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What is Synthetic Identity?

Synthetic Identity refers to a type of identity created by combining real and fabricated information to form a new, fake identity. It is commonly used in the context of identity fraud or cybersecurity. Unlike traditional identity theft, which involves stealing and using someone else’s identity, Synthetic Identity involves blending real data (such as a legitimate email) with fictitious details (like a fake name or address) to create a non-existent entity.

How A Synthetic Identity is Created

Use Real Data

Attackers often start with a piece of real information such as an email or a real address or phone number.

Add Fabricated Data

Combine real data with fake information such as a false date of birth or address.

Build Credibility

To make a Synthetic Identity seem legitimate, hackers may request access to basic resources or “piggyback” on another individual’s identity to build a history.

Use the Identity

Once established, the Synthetic Identity can be used for fraudulent purposes like gaining access to applications and sensitive data.

The Challenges a Synthetic Identity Creates for Identity Governance

Social Engineering Attacks Are Harder to Detect

Synthetic Identity can increase the effectiveness of phishing campaigns designed to affect an identity-related security data security breach.

No Real User Tied to the Identity

Since the identity is partially fabricated, there’s no person to notice unusual activity and report it.

Data Mismatch

Systems relying on partial identity verification (like emails or passwords alone) may fail to detect a Synthetic Identity.

Legitimacy Over Time

Fraudsters often build a Synthetic Identity’s credibility over months or years, making it appear legitimate.

How to Defend Against Unauthorized Synthetic Identity Activity

A Synthetic Identity poses significant challenges because it exploits vulnerabilities in identity verification and authentication processes. Here are defensive steps and organization can take:

Identity Proofing

Verifying and validating an individual’s identity to ensure they are who they claim to be mitigates the risk of unauthorized access through Synthetic Identity. Identity proofing establishes trust in granting user access to secure systems and sensitive resources.

Robust Security Controls

Synthetic Identities often pass systems that rely on basic identity checks. Incorporate multiple layers of verification, such as document scanning, biometric verification, and cross-referencing public records.

AI and Machine Learning Technology

IGA systems often rely on behavioral patterns to detect anomalies. Synthetic identities, being entirely fabricated, often mimic “normal” behavior in their lifecycle until fraudulent activities are initiated. Employ advanced anomaly detection tools that use Reactive and Agentic AI and machine learning to detect patterns indicative of synthetic identities.

Continuous Identity Monitoring

Malicious actors using synthetic identities can obtain credentials and access systems by creating fake accounts during onboarding. Continuously monitor identities even after onboarding to detect suspicious activities over time. Use identity proofing during account recovery processes to prevent fraud.

Zero Trust Security Model

Adopt a Zero Trust Architecture, where access is continuously verified based on the principle of “never trust, always verify.” Enforce least-privilege access to minimize the impact of Synthetic Identity exploitation.

Where to Learn More

Omada provides information about best practices for enabling automated, streamlined Identity Governance and Administration processes and explains how to create the foundation for secure, efficient, and user-friendly identity management. Learn more.

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