The Ultimate Fraud Detection Guide for Businesses to Reduce Financial Losses

By
Tarun Nazare
25 Sep
5 Mins

Digital financial fraud has caused staggering losses of Rs 1.25 lakh crore on Indian businesses and individuals over the past three years, with 2023 alone accounting for over Rs 10,000 crore. These figures point towards a growing threat to businesses’ stability, regardless of the size or industry.

While digitalization has revolutionized the finance industry, it has also created new vulnerabilities. Fraudsters constantly evolve, exploiting gaps in security to target organizations.

Effective fraud detection, therefore, is no longer optional — it’s critical for an organization’s sustainable survival. Continue reading to understand how you can use fraud detection and prevention tools to safeguard your business.

What is Fraud Detection?

Fraud detection is the systematic process of identifying and preventing frauds within systems, applications, transactions, and data. It aims to protect businesses from financial losses resulting from deceptions such as money laundering, identity theft, and cyberattacks.

This process uses a range of fraud detection and prevention tools and techniques. These tools monitor behavior, transactions, and activities, constantly searching for patterns that could indicate fraud. 

Industries such as Banking, Financial Services, and Insurance (BFSI), FinTech, healthcare, and government rely on these tools to minimize losses, maintain operational integrity, and ensure regulatory compliance.

Difference Between Fraud Detection and Prevention

While fraud detection focuses on detecting fraud in real-time, fraud prevention aims to stop fraud before it happens. Here are some major differences between the two:

Aspect Fraud Detection Fraud Prevention
Focus Identifies fraud in real-time or shortly after Stops fraud before it occurs
Approach Reactive; monitors and analyzes transactions, behaviors, and patterns to uncover anomalies Proactive; implements policies and preventative measures or tools to reduce risk
Components
  • Data collection and integration from multiple sources
  • Advanced analytics using statistics, Machine Learning (ML), and Artificial Intelligence (AI)
  • Rule-based systems to flag suspicious activities
  • Establishes pre-defined rules based on known patterns
  • Regular updates and refinements to keep pace with fraud tactics
  • Industry-specific strategies to prevent fraud

Types of Frauds

Below are some key fraud types common in the country:

  • Banking Fraud: Involves phishing, card skimming, and unauthorized online transactions.
  • UPI and Mobile Payment Fraud: Scammers use fake UPI apps or QR codes to steal money.
  • KYC and SIM Card Fraud: Fraudsters misuse fake KYC procedures or duplicate SIMs to access personal information and banking OTPs.
  • Credit and Debit Card Fraud: Card skimming and data theft lead to unauthorized purchases or withdrawals.
  • Investment and Ponzi Schemes: Fraudulent schemes promise high returns but collapse when new investments stop.
  • Insurance Fraud: False claims and forged policies exploit insurance systems for financial gain.
  • E-commerce and Return Fraud: Fraudsters abuse return policies by returning counterfeit or damaged goods.
  • Loan Fraud: Stolen identities are used to apply for loans, leaving victims liable for repayment.
  • Cyber and Social Media Fraud: Scammers impersonate individuals or businesses to trick victims into transferring money or sharing personal details.

How Fraud Detection Works

A robust fraud detection system integrates human oversight with technology and data analytics to detect and prevent frauds. Here’s what the general process looks like: 

1. Data Collection:

The first step involves gathering data such as transaction history, customer information, access logs, and more. It serves as the foundation for fraud detection.

2. Data Analysis:

Once collected, the data is analyzed using a combination of statistical methods and AI techniques:some text

  1. Statistical Analysis involves:
    1. Regression Analysis: Examines the relationship between different variables to identify trends and predict future outcomes.
    2. Data Matching: Compares data sets to identify inconsistencies or unusual patterns.
    3. Statistical Parameters: Calculates metrics like averages and probability distributions to identify anomalies.
  2. AI Techniques include:
    1. Data Mining: Identifies hidden patterns and correlations within large data sets, which may indicate fraudulent activity.
    2. Neural Networks: Complex algorithms that mimic human brain function, enabling the system to recognize patterns associated with fraud.
    3. ML: Uses historical data to train models that can predict and identify fraudulent behavior in real-time.

3. Pattern Recognition:

The system applies algorithms to detect patterns in the data that could indicate fraud or the beginnings of fraud. Common patterns include:

  • Unusual access time
  • Irregular account activity
  • Unusual transaction volume

4. Anomaly Detection:

Real-time systems continuously monitor transactions, flagging any deviations from established norms. Anomalies often signal potential fraud.

5. Alerts and Triggers:

When the system detects fraudulent activity, it generates alerts based on the severity of the threat. Depending on the risk level, it may automatically block transactions or require human intervention.

6. Case Management:

A case is created for investigation when fraud is detected. Analysts review these cases and take appropriate, pre-decided actions — such as suspending an account or contacting authorities.

7. Continuous Learning:

ML models must continuously be updated with new data and patterns to ensure they evolve with frauds.

