Detect Synthetic Identities

Synthetic Identities Are Slipping Through. Are You Catching Them?

Synthetic identity fraud isn’t like traditional fraud.

There’s no stolen account to recover, no real person to report unauthorized charges. Fraudsters create entirely new identities, blending fake and real data to pass through verification systems undetected.

At first, they behave like ordinary customers. They open accounts, build credit, and make small purchases. But when the time is right, they disappear, maxing out lines of credit, leaving unpaid loans, and causing financial damage that can take months to uncover.

By the time businesses realize what’s happened, the fraudsters are long gone.

We expose synthetic identities before they slip through the cracks. AtData uncovers the subtle inconsistencies that traditional fraud filters overlook, stopping fraudsters before they can build credibility and cash out.

Myth vs. Reality: Understanding Synthetic Identity Fraud

Myth #1: Synthetic Identities Are Easy to Spot

• Reality: These identities aren’t outright fake. Fraudsters combine real data—like stolen Social Security numbers or email addresses—with fabricated details, making them hard to detect using traditional fraud filters.
• How AtData Helps: Email address intelligence looks beyond surface-level details, analyzing engagement history, domain reputation, and behavioral signals to spot inconsistencies before fraudsters establish credibility.

Myth #2: Synthetic Fraud Only Affects Financial Institutions

• Reality: While banks and lenders are prime targets, synthetic identities also impact retail, healthcare, insurance, and e-commerce, or anywhere fraudsters can open an account, apply for credit, or claim benefits.
• How AtData Helps: Risk scoring identifies high-risk email addresses used in synthetic identity schemes, flagging suspicious sign-ups across industries before they cause damage.

Myth #3: If an Email is Active, It Must Belong to a Real Person

• Reality: Fraudsters don’t just create fake emails, they cultivate them. Some synthetic identities have active, aged email addresses linked to fabricated personas, making them seem legitimate.
• How AtData Helps: Email activity tracking detects whether an address shows real engagement over time or follows suspicious patterns linked to synthetic fraud rings.

Myth #4: Synthetic Fraud Happens Overnight

• Reality: Unlike traditional fraud, synthetic identity schemes can take months or even years to unfold. Fraudsters slowly build credibility before executing large-scale financial attacks.
• How AtData Helps: Continuous email address intelligence and data monitoring keeps fraud detection proactive, catching evolving threats before they escalate into major losses.

How AtData Detects Synthetic Identities Before They Become a Problem

• Analyzes Email Address History

  Detects whether an email is newly created, frequently changing hands, or shows signs of manipulation.

• Assesses Domain Reputation

  Flags email providers often used for fraudulent activity, like disposable and temporary email services.

• Tracks Behavioral Patterns

  Identifies email addresses linked to unusual account sign-up patterns or suspicious engagement activity.

• Provides Real-Time Risk Scoring

  Assigns a fraud risk score to every email, helping businesses filter out synthetic identities before they get approved.

Stay Ahead of Synthetic Fraud Before It Costs You

Synthetic identity fraud isn’t an attack, it’s a long game. Fraudsters exploit weak identity checks, build false credibility, and disappear with stolen funds before businesses realize they were never real customers.

AtData helps you detect synthetic identities before they do damage, leveraging email address intelligence to identify risk early and keep fraudsters out.