Detect synthetic fraud early
Identify fabricated identities created from stolen or synthetic data before they exploit your systems, cause fraud losses, or compromise compliance programs.
Check for Synthetic Identity Fraud
WHY IT'S BETTER
Synthetic identity fraud is increasingly sophisticated and specifically engineered to bypass traditional background checks that rely on existing records without evaluating identity authenticity.
Detect inconsistencies and behavioral anomalies that indicate synthetic identities during onboarding before fraudulent accounts become active and before losses occur.
Apply consistent fraud detection across all onboarding workflows without requiring manual triage or review that cannot scale economically as transaction volume grows.
Eliminate rework caused by conflicting identity data, reduce time to hire through faster verification, and improve decision confidence with documented identity confirmation.
Maintain clean, reliable identity data across systems by resolving duplicates, correcting errors, and ensuring accurate records that support better compliance and operational outcomes.
Support complex data environments with high transaction volumes, multiple systems, and diverse identity sources while maintaining verification quality and compliance documentation.
A Structured Synthetic Fraud Detection Workflow
From signal analysis to action in four steps:
Collect Identity Inputs
Gather identity attributes and onboarding data including name, SSN, address, phone, email, device signals, and behavioral inputs through secure data collection.
Identify Risk Signals
Detect anomalies and inconsistencies that indicate fabricated identities by analyzing address history, credit file age, phone velocity, email patterns, and behavioral signals.
Flag High Risk Cases
High risk identities are flagged for review with documented fraud indicators, risk scores, and supporting evidence that enable informed decision making.
Prevent Fraud Impact
Block fraud before losses occur, protecting systems from exploitation, preserving data integrity, and preventing the downstream costs that fabricated identities create.
Stronger Identity Assurance with Compliance for Good™
Synthetic identity checks strengthen fraud prevention by detecting fabricated profiles that evade traditional screening, protecting operations and reducing financial exposure.
Trust & Compliance
Synthetic identity detection is built to protect against evolving fraud risks, supporting regulatory and operational confidence.
Yes, synthetic identities are specifically engineered to bypass traditional background checks and appear legitimate over time. Standard verification methods only confirm existing records without detecting fabricated identity patterns. Dedicated detection evaluates multi-signal inconsistencies and behavioral anomalies to identify synthetic fraud early.
Yes, early detection prevents fraud-related losses including fake expense claims, payroll fraud, and policy abuse. Synthetic identity fraud also creates significant downstream costs through investigation time and remediation efforts. Proactive screening protects revenue while reducing the operational burden on your fraud and compliance teams.
No, detection runs silently in the background while legitimate candidates progress through onboarding without delays or friction. Risk controls focus on behavioral signals and data inconsistencies rather than adding steps for users. Most candidates never know fraud screening is happening while bad actors are filtered out automatically.
Yes, synthetic fraud affects staffing agencies, gig platforms, telecom providers, subscription services, and any business granting access or value. Fraudulent identities exploit onboarding weaknesses across industries to abuse promotions, policies, and trust-based systems. Dedicated detection protects digital onboarding regardless of your sector or business model.
Yes, synthetic fraud checks identify fabricated identities before accounts become active and before losses occur. Early controls during account opening strengthen your first line of defense against fraud. Prevention at this stage protects revenue, reduces investigation burden, and maintains customer trust in your platform.
Basic fraud rules focus on single data points and miss the blended identity behaviors that define synthetic fraud. Synthetic identities are designed to evade simple threshold checks by appearing legitimate across individual signals. Dedicated detection evaluates multi-signal consistency and long-game patterns that reveal fabricated identities traditional rules cannot catch.
Detect synthetic identities early and reduce fraud exposure. Add this check to your screening process.
Run Synthetic Fraud Check