8. Reporting and Compliance:

Fraud detection systems also generate reports that provide insights into the types of fraud detected and the effectiveness of prevention strategies. These reports are critical for regulatory compliance and auditing.

How Long Does Fraud Detection Take?

Let’s explore how long fraud detection typically takes, whether it happens in real-time or is caught after the fact. Understanding this timeline can help businesses plan their response and enhance their fraud prevention strategies.

Real-Time Fraud Detection

Real-time fraud detection techniques identify frauds shortly after they occur, leaving room for immediate responses, such as blocking transactions and contacting authorities. This approach is crucial in industries like financial services, FinTech, and e-commerce, where quick action can prevent financial losses.

However, real-time fraud detection is resource-intensive and complex. It requires continuous monitoring and sophisticated algorithms, which can lead to challenges like false positives — situations where legitimate transactions are flagged as fraudulent. This can inconvenience customers by triggering unnecessary security measures, such as multi-factor authentication (MFA).

Retrospective Fraud Detection

As the name suggests, retrospective fraud detection involves analyzing historical data (often from case management tools and fraud files) to identify patterns, anomalies, or loopholes that may have facilitated fraud.

While retrospective analysis provides the advantage of thorough examination and the opportunity to uncover root causes, it does not offer immediate protection. Fraud is identified after the fact, meaning the damage may already be done.

The most effective fraud prevention and detection strategy combines both real-time and retrospective methods. Together, they provide a comprehensive defense against fraud, balancing speed and accuracy with thoroughness.

Challenges to Fraud Detection

Companies face a number of challenges in combating fraud, including but not limited to:

Evolving Threat Landscape and Costs

Criminals continuously refine their strategies, employing sophisticated techniques like advanced persistent threats (APTs) and social engineering.

APTs are a complex and sustained cyberattack in which the intruder goes undetected to steal information. Social engineering involves manipulating people to perform actions they normally wouldn’t, for example, downloading a software they shouldn’t.

To manage these threats, organizations must constantly invest in new tools and expertise to keep pace, straining budget and resources.

Data Management and Technology Integration

The sheer volume and complexity of transactions demand real-time analysis of massive datasets, necessitating usage of advanced analytics and machine learning capabilities.

Updating the existing software to make sure it’s effective often requires complex integration with legacy systems, which is a resource-intensive process.

Balancing Security and User Experience

Stringent fraud prevention measures can introduce friction in user journey, potentially driving customers away.

Implementing adaptive security measures like behavioral biometrics can maintain strong security without compromising the customer experience.

Operational and Compliance Challenges

Companies must also navigate a complex web of regulations while maintaining effective fraud prevention, especially in cross-border challenges.

Using automated compliance solutions ensures businesses stay compliant with evolving regulations, reducing operational strain.

Benefits of Fraud Detection

Nearly 800 digital payment fraud cases are reported every day in India. In the previous fiscal year, 30,000 card and digital payment frauds worth around Rs 1,500 crore were reported. Fraud detection systems work to identify and prevent these frauds.

These systems are essential for minimizing financial losses and protecting the integrity of business operations. By proactively identifying and preventing frauds, they help maintain customer trust and protect  the company’s reputation.

Additionally, they ensure compliance with regulatory standards, reducing the risk of legal repercussions and/or financial penalties.

Fraud Detection Tools, A Guide

When choosing fraud detection tools, you can pick from traditional and advanced fraud detection systems, or a combination depending on your requirements:

Traditional Fraud Detection Systems

These systems rely on established methods to identify frauds, providing a foundational layer of protection against well-known threats.

Rule-based Systems

Rule-based systems function by applying predefined rules to monitor and evaluate incoming data, such as transactions. Each data point is checked against these rules, which are designed based on commonly known fraud patterns. 

When a transaction or activity doesn’t meet the set criteria, the system triggers an alert or takes action, such as notifying relevant parties. While effective for well-known fraud tactics, these systems may struggle with false positives and often fail to detect new or sophisticated techniques that don’t fit the established rules.

Anomaly Detection and Transaction Monitoring Systems

Anomaly detection assumes that fraud typically involves deviations from normal behavior. This approach focuses on identifying outliers in data streams collected from various sources, flagging any behavior that significantly deviates from a pre-defined baseline.

By continuously monitoring transactions, the system can quickly spot unusual patterns that may indicate fraudulent activity, offering a more dynamic defense compared to rule-based systems. 

Advanced Fraud Detection Systems

Advanced fraud detection leverages a mix of AI, ML, and big data analytics to identify and detect fraud in real time.

AI-ML-Based Systems

Fraud detection models based on AI and ML identify complex patterns and relationships in vast amounts of data — quickly and often accurately — better than traditional rule-based systems.

Plus, not only can ML models be trained on historical data, they can also learn from new data in real time.

AI-based systems can then make real-time decisions, like approving or declining transactions as they occur. Banks use these systems to identify account takeover, money laundering, and insider trading frauds.

