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6 Ways to Detect ID Fraud for Auto Dealers

How concerned are you about ID fraud prevention and detection? Every dealership has some level of fear about completing a transaction that turns out to be fraudulent. It’s a costly problem for your bottom line and reputation.

 

While online researching, shopping, and transactions have become commonplace for consumers, reports of identity-related fraud at car dealers are on the rise. Our identity fraud survey revealed that 79% of dealers reported such an incident, and the total cost to the industry was over $619 million.

 

Identity fraud will only become a more complex problem, which is why car dealership fraud prevention is critical. We’ve curated a list of six ways to protect your dealership.

Why ID Fraud Detection and Prevention Is Crucial for Auto Dealers

From financing scams to false identities, dealers  are increasingly in the cross-hairs of sophisticated fraudsters.  Why?  KYC non-compliance, over reliance on identity snapshots and less than advanced identity verification services make it easy for fraudsters to use stolen or fake identities.  Additionally, sales teams are in the business of selling cars – and most likely do not have the necessary experience and expertise to identify and adapt to rapidly changing fraud trends. The bad guys know this. They also know that most fraud investigations occur after the fraud has been committed, not before, so the chance of getting caught is low. 

 

ID fraud detection requires a layered approach involving technology, training and collaboration to protect your dealership and your customers from the risks associated with identity fraud.

Overlooking these fraud risks can lead to severe financial and reputational consequences.

Below are 6 essential components to consider as part a solid identity fraud protection and detection strategy

 

1. Embrace Technology to Enhance ID Fraud Detection Effectiveness

The sophistication of identity fraud scams has increased dramatically, driving the need for advanced identity proofing solutions. Simply put, photocopying ID’s and manually verifying identities is too slow and too inaccurate to rely on.

 

Let technology be your friend.  The right ID fraud detection technologies reduce customer frictions and are usually both faster and much more accurate than even the best-optimized manual methods can be.   Here are 6 solutions that can be used in combination to best protect your dealership from identity fraud risks:

Identity Document Authentication Solutions

Basic scanner solutions read and capture information, but they can’t detect sophisticated forgeries or altered IDs. In just a few seconds, advanced solutions forensically authenticate any version of any driver license or any other government-issued ID document from the United States and 160+ other countries.    

 

These solutions use high resolution scanners to  reveal hidden security features like watermarks, holograms, and UV-reactive ink that are invisible under normal light.  They also compare the data against official templates to detect anomalies in fonts, spacing, or design elements.

 

The sophistication and speed of these solutions make it a no-brainer.  This small investment should be a cornerstone of your dealership’s fraud protection strategy.  

Identity Verification Services

In addition to document authentication, identity verification services can flag information that, on the surface, seems true but is questionable. 

 

These solutions work by comparing the information provided by the applicant (e.g., name, address, date of birth, SS#,  phone, email, et) against a variety of government databases,  credit bureaus, public records and other trusted data sources to verify the applicants true identity and detect potential fraud.  For further protection, these same services cross-check names against watchlists, sanctions lists and identity theft databases. 

 

By identifying discrepancies or links to suspicious behavior in real-time, these identity verification services will significantly improve fraud detection rates and reduce the need for manual verification and investigation, saving time and resources and meeting regulatory obligations.

Al and Machine Learning Tools

AI-powered tools add another layer of protection from synthetic identity fraud risks. These machine learning tools, included with some identity verification database cross matching solutions, enable real-time data matching and analysis to compare the input data against the information in the databases to identify inconsistencies that could be indicators of synthetic fraud

 

  • Exact Matching: Ensures fields like SSN, driver’s license number, or passport number exactly match those in trusted sources.
  • Fuzzy Matching: Identifies slight variations in data, such as name misspellings or address formatting differences, which may still indicate a match.

 

The real-time data matching and analysis acts like a super-fast detective.  With lightning speed it checks  to ensure the information provided is accurate and legitimate.  Suspicious cases are flagged immediately, preventing potential fraud before it happens.

