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: Analyzes entire customer portfolios using AI and machine learning to identify high-risk identities, including synthetic, stolen, or otherwise fraudulent accounts that may bypass traditional verification processes.
• Industry‑Best Data Matching: Leverages proprietary identity data combined with highly vetted third-party sources and thousands of variables to ensure accurate record matching and risk detection across large account datasets.
• Synthetic Fraud Identification: Detects synthetic identities and other sophisticated fraud schemes that can fuel financial crime, such as money laundering, payment fraud, or trafficking, and supports efficient remediation.
• Compliance Risk Prioritization: Evaluates accounts to support periodic KYC/CDD updates, compliance workflows, and risk scoring, enabling organizations to focus remediation efforts on the highest-risk accounts.
• Machine Learning Clustering: Organizes account records into risk-level groupings to reveal patterns of fraud, repeated abuse, or compliance gaps across a portfolio, simplifying detection and analysis.
• Enhanced Risk Context: Provides detailed reason codes, risk scores, and contextual insights to help teams understand why identities were flagged and determine appropriate next steps for investigation or mitigation.
• Seamless Integration: Integrates smoothly with existing fraud prevention, identity verification, and CRM systems, allowing ongoing portfolio monitoring without disrupting core business workflows.
• Use Cases: Supports regulatory compliance, improves KYC/CDD processes, detects account takeovers, identifies money mules, ensures accurate customer data, and assists with portfolio standardization during system migrations or audits.