prior abuse. Goso Identity provides address, email, phone, IP, and BIN lookups and risk scoring to spot these signals before money moves.

Behavioral & device signals: Deepfake-enabled fraud is frequently preceded by device fingerprinting, geolocation irregularities, and unexpected changes in device/connection patterns. Correlating these with historical behavior reduces false positives and increases detection speed.

AML & watchlist screening plus relationship mapping: Screening customers and beneficial owners against sanctions/PEP lists and mapping entity relationships helps detect shell structures often used with synthetic identities. Goso Identity’s continuous AML screening and beneficial ownership analysis ensure checks are updated frequently.

Human-in-the-loop and adaptive rules: Employ machine learning that can adjust to new fraud trends and forward high-risk cases for prompt human review, particularly in situations where transaction context and identity signals conflict.

To implement the above principles, you’ll need a capable identity and fraud solution. A few must-have features:

Real-time risk scoring & decisioning

The ability to ingest signals (IP, email, device, BIN, phone, AML watchlist status) and return a risk score instantly.

Sanctions & PEP screening, globally

A powerful compliance engine that constantly verifies against discriminatory media lists, PEP, and international sanctions. In more than 230 countries, Goso Identity provides enterprise-level sanctions screening (OFAC, BIS, and HMT).

Modular, API-first architecture

As needed, you needs to be prepared to pull in identity/AML modules. Goso Identity provides a comprehensive fraud engine in addition to product-specific APIs for flexible integration (email lookup, IP lookup, address verification, phone lookup, and AML for individuals and businesses).

Cross-check & enrich data signals

Instead of depending only on document verification, the best platforms use a combination of data points (device fingerprint, email age, IP reputation, geolocation, and transaction history) to detect fraud more accurately. Goso Identity demonstrates what other solutions can’t accomplish by using more than 100 first-party signals.

Adaptive workflows & orchestration

Your system needs to adapt to the fluctuating risk levels. Goso Identity places a strong emphasis on integration, checks can be made at any stage of the systematic checking process.

Audit trails & compliance reporting

Record all decisions, appeals, and re-verifications so auditing and regulatory reporting are handled smoothly.

By integrating these features, Goso Identity reduces friction and helps crypto compliance platforms comply while also improving conversion. (We frequently observe high lead quality and fraud reductions of up to 95%.)