Internal Fraud Prevention Systems

These systems are designed to protect organizations from threats that originate from within. They are integrated directly into a company’s infrastructure, focusing on monitoring internal activities to ensure that employees and systems adhere to security protocols.

Third-party Cloud-based Providers

Cloud-based service providers, like Neokred, offer scalable, and often more specialized fraud detection solutions. They utilize advanced technologies and vast datasets from multiple industries, offering real-time fraud detection and updates on emerging threats.

By outsourcing to them, organizations can enhance their fraud prevention capabilities without the need for extensive in-house resources, ensuring a broader and often more robust defense against external threats.

Fraud Detection Best Practices

By implementing the following best practices, organizations can significantly enhance their fraud prevention capabilities:

Create a Potential Fraud Risk Profile

  • Conduct a top-down risk assessment focusing on likely fraud areas and types.
  • Develop risk profiles based on industry-specific and organizational threats.
  • Use these profiles to define targeted fraud prevention and detection strategies.

Streamline KYC

  • Implement automated digital identity validation.
  • Strengthen due diligence procedures to verify customer authenticity.

Increase Organizational Awareness

  • Communicate fraud detection and prevention programs clearly to all employees.
  • Cultivate a culture of vigilance to mitigate internal fraud risks.

Integrate Fraud, Anti-money Laundering (AML), and Cybersecurity Operations

  • Break down departmental silos to improve coordination.
  • Leverage big data analytics for a unified approach to risk management.

Adopt a Continuous Improvement Cycle

  • Regularly review and update your fraud profile.
  • Incorporate industry changes and recent fraud cases into your strategy.

Methods for Enhancing Fraud Detection

Organizations can significantly improve their fraud detection capabilities by leveraging advanced technologies and data-driven approaches. Here’s how Neokred’s ProfileX employs cutting-edge methods to combat fraud:

  • Real-time Monitoring: ProfileX continuously scans transactions as they occur, using ML algorithms to identify anomalies instantly.
  • Network Analysis and Collaborative Intelligence: By analyzing relationships between users, merchants, and other entities, ProfileX uncovers hidden connections that may indicate fraud rings. Collaborative intelligence further enhances this by sharing insights across Neokred’s partner network to adapt quickly to emerging threats.
  • User Profiling: ProfileX builds comprehensive user profiles based on behavioral patterns, transaction history, and even social media presence. This enables a more accurate risk assessment and allows for the detection of subtle changes that might signal account takeover or identity theft.
  • Predictive Risk Scoring: Using advanced ML models, ProfileX assigns dynamic risk scores to each transaction. These scores consider a wide range of factors, allowing financial institutions to prioritize high-risk transactions for additional scrutiny or automated blocking.
  • Fraud Profiling: An up-to-date database of known fraud tactics and profiles is maintained by ProfileX. By cross-referencing user behavior against these patterns, the system can quickly flag potential risks, even if the specific fraud method is new to your organization.

Fraud Detection and Neokred

Effective fraud detection systems prevent financial losses, enhance operational integrity, and improve regulatory compliance, while strengthening customer confidence. But as financial fraud continues to evolve, so must your defenses.

Neokred’s ProfileX exemplifies the cutting-edge of fraud detection technology. By leveraging real-time monitoring, collaborative intelligence, and advanced user profiling, ProfileX provides a comprehensive solution that adapts to emerging threats while maintaining a frictionless user experience.

Explore how it can fortify your fraud detection strategy and schedule a demo to see its capabilities in action.

Conclusion

FAQs

How to choose the right fraud detection tool?

Choosing the right fraud detection tool requires a strategic approach. Start by assessing your organization’s specific needs, such as the types of fraud you're most vulnerable to and the volume of transactions you handle. Look for tools that offer key features like real-time detection, scalability, and adaptability to evolving threats. It's important to evaluate how well the technology integrates with your existing systems, as seen with Neokred’s API, which facilitates seamless integration. Additionally, user-friendliness is crucial for team adoption, and the tool should also provide comprehensive reporting and compliance features to meet regulatory requirements efficiently.

Who should be trained in anti-fraud measures?

Everyone in your firm should have basic anti-fraud awareness, but specific training must be given to employees in high-risk departments like finance, accounting, IT, and customer service.

How to prevent financial frauds?

Preventing financial fraud requires a multi-layered approach:

  1. Implementation of robust fraud detection tools
  2. Establishment of internal controls, such as segregation of duties and regular audits
  3. Education of employees on recognizing and reporting suspicious activities
  4. Enforcement of strict authentication measures like MFA
  5. Regular updation of your fraud prevention strategies to adapt to new and emerging threats
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23 Oct
5 Mins

KYC and AML Compliance: Key Differences and Best Practices

Understanding the differences between KYC and AML, best practices, consequences of poor KYC/AML, their screening process, and AML regulations

If the Indian economy has taught us one thing, it’s that Know Your Customer (KYC) alone isn’t enough to prevent financial scams. Illegal activities such as money laundering and terrorist financing are quite notorious in the banking and corporate sectors, which indicates a growing need to find a holistic way to prevent such activities.