Fraud Scoring Systems

Fraud scoring systems are tools that assess the risk of fraud in real-time by assigning a fraud score to a transaction or identity. This score indicates how likely it is that the transaction or user is fraudulent. The system uses algorithms to look for patterns or red flags, such as:

 

  • Inconsistent information (e.g., mismatched address or fake ID).
  • High-risk behaviors (e.g., applying from a flagged IP address or using an unusual device).
  • Known fraud indicators (e.g., multiple transactions from the same identity in different locations).

 

Based on the analysis, the system generates a fraud score—a number or rating indicating the level of risk:

  • Low Risk: Information matches perfectly across databases, suggesting a legitimate identity.
  • Medium Risk: Minor discrepancies are detected, such as a slight address mismatch.
  • High Risk: Significant mismatches or data linked to fraud reports.

Think about fraud scoring systems like a traffic light for transactions: It can help you make an informed decision about moving forward with a customer.  Green (low score): Everything looks good—go ahead! Yellow (medium score): Something seems off—proceed with caution.

Red (high score): This could be fraud—stop and investigate!

 

These scoring systems help dealerships decide instantly whether to approve, review, or reject a transaction. This early warning reduces financial fraud risks while providing better customer experiences for legitimate customers who won’t be inconvenienced by unnecessary checks.

Location-Based or Device-Based Authentication Technologies

Location-based or device-based authentication technologies support identity verification by establishing a person’s proof of presence. They confirm that an individual is physically present and using a trusted device during the transaction.

Location-based authentication employs GPS signals from a user’s smartphone or device to pinpoint their real-time location. Device-based authentication ensures that the device or smartphone matches a trusted or expected profile.

Together, they help confirm who and where they are in real-time, making identity verification more secure and reliable. The technology adds layers of protection beyond OOW questions, passwords, or PINs, reducing the risk of fraud and protecting the integrity of the transaction.

2. Scrutinize Credit Reports for Unusual Occurrences or Patterns

Unusual activity or patterns in a credit report could be an indicator of synthetic fraud. Once someone is able to set up a synthetic identity, they may participate in “piggybacking” to set up a credit history from their fake identity.

 

Since parts of the fraudulent identity are true, it’s hard to defend against. Fragmentation of data across financial institutions and credit bureaus poses another challenge. Here are some common credit report discrepancies and red flags that might signal fraud risks:

 

    • A high number of recent credit inquiries: This would be unusual for legitimate borrowers:
    • Rapid account openings: Multiple credit accounts opened in a short period, often within days or weeks.
    • Few or no active accounts: Several accounts opened but no recent usage, or accounts are closed quickly after opening.
    • High credit limits on new accounts: Unusual for someone with little to no credit history.
    • Large balances with no payment history: Significant credit usage but no record of timely payments or repayment behavior.
    • Age and time on credit report mismatches: Older individuals with limited credit history or younger people with well established credit. 
  • Inconsistent personal information across accounts
  • Address mismatches: Accounts opened with PO boxes versus known residential addresses
  • Mismatched names: The name on the credit report doesn’t match the one provided during the transaction.
  • Multiple SS#s linked: One person’s credit file has multiple Social Security Numbers.
  • Unusual SS# patterns: SSN issued recently, but the individual claims to be much older.
  • No linked addresses: Lack of past addresses, indicating no prior credit activity.
  • Frequent address changes: Short-lived residence at multiple addresses, which may be used to obscure identity verification.
  • Fraud alerts or freezes: Fraud alerts placed on the credit file without clear justification, or previous instances of identity theft reported.
  • Unverified or fake employer: Employer details are vague or don’t check out.

 

These discrepancies can indicate that the individual’s identity is partially or entirely fabricated, making it difficult to hold them accountable for debt or financial obligations. Recognizing these red flags early helps prevent synthetic identity fraud from causing financial loss.

 

3. Formalize a Risk Management Escalation Process

A strong ID fraud prevention and detection strategy should include a formal process for addressing flagged cases.  A formalized, compliant fraud risk management escalation process  defines a pathway for handling these cases. It should include:

 

  • Designating who reviews flagged cases and the investigative steps to take
  • Outlining the additional checks to perform (e.g., secondary IDs, in-person verification)
  • Maintaining records of flagged cases and actions taken
  • How to address flagged individuals with clear and respectful communication
  • Updating your policy as you implement new technology and become aware of new schemes and ploys by fraudsters

 

By formalizing each of these elements, dealerships can efficiently handle suspicious buyers, stay compliant, and safeguard its operations. This approach not only prevents losses but also reinforces the dealership’s commitment to secure and responsible transactions.

