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USE CASE

Detecting synthetic identity fraud attacks

How INETCO BullzAI® catches synthetic identity fraud and deepfake attacks without blocking legitimate users

Detecting synthetic identity fraud attacks

What is synthetic identity fraud?

Synthetic identity fraud occurs when criminals create realistic fake identities using a combination of AI-generated deepfakes, digital backstories and stolen or fabricated personal data obtained from breaches, social media, phishing and other schemes. Synthetic IDs are used to pass KYC and AML checks, open mule accounts and build credit through cards, checking accounts and loans – with no intent to repay. With no real victim, red flags do not surface immediately. Fraudsters patiently build credit before executing a “bust out”- rapidly maxing out credit limits before disappearing.

Stop synthetic ID fraud "bust-outs" in real time

INETCO BullzAI monitors every payment interaction in real time to detect shifts in user, card or device behavior that signal synthetic identity fraud attacks emerging after account opening. Combine field-level transaction visibility with adaptive risk scoring to identify high risk accounts and suspicious activity – such as the same device or IP being used to manage multiple unrelated new accounts – before a “bust-out” can complete.

DETECT

Monitor the entire payment journey and analyze every message field in real-time to spot synthetic identity fraud signals and automated bot-driven behaviors such as DDoS attack distractions, rapid high-value transfers to new or unverified recipients, multiple small transactions below rule-based thresholds, similar spending patterns across accounts or the same device and IP address used to manage multiple accounts

 

PREVENT

Analyze user, card and device behavior in real time to detect and block payment activity that deviates from individualized long-term behavioral baselines, using AI-driven models and adaptive risk scores that update with every transaction to deliver a dynamic view of associated risk – before credit limits are maxed

SHIELD

Precisely block or rate-limit transaction activity at the user, device, terminal or card level that is consistent with synthetic identity “bust-out” or mule account behavior – including rapid increases in credit use, sudden spikes in transaction size or frequency, and a shift to high-risk merchant categories – in milliseconds

 

 

 

Disarm the hidden "time bomb" of synthentic identity fraud

Reduce credit risk exposure

Update risk scores with every transaction to instantly flag rapid line of credit use, spending velocity spikes and abnormal repayment behavior

Protect vulnerable customers

Extend detection beyond onboarding with continous behavioral monitoring to prevent blended identity abuse, account takeovers and piggybacking

Avoid regulatory risk

Meet compliance and expose synthetic identity fraud missed by traditional onboarding controls through real-time, know your transaction (KYT) monitoring

Block fraud before "bust-out"

Block fraud that evades rule-based thresholds with real-time visibility into transaction velocity and cross-account device and IP correlations

Exposing coordinated synthetic identity fraud

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Block synthetic ID fraud before the damage is done.

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