Enter Anti-Money Laundering (AML) compliance, the answer to combating financial crimes. While KYC effectively verifies customers' identities and filters out bad players, a recent study showed that 70% of frauds have occurred even after completing KYC processes. This is where AML strengthens the KYC process and deters criminals even further. 

While both concepts are similar in objective, they have underlying differences. Let’s explore how KYC differs from AML and some of their best practices in fintech!

What is Know Your Customer (KYC)?

Know Your Customer refers to the mandatory process of verifying customers' identities. Organisations and financial institutions collect information about their customers in compliance with legal requirements for identity verification and risk assessment. As a critical component of anti-money laundering, KYC is primarily used to prevent financial crimes like fraud, identity theft, etc.

What is Anti-Money Laundering (AML)?

Anti-money laundering refers to the regulations and procedures organisations and financial institutions follow to detect and prevent financial crimes such as money laundering and terrorism. It involves performing extensive due diligence on customers, monitoring their transactions for suspicious activities, and reporting them if a crime is suspected. AML compliance is usually carried out to prevent illegal activities such as tax evasion, political corruption, money laundering, terrorist financing, etc. 

What is the Difference Between KYC and AML?

Know Your Customer and Anti-Money Laundering are legal requirements for businesses to protect against financial crimes. However, they differ in the following ways:

Know Your Customer Anti-Money Laundering
Purpose To verify customer identities and monitor financial behaviour. To detect and prevent money laundering or terrorist financing activities.
Process Involves collecting and verifying customer information such as their name, address, date of birth, documents, etc. Involves risk assessment, reporting, and legal controls over suspicious activities and transactions.
Risk Management Identifying and assessing risks. Mitigating risks associated with money laundering.
Approach Comprehensive, continuous, and follows a risk-based approach. Proactively measures all AML risks and implements holistic policies to reduce them.

Where and When are KYC and AML Required?

To prevent financial crimes, KYC and AML are required in various industries and circumstances. Following both are mandatory for all regulated entities, some of which include:

  • Financial institutions: Before onboarding new customers, assess risks and detect suspicious activity. 
  • Payment service providers: KYC and AML are done before opening digital wallets or activating digital transactions.
  • Cryptocurrency exchanges: Crypto and DeFi platforms implement KYC and AML before allowing users to trade or convert digital assets to prevent money laundering via cryptocurrencies.
  • Gambling and casinos: They are done upon player registration, during large transactions, and withdrawal of funds. 
  • Corporate entities: Large corporations and venture capital firms conduct KYC and AML checks during mergers, acquisitions, or major investments to ensure legitimacy and prevent illicit financial activities. 

What Does the AML Screening Process Look Like?

Organisations and financial institutions typically perform AML screening. They check potential customers against public lists to verify whether they are high-risk individuals or are involved with entities engaging in money laundering or terrorist financing. In other words, they analyse customer information and transactions to verify their legitimacy and identify suspicious behaviours. 

While conducting an AML screening process, you should be on the lookout for a few red flags like usual transactions, use of anonymous entities, unexplained wealth increase, large cash transactions, etc.

There are a few types of screening processes your business can conduct:

  • Sanctions screening: These lists are maintained by government agencies and contain information about individuals or entities deemed national security threats. These are individuals who are prohibited from certain financial dealings.
  • Politically Exposed Persons (PEP) Checks: Under this process, individuals who hold high-profile positions in government or politics may be more likely to engage in financial crimes such as bribery or corruption, making them high-risk individuals.
  • Adverse media sources: These sources include negative news stories that may be associated with the customer being verified. This check ensures that the individual does not portray the company negatively. 
  • Watchlist Screening: Companies check a customer’s information against specific databases containing data about known or suspected criminals. Watchlists are similar to sanction lists but are constantly updated and even employ real-time screening for adequate due diligence.

How does the KYC Process Work?

The KYC process can be carried out both offline and online. Regardless of the method, the following documents are essential:

  • Identification proof: These documents verify your identity. Examples include an Aadhar card, passport, driver’s license, or voter ID card.
  • Address proof: This is used to verify your current address. Utility bills, rental agreements, and even some ID proofs can be used to verify your address.
  • Income proof: A few entities may require proof of income to assess your financial status. Such documents include salary slips, income tax returns, or bank statements.
  • Photographs: One or two passport-size pictures are required as well.
  • Additional documents: Depending on the entity you’re opening an account with, a few more documents, such as a PAN card or business registration documents, might be needed.
  • Self-declaration form: In most cases, you’ll need to fill out and sign a self-declaration form confirming the accuracy of your KYC information, and they’ve been submitted in compliance with applicable laws. 

