Scam vs Fraud: Is Your Fintech Losing Money Without Knowing?

We have delved into the critical differences between scams and fraud, highlighting their unique characteristics and implications for fintechs. We examined the various tactics used to exploit victims and identified common types of financial fraud. Furthermore, we discussed the challenges of tracing scammers, emphasizing the importance of proactive, AI-powered fraud detection systems for ensuring future financial security.
Picture of Ravi Sandepudi

Ravi Sandepudi

September 3, 2024

The FBI’s 2022 Internet Crime Report revealed a rising tide of fraud and scams, with losses exceeding $10.3 billion.

The financial repercussions of these deceptive practices are far-reaching, impacting both the business and the customers. As these numbers rise, the threats from scammers and fraudsters become increasingly complex and sophisticated.

The line between scam vs. fraud often blurs, creating confusion and leaving many vulnerable to sophisticated attacks. In this high-stakes environment, understanding the nuances of scams vs. fraud is critical for safeguarding your institution’s assets and maintaining customer trust. 

Let’s dive deeper into these deceptive practices and explore how you can protect your fintechs from becoming another statistic in this growing epidemic of financial crime.

Difference Between Scam and Fraud

Both scams and fraud refer to deceptive practices, but they involve different mechanisms and implications. 

Fraud involves intentional deception aimed at financial gain, often executed without the victim’s awareness. It typically entails illicit access to financial accounts or personal information.

In contrast, scams are a subset of fraud where the deceiver manipulates victims into willingly providing money or sensitive information. Scams often use social engineering techniques to exploit trust and vulnerabilities, requiring active participation from the victim.

To clarify these concepts, here’s a detailed comparison:

Aspect

Fraud

Scams

Victim Involvement

Victims are actively involved, often willingly providing information or money

Typically occurs without the victim’s knowledge or direct participation

Method of Deception

Relies on psychological manipulation and social engineering tactics

Often involves unauthorized access to accounts or information systems

Legal Classification

Generally considered misdemeanors or less severe offenses

Often classified as felonies with more serious legal consequences

Recovery Options

Limited recourse for victims, as they voluntarily participated

More established avenues for recovery, especially with credit card or financial fraud

Detection

Can be identified through awareness of common tactics

Often detected through monitoring of accounts or financial statements.

Scale of Operation

Can target individuals or small groups

May involve large-scale operations affecting multiple victims or institutions

For a better understanding of the difference between scam and fraud, here are some examples of tactics used by scammers and fraudsters:

Examples of Scams

Scams often rely on psychological manipulation, creating a sense of urgency, excitement, or fear to prompt victims into action. Here are a few examples:

  • Lottery or Prize Scams: Victims are told they’ve won a lottery or prize but must pay fees or taxes to claim their winnings.
  • Charity Scams: Fraudsters pose as legitimate charities, often targeting generous individuals after natural disasters or high-profile events.
  • Travel Scams: Scammers offer fake vacation packages or timeshares at incredibly low prices to lure victims.
  • Relatives Scams: Impersonating a friend or relative in distress, scammers ask for money to be wired immediately, claiming an urgent need.
  • Fake Antivirus Scams: Pop-ups or websites claim your device is infected and offer fake security software to “fix” the issue.
  • Social Media Quizzes: Seemingly harmless quizzes are designed to collect personal information for identity theft.

Examples of Fraud

Fraudsters frequently target institutions or systems rather than individuals, involving complex schemes or insider knowledge. Unlike scams, which rely on tricking individuals, these frauds often exploit vulnerabilities in financial or legal systems.

Some examples include:

  1. Digital Wallet Fraud

  • Account Takeover: Unauthorized access to digital wallet accounts can occur through phishing, data breaches, or malware, resulting in illegal transactions or withdrawals.
  • Phishing Scams: Deceptive emails or fake websites can trick users into revealing their digital wallet credentials, leading to unauthorized access and theft.
  1. Peer-to-Peer (P2P) Payment Scams

  • Misleading Transactions: Scammers can exploit P2P payment platforms by convincing users to send money for non-existent products or services, or by impersonating trusted contacts.
  • Counterfeit Payment Receipts: Fake receipts can be used to deceive sellers into shipping goods or providing services before actual payment is received.
  1. Cryptocurrency Fraud

