Overview

Socure Portfolio Scrub is an advanced fraud‑and‑risk analytics solution designed to identify hidden compliance risks and fraudulent identities within an organization’s existing customer base. It uses AI‑driven matching, machine learning clustering of customer records, and deep identity intelligence to detect synthetic identities, third‑party fraud, account takeover risk, and data quality issues that may have bypassed initial onboarding defenses. Portfolio Scrub enables financial institutions and enterprises to strengthen regulatory compliance, improve customer data accuracy, and proactively mitigate financial crime within active portfolios.

Features and Capabilities

• **Identity Risk Detection: **Portfolio Scrub leverages advanced AI and machine learning to analyze customer portfolios and flag high‑risk identities, including synthetic identities and fraudulent entities that may be obscured in large datasets.
• **Industry‑Best Data Matching: **Combines proprietary identity data with highly vetted third‑party sources and thousands of variables to provide precise record matching and risk detection across accounts.
• **Synthetic Fraud Identification: **Pinpoints synthetic identities that could fuel financial crime such as money laundering, payment fraud, or trafficking, and supports efficient removal or mitigation of these risks.
• **Compliance Risk Prioritization: **Analyzes accounts to support periodic KYC updates, compliance workflows, and risk ratings, enabling organizations to prioritize remediation actions where risk is highest.
• **Machine Learning Clustering: **Clusters account records into risk‑level groupings to make it easier to identify patterns of fraud and compliance issues across an existing customer base.
• **Enhanced Risk Context: **Provides contextualized reason codes and risk scores to help teams understand why identities were flagged and determine next steps in mitigation or further investigation.
• **Seamless Integration: **Integrates with existing fraud prevention and identity verification systems to extend ongoing customer due diligence without disrupting core workflows.
• **Use Cases: **Strengthens regulatory compliance, improves KYC/CDD processes, detects account takeovers, finds identities of money mules, ensures accurate customer data, and supports portfolio standardization when migrating systems.