The KYC process is conducted in the following order:

  1. Collection of information: The applicants first submit their personal information. After which, they are required to fill out an online KYC registration form.
  2. Uploading of evidence: Once their information is collected, the applicants have to validate it with relevant documents. These serve as evidence to prove they are who they say they are. Neokred’s ProfileX takes this a step further with its secure verification feature that implements facial recognition technology to prevent identity frauds.
  3. Verification: Once the forms and relevant documents have been uploaded, they undergo multiple checks to ensure they haven’t been tampered with. The verification process may take time, and the applicants will receive a notification from the entity if their application has been approved. 

What are the Main AML Regulations?

AML regulations in India are primarily governed by the Prevention of Money Laundering Act (PMLA), which mandates businesses and financial institutions to implement robust measures to detect and prevent financial crimes. 

Between 2014 and 2024, the Enforcement Directorate (ED) registered over 5,200 money laundering cases, with 40 convictions and three acquittals. This indicates the threat money laundering poses to the Indian economy, which has led to the necessity of regulatory bodies enforcing AML regulations. 

The Reserve Bank of India (RBI), Securities and Exchange Board of India (SEBI), and Insurance Regulatory and Development Authority of India (IRDAI) are key regulators that have been integral towards the development of robust AML frameworks. More regulations anchored by the PLMA were implemented to address the rising number of financial crimes and safeguard the nation’s economic system:

  1. PML (Maintenance of Records) Rules, 2005: Requires reporting entities to maintain transaction records and submit those deemed suspicious to the Financial Intelligence Unit - India (FIU-IND).
  2. PML (Amendment) Act, 2009: Introduced the concept of “corresponding law enforcement agencies” where information about reporting entities could also be shared with foreign agencies.
  3. PML (Amendment) Act, 2012: Introduced the concept of politically exposed persons, expanded the scope of reporting entities to NPOs and lowered the threshold for identifying beneficial owners.
  4. PML (Amendment) Act, 2015: This was made to align Indian AML laws with international standards by introducing the concepts of “reporting financial institution” and “reporting authority.”
  5. PML (Maintenance of Records) Amendment Rules, 2023: This amendment aimed to bolster AML compliance efforts by widening the scope for reporting entities and customer due diligence requirements. It imposed stricter KYC norms for company secretaries and chartered accountants, including cryptocurrency and virtual digital asset transactions under AML norms. 

How Automation Improves KYC/AML Compliance

Automation has the power to streamline KYC and AML in the following ways:

Online Identity Verification

Businesses can automate KYC procedures and obtain customer identity data through online verification. The process begins with the user selecting their ID document type and uploading pictures. Once the KYC platform screens the documents, users are asked to send a photo of themselves holding the document to verify that they are real people. Biometric checks and facial authentications are done under automated KYCs to verify customers' identities.

For example, ProfileX makes digital identity verification easier with its top-of-the-line KYC API. The platform verifies customer identities in seconds with unparalleled accuracy and validates their information with automated document cross-checking with trusted sources.

Automated AML and Sanctions Screening

Automating AML and sanctions screening is also highly effective in reducing businesses' manual burden of conducting the verification processes themselves. Through automation, companies can build verification flows in compliance with AML/KYC regulations, maximising reliability and protecting them from financial crimes. PEP lists, sanctions lists, watchlists, and adverse media lists are a few sources that automation can use to screen customers for possible risks. 

Transaction Monitoring and Digital Wallets

KYC/AML automation facilitates real-time monitoring of customer transactions and detection of illegal or suspicious activities. Since many users also create digital wallets for online payments, automation tools can verify their identities and continuously monitor their transactions. 

Consequences of Poor AML & KYC Compliance

Here’s a brief overview of some of the consequences companies and financial institutions can face due to poor AML and KYC compliance:

Facilitating Criminal Activities Unknowingly

Poor AML and KYC policies can cause financial institutions to unknowingly facilitate illegal activities such as money laundering and terrorist financing on behalf of criminals. This can expose the entity to risks, so robust identity verification and monitoring procedures are required.

Regulatory Fines and Penalties

Did you know that the number of penalties imposed by the RBI on financial institutions grew 88% over the last three years? What’s worse is that AML and KYC non-compliances contributed to that growth. Regulatory bodies impose strict guidelines that companies must follow to maintain AML and KYC compliance. Failure to adhere to these guidelines will result in fines, sanctions, and legal penalties. 

Reputational Damage and Loss of Customer Confidence

Breaching AML and KYC compliance erodes customer trust and confidence in the entity. Adverse publicity, media scrutiny, and loss of loyal customers are common results of such compliance breaches, which can persuade customers to switch to competitors perceived as more trustworthy. 

Exposure to Greater Financial and Operational Risks

The consequences aren’t limited to the above three; there are more. The entities in question will become more vulnerable to financial scams. They will frequently be subjected to regulatory investigations and incur higher costs for remediation efforts. Loss of business partnerships and profitability are also long-term consequences they’ll have to face. 