  • Ponzi Schemes: Investment schemes that promise high returns on cryptocurrency often use new investors’ funds to pay earlier investors, eventually collapsing when new investments dry up.
  • Phishing for Wallet Credentials: Deceptive tactics to obtain users’ cryptocurrency wallet credentials can result in unauthorized access and theft of digital assets.
  1. Fake Investment Platforms

  • Rogue ICOs (Initial Coin Offerings): Fraudulent ICOs may be promoted with promises of high returns, but often these projects turn out to be scams, leaving investors with significant losses.
  • Unregulated Trading Platforms: Fake trading platforms can appear legitimate but may disappear with investors’ funds once a substantial amount has been invested.
  1. Mobile Payment Fraud

  • SIM Swapping: Gaining control of a victim’s phone number through SIM swapping allows for unauthorized access to mobile payment services and transactions.
  • Impersonated Apps: Fake versions of popular mobile payment apps can trick users into entering their personal information, leading to theft or unauthorized transactions.
  1. Data Breach

Stolen customer information from data breaches can be used to commit various types of fraud, including identity theft and unauthorized transactions.

As we learn the difference between fraud and scams, one type of fraud uniquely intersects both traditional fraud and scams:

Authorized Push Payment (APP) Fraud 

APP fraud is a sophisticated crime where individuals are tricked into authorizing payments to fraudsters. Unlike unauthorized transactions, APP fraud involves the victim willingly initiating the payment, making it harder to dispute. This necessitates innovative and proactive prevention strategies.

  1. Business email compromise: Criminals impersonate executives or trusted partners to request fraudulent transfers using compromised or spoofed email accounts.

  2. Romance scams: Scammers build trust with victims through online platforms, then fabricate financial distress stories to solicit money.

  3. Investment scams: Fraudsters promise high returns with little risk to persuade victims to transfer funds for non-existent investment opportunities.

Unlike unauthorized transactions, APP fraud often does not fit traditional liability frameworks, necessitating more innovative prevention strategies.

Fraud and Scams With Payment Methods 

Fraudsters and scammers exploit various payment methods to carry out their illicit activities. Each payment method presents its own vulnerabilities, requiring specific strategies for prevention and resolution.

Credit and debit cards

Fraud involving credit and debit cards remains a significant concern for fintechs. Common issues include:

  • Unauthorized Transactions: Fraudsters use stolen card information to make unauthorized purchases.
  • Card-Not-Present Fraud: This occurs during online transactions where physical cards are not required.
  • Counterfeit Cards: Created from stolen data, these cards are used for fraudulent activities.

To combat these threats, AI-driven fraud detection systems must be deployed for real-time monitoring of transactions.

Tokenization and encryption protect card details, while two-factor authentication adds security. Additionally, Visa and Mastercard’s dispute resolution mechanisms, including chargebacks, provide consumer protection, though the process can be complex.

Wires and ACH 

Push payment methods, such as wire transfers and Automated Clearing House (ACH) transactions, present distinct challenges:

  • Wire Transfers: These transactions are particularly susceptible to business email compromise (BEC) schemes. Fraudsters often infiltrate business email accounts to manipulate wire transfer instructions, leading to significant financial losses.
  • ACH Transactions: ACH transactions are prone to fraud through account takeovers. Criminals can gain unauthorized access to accounts, initiating fraudulent transfers that can be difficult to detect and recover.

It is important to educate customers about potential risks and their rights. Training employees and customers to recognize phishing attempts and other scams can reduce vulnerability.

Real-Time Payments

FedNow, Pix, Faster Payments, and other networks offer immediate settlement, which enhances convenience but introduces new fraud risks:

  • Detection Challenges: The speed of transactions and instant settlement make it difficult to detect and prevent fraud in real-time.
  • Recovery Difficulties: Tracing and recovering funds can be more challenging once funds are transferred.
  • Sophisticated Scams: The rapid transaction speed can be exploited by sophisticated fraud schemes.

In such complex cases, a multi-layered approach needs to be adopted to strengthen customer verification procedures. 

Additionally, it is vital to continuously update fraud prevention strategies to stay ahead of emerging threats. Collaborating with industry partners and regulatory bodies further enhances these efforts, ensuring a comprehensive and effective response to payment fraud and scams.

Protect your customers at every step of their journey with Effectiv's comprehensive solutions.

