Modern fraud is no longer driven by a single suspicious transaction or stolen identity.
Today’s fraudsters build complete digital identities that combine email addresses, mobile phone numbers, websites, social media profiles, payment accounts, and sometimes business registrations. These identities are designed to appear legitimate during onboarding and often pass traditional verification checks.
While individual elements may be genuine, the behaviour and connections behind these identities can reveal hidden fraud risks.
AdviceRobo helps lenders, credit bureaus, fintechs, and digital platforms uncover behavioural and network-based risk signals through Digital Identity Intelligence, enabling earlier fraud detection and stronger onboarding decisions.
Fraud is evolving from isolated incidents to interconnected digital fraud networks. Analysis conducted by AdviceRobo identified a significant increase in fraud patterns linked to increasingly sophisticated digital identities.
Increase in fraud patterns involving linked email addresses and mobile phone numbers
Growing use of digitally constructed identities designed to appear legitimate
Fraudsters increasingly rely on domains, social media ads, and mule accounts
Fraud is evolving from isolated attempts to interconnected digital fraud ecosystems
Identify fraud risk before accounts are opened, loans are approved, or payments are processed.
Move beyond simple identity verification and uncover behavioural and network-based risk signals.
Generate transparent fraud risk insights that support compliance, governance, and human oversight.
Online purchase fraud continues to rise while fraudsters increasingly rely on interconnected digital identities and synthetic businesses
Online fraud is becoming more sophisticated. Fraudsters increasingly use professional-looking online stores, temporary domains, social media advertising, mule accounts, and linked digital identities that appear legitimate during onboarding. AdviceRobo helps organisations identify these risks through real-time behavioral analysis, digital footprint intelligence, and explainable AI.