Best Practices for KYC/AML in Banking, Crypto, and Fintech

Since banking, cryptocurrency, and the fintech industries are more vulnerable to financial fraud, here are some of the best KYC/AML practices that can be followed to mitigate such risks:

  • Ensuring compliance with AML laws: Properly complying with AML laws and regulations will prevent businesses from incurring hefty fines and penalties for non-compliance. It will also ensure that their reputation and customer loyalty are preserved.
  • Internal controls and audits: Businesses should conduct regular audits and reviews of their KYC/AML policies to ensure there are no weaknesses or loopholes that criminals can exploit to conduct illicit activities.
  • Verified users: Fraudsters use fake IDs and various sophisticated schemes to conduct fraud. Financial institutions should ensure that only verified users can become customers, which can reduce innovative fraud attacks.
  • Enhancing user experience: Financial institutions can optimise KYC/AML process workflows based on applicant risk profiles so they don’t have to pass extra checks. This motivates the customers to complete the process without dropping off in between, thus improving the overall user experience. Neokred makes this possible as the platform’s onboarding workflows ensure reduced customer drop-offs by 24%. 

Conclusion

To sum up, KYC and AML compliance share the same goal of preventing financial crimes. However, while KYC focuses on verifying customer identities, AML aims to detect and prevent illegal activities such as money laundering and other financial crimes. Understanding the key differences between KYC and AML and implementing their best practices will help you streamline and strengthen your compliance efforts. 

With Neokred’s KYC APIs, you can stay ahead of evolving regulations with constantly updated databases, real-time user identity and secure verifications, and more features that offer your customers a seamless onboarding experience. Contact us today to learn more about our KYC platform’s capabilities!

22 Oct
5 Mins

What is Auto Debit, and Why is it Important for Businesses?

Exploring how auto debit facility works, key RBI guidelines, e-mandates, benefits of autopay options, and how to initiate direct debits

Imagine never needing to chase payments or worry about late fees again. Customers often forget due dates for credit card bills or subscriptions, which can negatively impact your business’ cash flow. However, with auto debit, these issues are a thing of the past.

The volume of digital payments made across India have surged, with the total valuation rising from Rs. 2071 crore in FY18 to Rs. 13,462 crore in FY23. Auto debit transactions have been a key driver behind this and are used extensively for making seamless recurring payments. Curious about how auto debit works and why it’s essential for your business? Let’s explore!

What is Auto Debit?

Auto debit is a payment facility issued by debit/credit card providers where funds are deducted from your bank account on a recurring basis.

Whether it's loan repayments, subscription fees, or utility bills, this facility lets you automatically transfer funds on a fixed date every month or year. This is one of the most convenient and hassle-free payment forms as you do not have to worry about the strain of missed EMI’s and can ensure proper cash flows.

It also eliminates the administrative burden of issuing reminders and manually collecting payments.

How Does the Auto Debit Facility Work?

With auto debits, you give permission to a company to collect payments directly from your bank account. You activate the auto debit facility through your bank’s website or application. Once activated, you can set the standard instructions for payment. The payment deductions take place without One-Time Passwords (OTPs) on the scheduled date.

However, to avoid any payment interruptions or possible overdraft charges, you’ll need to ensure that your bank has sufficient balance for a successful transaction deducted automatically.

You can also adjust payment dates or set a maximum limit for debits, providing flexibility in managing your finances.

How Are Automatic Debit Payments Different From Bill Pay?

Feature Automatic Debit Payments Online Bill Pay
Initiation Initiated by the payee with authorization from the payer Initiated by the payer through the bank’s online platform
Process Funds are automatically withdrawn from the payer’s bank account on a preset recurring date Payer schedules the payments to be made to the specific payees, which can either be one-time or recurring payments
Manual Payment Option No manual payment option provided Manual payments can be made
Vendor Access to Bank Information Vendors have access to your bank account information Vendors do not have access to your bank account information
Flexibility Payers can modify payment dates and amounts Payers cannot modify payment dates or amounts, although there may be exceptions depending on the vendors or services

Be Cautious About Sharing Bank Account Information

When it comes to managing your bank account or conducting business or transactions with other entities, safety is typically a major concern.

In FY24, the Reserve Bank of India (RBI) reported bank frauds amounting to more than 139.3 billion Indian rupees. Thus, the importance of safeguarding your bank account information cannot be overstated. 

To safeguard your account, consider these steps before providing authorization:

Verify The Company

Before you provide your bank information, verifying the legitimacy of the entity you are dealing with is essential.

You can start by researching the company by checking out its website, reviews, and business registrations. Additionally, when sharing information with them online, look for secure data transmission, such as Secure Sockets Layer (SSL) certification.

Know Your Rights

You have the right to protect and decide how your financial information is used. Be aware of your rights under regulations like the Information Technology Act (IT Act) and the Digital Personal Data Protection Act (DPDPA). Neokred’s Blutic platform helps you stay ahead of the DPDPA act’s compliance requirements. You can seamlessly manage user consent lifecycles, build user trust with transparent data collection declaration, and get free guidance on data collection and retention plans. Your bank may also offer fraud protection services to safeguard your transactions.