How to Protect Your Organization from Scams and Frauds

Effective protection involves understanding the legal frameworks, leveraging collaborative intelligence, and employing proactive measures. Here’s how to reinforce your defenses against these threats.

Legal Frameworks for Fraud and Scams 

Awareness of relevant legislation ensures compliance and reinforces protective measures. Two key pieces of legislation stand out:

1. Electronic Fund Transfer Act (EFTA)

The EFTA governs electronic funds transfers and provides important consumer protections. It limits consumer liability for unauthorized electronic transactions and requires clear disclosures regarding account terms and transaction details. U.S.-based fintechs offering payment services must ensure compliance with EFTA to protect consumers and avoid legal penalties.

2. Dodd-Frank Wall Street Reform and Consumer Protection Act

The Dodd-Frank Act, which includes the Consumer Financial Protection Act, establishes stringent consumer protection standards. Fintechs must comply with Dodd-Frank regulations, particularly when offering consumer financial products, to ensure they are not engaging in unfair or deceptive practices.

3. Gramm-Leach-Bliley Act (GLBA)

The GLBA mandates that financial institutions, including fintechs, implement safeguards to protect consumer data. The act requires institutions to provide clear privacy notices and ensure the security of sensitive personal information, making it a critical regulation for fintechs dealing with customer data.

4. Fair Credit Billing Act (FCBA)

The FCBA provides rigid consumer protections against fraudulent credit card transactions. It limits consumer liability for unauthorized charges and establishes procedures for addressing billing errors. 

5. Telephone Consumer Protection Act (TCPA)

The TCPA addresses scams conducted via phone calls and messages, including telemarketing fraud. It sets strict guidelines for commercial communications, helping to combat phone-based scams. 

Scam and Fraud Detection: Shared Intelligence

Fintechs, social networks, and law enforcement agencies must collaborate to create a united front against fraudsters. Sharing insights and data on emerging threats helps create a more comprehensive defense. 

Advanced data analytics platforms can process vast amounts of shared intelligence to identify patterns and anomalies indicative of fraud. This collaborative approach enhances the accuracy and speed of fraud detection, ultimately protecting consumers and organizations alike.

Proactive Measures

Prevention is always better than cure, especially when it comes to fraud and scams. 

Instituting rigorous security measures, such as multi-factor authentication and regular audits, forms the backbone of fraud prevention. Verifying the authenticity of communications and securing personal devices can significantly reduce their risk exposure.

Fintechs must also develop comprehensive educational programs that provide clear, actionable information on recognizing and reporting fraud for an informed customer base. 

These programs must include:

  • Real-world examples and case studies to illustrate potential threats
  • Interactive training modules to engage customers
  • Clear information on channels for reporting suspicious activities
  • Regularly updated educational materials to address emerging threats

AI and Machine Learning in Fraud Prevention

AI-powered platforms analyze data in real time to uncover subtle patterns of fraudulent behavior. They continuously evolve, adapting to fraudsters’ new tactics, ensuring that institutions are well-equipped to handle emerging threats.

Effectiv offers cutting-edge AI-powered platforms that empower fintechs with proactive fraud detection capabilities, enabling real-time risk mitigation and seamless customer experiences.

Our solutions leverage advanced machine learning models and network graph analytics to continuously monitor transaction data, identifying suspicious patterns and money laundering schemes before they can cause significant damage.

Effectiv's AI-powered platform can revolutionize your fraud prevention strategy.

Action Plan When Prevention Fails

Despite diligent efforts, fraud and scams can still affect even the most vigilant individuals and organizations. When preventive measures fall short, a well-organized response can mitigate damage and prevent further losses.

Here’s an effective action plan for addressing such situations:

Steps to Take After Falling Victim

  1. Engage with Affected Parties: Immediately contact customers or stakeholders impacted by the fraud. Freeze accounts or cancel cards to stop further unauthorized transactions. Provide clear communication and guidance to help them through the recovery process.

  2. Notify Law Enforcement: File a report with local or national law enforcement agencies. This creates an official record crucial for investigations and legal proceedings. For cyber fraud, involve specialized units like the FBI’s Internet Crime Complaint Center (IC3).

  3. Report to Regulatory and Consumer Protection Agencies: Submit detailed reports to regulatory bodies and agencies like the Federal Trade Commission (FTC). This helps track fraud trends and supports broader regulatory efforts to prevent financial crimes.

