Fraud intelligence

Stay ahead of fraud by identifying risk earlier

Combine identity data, device, email and phone intelligence to detect fraud in real time and apply step-up verification only when needed.

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Fraud Intelligence
80%
improvement in account takeover detection with device intelligence 
96% 
identity fraud detection accuracy through cross-industry network 

Multi-signal fraud intelligence

Uncover hidden risk 

Identify potential fraud early using passive device, email, phone and IP risk signals for real-time fraud detection without adding unnecessary friction. 

  • Recognize indicators such as device anomalies, suspicious IP activity, and inconsistencies across digital attributes
  • Evaluate risk without requiring customers to complete an additional verification step
Uncover Hidden Risk

Detect cross-industry fraud patterns

Use cross-industry fraud intelligence from GBG Trust to identify suspicious identity activity and connections that may not be visible in your customer data alone.

  • Identify repeated identity attributes, unusual submission patterns, and potential fraud activity across participating businesses
  • Use cross-industry intelligence to distinguish potentially suspicious identities from trusted ones
Cross Industry Fraud Patterns┬Á

Match friction to risk

Use fraud risk scoring to determine when customers can continue and when step-up verification is needed to establish greater confidence.

  • Allow lower-risk customers to progress through data verification without unnecessary additional checks
  • Introduce document and biometric verification or other supported checks when risk or compliance requirements warrant them.
Match Friction To Risk

Adapt to evolving fraud threats

Refine adaptive fraud controls, risk thresholds and verification journeys as fraud patterns, customer behavior and business requirements change.

  • Adjust journey rules to reflect changes in risk appetite or emerging threats
  • Configure different verification paths for specific customer industries or use cases
Adapt To Evolving Fraud Threats

How fraud intelligence works

Assess early risk

Use passive fraud detection signals and GBG Trust intelligence to identify risk.

Verify identity

Continue identity data verification using appropriate sources for a customer’s market and use case.

Step up when needed

Use document verification, biometric checks or digital identity methods for additional assurance.

Return an informed decision

Support approval, decline, or referral decisions, with flagged interactions available for review.

Why leading teams trust GBG

We wanted a seamless and passive way to verify our customers while also detecting real-time fraud attacks.

Ibrahim Nazirudeen, Head of Product Risk & Compliance

Currencies Direct

Fraud intelligence FAQs 

What identity fraud signals can businesses use for real-time fraud detection?
Identity fraud signals can help detect account takeover, SIM swap, call-forwarding and application fraud by assessing device, mobile, email and IP activity in real time.
How does cross-industry intelligence help identify fraud that individual businesses might miss?
Cross-industry intelligence provides a broader view of fraud trends and suspicious activity beyond one organization. It can reveal repeated identity attributes, unusual submission patterns and connections across participating businesses that may not be visible in internal customer data alone.
Can passive fraud detection reduce unnecessary customer verification?
Yes. Passive fraud detection assesses risk signals silently, allowing lower-risk customers to continue while identity, document or biometric step-up verification is used only when greater confidence is needed.

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Catch fraud before it impacts your business

Strengthen fraud prevention with deeper intelligence and earlier risk detection.