Monitor Account Balances

Ensure you have enough balance in your account before authorizing payments. While some banks offer overdraft facilities, they usually come with significant fees. Similarly, if your account lacks sufficient funds, you may incur an NSF (Non-Sufficient Funds) fee. Regularly monitor your account balances to avoid these unnecessary charges.

Review Your Agreement and its Terms

Before authorizing a payment, read the fine print and understand all the terms and conditions related to recurring payments and how your bank account information will be used. It’s important to understand how you can stop payments or cancel agreements as well.

E-Mandates and Auto Debit Card Payments

E-mandate is a digital payment service introduced by the RBI and the National Payments Corporation of India (NCPI). It allows individuals and businesses to authorize recurring payments from bank accounts.

With e-mandates, customers and businesses can seamlessly manage recurring payments such as SIPs, loans, insurance premiums, etc. as this system eliminates the need for manual labor, paperwork, constant reminders, and late payment charges.

For automatic debit card payments, e-mandates allow you to link your debit card to a merchant and authorize them to deduct fixed or variable amounts of money on a recurring basis. The maximum limit for a transaction via debit card e-mandate is Rs. 15,000. For amounts above that, OTP authentication will be required. In this case, the maximum single transaction limit is Rs. 1 Lakh.

Key RBI Guidelines for Auto Debit Transactions

On October 1, 2021, the RBI announced new guidelines for auto debit transactions to control recurring payments made through debit cards, credit cards, and other prepaid methods. They were also established to ease transaction processes for customers and businesses and to protect them from online frauds.

Here are some key highlights to keep in mind:

Informing Customers in Advance

Banks are mandated to notify customers of recurring payments 24 hours before the due date. After receiving confirmation from the customer, banks can proceed with the transaction. 

Additional Factor Authentication for Transactions above Rs. 15,000

Additional Factor Authentication (AFA) adds an extra layer of security to prevent unauthorized users from accessing your accounts. Once customers receive a pre-debit alert from their banks for recurring payments above Rs. 15,000, they will have to approve the transaction through an AFA in the form of OTPs.

Customers have the option to complete transactions of higher amounts such as insurance premiums or education fees without the need for approval via OTP.

Implementing One-Time Registration

Under the new guidelines, customers are only required to register once, after which they can conduct recurring transactions without an AFA. They can also specify the amount and validity period for subsequent transactions during the registration process.

Providing Opt-Out Options

Customers now have the option to opt-out of any transaction. They are also allowed to view, modify or cancel auto debit payment transactions from their accounts if they cannot make a payment on time.

How to Initiate a Direct Debit from Your Bank Account?

Direct debit is a way of collecting recurring payments directly from your customer’s bank accounts and this form of payment collection is highly advised as it is efficient, cheaper, and offers you higher control in managing your cash flows.

Here’s how to get started:

Step 1: Contact Your Bank

The first step is to get in touch with your bank and let them know that you’d like to join the direct debit scheme.

By verifying a few factors such as your company’s administrative capabilities and financial situation, the bank will decide whether you are eligible to accept direct debits.

Step 2: Choose a Direct Debit Company

The next step is to pick a payment aggregator or a payment service provider to process the payments received. You can choose a suitable platform considering several factors such as pricing, scalability, software interface, ease of use, and customer service provided.

Integration with your accounting software is also another key feature to look into, which is where Neokred shines at - it streamlines payment processing and management giving you maximum convenience and security in the processes. 

Step 3: Get Direct Debit Mandates From Your Customers

Once you’re all set up with your bank and payment provider, you can start collecting payments from your customers.

However, before that, you’ll need to acquire a Direct Debit Instruction (DDI). This document, signed by the customer, authorizes you to collect payments from their bank and it will be valid until it is canceled.

What are the Benefits of Autopay Options?

Autopay options are highly convenient for customers as they can set up auto-payments for their rent, cable, mortgages, to name a few.

Based on the initial authorization and payment details issued by the customer, businesses can automatically charge their customers every month for the services they provide.

Similar to customers, businesses also benefit from automatic payments. See how:

Offers Maximum Time Savings

Manually collecting payments or sending frequent follow-ups to your customers can be cumbersome and time consuming for your Accounts Receivable team. But when payments are set on auto-pilot, the administrative burdens of your A/R team are significantly reduced.

Enhances Customer Satisfaction

Put yourself in the customer’s shoes—late fees and repeated follow-up calls for overdue payments can be frustrating. As a business owner, it’s important to recognize that constant reminders and late payment notices could strain your customer relationships. Auto-payments solve this issue by allowing customers to enter their payment details once and authorize future transactions, removing the hassle of missed payments.

Provides Consistent Revenue

When billing your customers on an automated basis, you consistently receive payments as per the predetermined billing date. That means no waiting around for your customers to make a payment or to send them a follow-up. Since these payments are processed immediately, your business is more liquid. You can fast-track payment processing further with Neokred’s intelligent scheduling that clears the queue of pending payments to avoid any delays.