Long-Term Vigilance

  1. Enhance Monitoring and Response Systems: Deploy advanced real-time monitoring systems using AI and machine learning to detect and respond to suspicious activities swiftly. Regularly update detection algorithms to keep up with evolving fraud tactics.

  2. Support Recovery and Risk Management: Work with affected parties to resolve fraudulent transactions and recover losses. Keep thorough records of all actions taken. Engage legal counsel if needed, especially for complex recovery efforts.

  3. Strengthen Fraud Prevention Protocols: Reevaluate and refine fraud prevention strategies based on the experience. Enhance security measures, stay informed about new fraud techniques, and continuously educate staff. Collaborate with industry peers to improve overall fraud prevention practices.

How Effectiv Transformed Fraud Prevention for Cardless

Cardless, a leading fintech startup, offering virtual credit cards, was facing increased fraud risks as they grew rapidly. They turned to Effectiv for a solution to address these risks without disrupting their user experience. 

Adopting Effectiv’s AI-powered platform enabled real-time transaction monitoring and advanced machine learning, which enabled Cardless to prevent $78,000 in fraud within just two months. They also minimized false positives and made the fraud review process more efficient.

This case study provides additional tips for enhancing your fraud prevention efforts.

Empower your defenses with Effectiv's advanced fraud detection solutions.

Staying Ahead of Evolving Threats

Financial crimes are constantly evolving, presenting new challenges for both institutions and their customers. As we’ve seen, understanding the differences between fraud and scams is crucial, especially with emerging threats like Authorized Push Payment (APP) fraud becoming more prevalent.

Effectiv offers support in staying ahead of these challenges. Our platform provides real-time fraud detection, and leverages advanced machine learning to adapt to new threats. By integrating seamlessly with your existing systems, we ensure that your defenses are always up to date.

Don’t let evolving threats compromise your financial security. Take proactive steps to solidify your defenses against scams and fraud. Schedule a demo with Effectiv today and secure your financial future against evolving threats.

FAQs

1. What is the difference between a scam and a theft?

Scams and theft both result in financial loss but differ in execution and victim involvement. Scams manipulate victims into voluntarily giving money or information, often through deception or social engineering. Theft involves taking property or money without the owner’s consent and usually occurs without the victim’s knowledge.

2. What is the difference between fraud and con?

Fraud is any intentional deception for unlawful gain, often involving complex schemes targeting institutions or large groups. A con, or confidence trick, is a specific type of fraud where the perpetrator gains the victim’s trust to manipulate them into handing over money or information. Cons are typically more personal and rely heavily on psychological manipulation.

3. Is phishing a scam or online fraud?

Phishing is primarily a scam as it deceives victims into providing sensitive information through social engineering. However, it is also a form of online fraud, using digital channels to carry out deception and often leading to unauthorized access or identity theft. Fintechs should use email filtering systems and conduct phishing awareness training.

4. How do scammers get your money?

Scammers use various methods to obtain money, including authorized push payments, social engineering, fake investment schemes, impersonation, and malware. Fintechs should use AI-powered fraud detection systems to identify suspicious patterns and anomalies in real time.

5. What are the types of online financial fraud?

Common types of online financial fraud include account takeover, man-in-the-middle attacks, credential stuffing, synthetic identity fraud, and mobile software malware. Fintechs must implement multi-layered security measures, including advanced authentication methods and real-time transaction monitoring.

6. Can a scammer be traced?

Tracing scammers is challenging but possible through digital footprints, financial trails, and collaborative efforts with law enforcement. However, scammers often use techniques to obscure their tracks, emphasizing the need for proactive fraud prevention measures rather than relying solely on after-the-fact tracing.

More from Effectiv

Welcome to fintech's $51 million battle against third-party fraud. We're decoding sophisticated tactics ...
In this blog, we explore the escalating challenge of friendly fraud, which has ...
This blog uncovers the growing challenge of first-party fraud in banking, detailing sophisticated ...

More from Effectiv

Welcome to fintech's $51 million battle against third-party fraud. We're decoding sophisticated tactics ...
In this blog, we explore the escalating challenge of friendly fraud, which has ...
This blog uncovers the growing challenge of first-party fraud in banking, detailing sophisticated ...

Prevent Fraud In Real-Time & Safely Onboard Customers with One Platform