 

4. Detect Abnormal Customer Behavior to Prevent Fraud

Discussing what would be abnormal to staff is another way to prevent fraud. There are certain red flags they should be aware of as a sign that the person may be acting fraudulently.

Red Flag: Customers Who Seem Impatient or Evasive

Purchasing a car is a significant event in the average person’s life. It might be a sign of something nefarious if they act otherwise.

 

Potential fraudsters tend to be on their phone throughout the purchasing process. It can seem like an annoying part of modern life, but this is different. Since they aren’t working alone, they’re in close contact with their partners.

 

They also generally won’t linger on the lot any longer than necessary. If your buyer doesn’t seem interested in the car’s features or abilities and just wants to drive it off the lot, you may be dealing with a malicious buyer. Follow your instincts and use additional identity verification.

Red Flag: Quick and Uncomplicated Sales Transactions

As a professional in your field, never ignore your gut instinct. If a sale seems much too easy, there’s likely a reason. Scenarios to look out for include:

 

  • Does your customer have excellent credit and an interest in financing 100% of the purchase price?
  • Do they accept the purchase price and quoted finance terms without hesitation and any negotiation?

 

These are potential red flag behaviors. If you feel uneasy, trust your instinct.

Red Flag: “I Know What I Want” Buyer

If a customer comes to your location and knows what car they want without looking around, it’s not an immediate reason to suspect ID fraud. However, note it and watch to see whether any other red flags come with their one-car devotion.

 

If a visitor plans to buy a car with someone else’s information, they’ve likely planned their purchase, including the vehicle they want.

 

Try talking to the customer about features they’re interested in or what they like about that particular car. If they seem vague or don’t have an answer, it might be worth wondering why they’re so fixated on one car.

 

These are potential red-flag behaviors. If you feel uneasy, it’s worth digging deeper and using multiple ways to verify. Sellers should immediately come to managers in these instances.

5. Invest in Identity Verification Procedure Training

To complement your ID fraud protection policy, you should also invest in verification procedure training for staff. Such education can include information on:

 

  • What synthetic fraud is and how it’s unique
  • How to use all identity verification technology and identity verification services
  • How to report ID fraud
  • Red flags that could be indicators of fraud
  • How to handle flagged cases

 

New employees should go through training during onboarding, with annual refresher sessions. Any changes to technology or procedures should be followed by updated training.

 

6. Foster a Dealership Culture Focused on ID Fraud Prevention and Detection

Make sure you know what suspicious behaviors and documents look like. Equally importantly, make sure everyone on your staff does, too. While you may or may not have a fraud prevention specialist on your team, the job should never be on only one person’s shoulders.

 

Your employees should have a basic working knowledge of how to detect fraud from the training they’ve received and the process documentation. They should also be aware of the tools and technology available for validating new customers and protecting your dealership against identity theft and fraud risks.  

 

By giving your employees and teammates the information and confidence they need to support their decisions when they’re wondering if they are dealing with a fraudster, you’ll stand a much better chance of identifying fraud before it happens. Having a system in place ensures safety for you, your business, and your customers.

 

Employ These 6 ID Fraud Prevention and Detection Strategies

Identity fraud is a growing and costly challenge for car dealerships. Fraud detection and prevention are not just about protecting your bottom line—they’re about safeguarding your reputation and building trust with your customers. Every step you take toward improving your fraud prevention strategy strengthens your ability to detect suspicious activity, protect your assets, and ensure a secure buying experience for legitimate customers.

 

The cost of ignoring these risks is far greater than the investment in prevention. Equip your team, embrace the technology, and prioritize fraud awareness. Together, these efforts will create a safer and more secure environment for your dealership to thrive.

About The Author
Pete brings 40+ years of experience in automotive finance and technology as Founder and CEO of eLEND Solutions™, an automotive FinTech company providing a middleware solution designed to power transactional digital retailing buying experiences. The platform specializes in hybrid credit report, identity verification, and ‘pre-desking’ solutions, accelerating end-to-end purchase experiences - helping dealers sell more cars! Faster! 

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