Mitigate the complex fraud problem while maintaining the customer experience with Experian’s robust suite of identity protection and fraud-prevention solutions
Our cloud-based platform and workflow design allow you to apply the right data and fraud-mitigation tools with seamless orchestration while keeping pace with digital transformation.
Combine machine learning analytics with Experian’s proprietary and partner data to return a single optimal decision.
Leverage identity data, device intelligence, biometrics, behavior metrics, one-time passwords and document verification to confirm identities with increased confidence.
We facilitate connection to a vast array of new and emerging data sources to power fraud-mitigation results.
Ever-evolving solutions to manage identity verification with confidence even for identities that may have previously been compromised.
Complex identity and device risk evaluation and step-up authentication procedures for layered fraud risk management.
Our solutions provide a powerful fraud-detection platform, vast data resources, advanced analytics and synthetic identity fraud mitigation.
A fraud management solution is a system or series of systems that supports the detection, prevention, and management of fraud across user accounts and platforms. Working together, the pieces of the solution identify known identities and quarantine unknown or risky identities for further review.
Third-party fraud — generally known as identity theft — occurs when a malicious actor uses another person’s identifying information to open new accounts without the knowledge of the individual whose information is being used.
First-party fraud refers to instances when an individual makes a promise of future repayments in exchange for goods or services without the intent to repay. First-party fraud is often miscategorized as credit loss and written off as bad debt, which causes problems when businesses later try to determine how much they’ve lost to fraud versus credit risk, and then make future lending decisions.
Account takeover fraud is a form of identity theft that involves unauthorized access to a user’s online accounts to enable financial crimes.
Synthetic identity fraud occurs when a criminal creates a fictitious identity for the specific purpose of committing fraud. This may include blending stolen or misused Social Security numbers with fabricated information to create a new, fictitious identity.
Bust-out is characterized by multiple, sudden and simultaneous consumption of credit followed by widespread default across obligations — the fraudster disappears with no intent to repay.
Fraud-detection software is a solution that monitors, detects and prevents fraudulent activity. It may be leveraged by an organization to prevent identity theft or illicit access or to root out synthetic identities or first-party fraud.
Learn how a balanced approached can help your organization prevent lending fraud.
Explore the links between economic volatility and fraud trends, the risks business are facing, and more.
Explore the impacts of synthetic identity fraud and the right toolset can help identify and prevent it.
Learn about the different types of fraud that require different methods of detection and treatment
Learn about five fraud threats businesses may face in 2023 in this report.
Read how providers can better protect their patients.
Learn about better identity proofing to provide privacy and security in patient portals.
Learn how and why securing identities has moved up on the priority list.
Watch our analysis of important trends to watch and prepare for during a crisis.
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