Promotes Increased Spending

According to a study conducted by Duke University, it was found that both residential and commercial customers increased electricity usage after switching to auto-payments. Although this may seem strange and highly debatable, automatic payments could encourage customers to spend more, assuming they aren’t too concerned about how much they spend on a regular basis.

For example, if you have an OTT-based subscription service, your customers may be willing to upgrade to a higher tier so their family members or friends can also access it.

The Bottom Line

Auto debit simplifies payment processing, allowing businesses to focus on growth rather than chasing down invoices. Whether it’s subscriptions or regular bills, auto debit can keep your cash flow stable and reduce administrative headaches.

Neokred makes auto debits easier with multiple early payment options, automated payment reminders, and real-time payment confirmations. To know more about our platform’s capabilities, contact us today!

25 Sep
5 Mins

KYB Explained — A Comprehensive Business Verification Guide

With 4 out of 5 organizations reporting business identity theft, KYB ensures companies verify partners and prevent fraud. Learn how KYB safeguards your business.

Did you know that 4 out of 5 organizations globally have reported fraud in the form of business identity theft? This statistic comes from the collective responses of 705 professionals across various industries such as banking and healthcare.

As India undergoes a digital transformation in its business ecosystem, Know Your Customer (KYC) and Know Your Business (KYB) play crucial roles in preventing fraud and other illicit activities that threaten the economy.

If you are a business owner looking to enter into partnerships or deals with other companies, KYB is the solution to address your suspicions on whether the company you’re about to go into business with is legitimate or not. Ready to know more about KYB? Let’s dive in!

What is Know Your Business (KYB)?

Know Your Business (KYB) refers to the process of conducting a due diligence review of a business that a company is dealing with. Unlike how KYC (Know Your Customer) deals with the verification of individual customer identity, KYB is exclusive to businesses to verify their authenticity before onboarding them into potential dealings or partnerships.

The primary objective of KYB is to ensure that the entities in question are not involved in any fraudulent activities such as money laundering, corruption, or terrorist financing and they are screened against blacklists and sanction lists accordingly.

Know Your Business verifications are also mandated to be followed in compliance with national AML (Anti-Money Laundering) guidelines where due diligence is conducted to verify the legitimacy of business partners.

Who Needs KYB?

The KYB process is typically required by law for businesses involved in financial transactions or regulated industries. Here are a few examples of entities that might need KYB:

  1. Financial Institutions: Banks, credit unions, and other financial bodies need to verify their identities with corporate clients to comply with AML regulations.
  2. Payment Service Providers: Companies that offer e-wallets and payment gateways need to carry out KYB checks to ensure the legitimacy of businesses using their platforms.
  3. Cryptocurrency Exchanges: Crypto exchanges must conduct KYB checks to prevent any illicit activities that take place when buying, selling, or trading cryptocurrencies and other digital assets.
  4. Insurance Companies: Insurers are required to conduct a thorough business verification process to verify the identities of businesses when issuing policies or handling claims.

Differences Between KYB & KYC

The table below highlights the key differences between KYB and KYC.

Know Your Business (KYB) Know Your Customer (KYC)
Primary Focus Businesses Individual customers
Purpose Verifies a business’s legitimacy Verifies the customer’s identity
Documentation Business licenses, owner identity, articles of incorporation, etc. Personal ID, proof of address, etc.
Risk Assessment Focuses on the business’s financial stability and history Focuses on the individual’s transaction history, Politically Exposed Person (PEP) status, financial behavior, etc.
Complexity More complex due to multiple layers of business ownership and regulations Less complex as it deals with individuals
Monitoring Continuous monitoring is done to ensure regulatory compliance Regular updates and checks are conducted based on the individual’s activity and risk profile

Why is KYB Verification Important?

The global KYB market is projected to reach a valuation of about $712.87 million by 2023 from $263.54 million in 2022, reflecting a 13.28% CAGR. This market is rapidly growing, especially considering how common fraud has become. 

With that being said, here are some of the reasons why KYB is important for your business:

  1. Prevents Fraud: KYB can help keep your business away from fictitious or illegal entities. By verifying the identity and authenticity of the company and its owners, you ensure you’re entering into a commercial relationship that is legal and legitimate. 
  2. Ensures Compliance: In many countries, KYB is a legal requirement mandated by anti-money laundering norms. These regulations ensure KYB compliance by preventing illegal activities such as corruption, trafficking, money laundering, and terrorist financing.
  3. Builds Trust: Following proper KYB procedures maximizes trust in business relationships. Verifying the identity of a partnering company and its owners is pivotal to boosting confidence and trust. With increased trust comes more transparency and integrity in relationships.
  4. Protects Reputation: Entering into business with illegal or fictitious companies can severely damage your company’s reputation and finances. Hence, KYB can indirectly preserve your goodwill as it protects your business from dealing with fraudulent companies.

What is a KYB Solution?

A Know Your Business (KYB) solution is a software tool that is used to verify the identities of a business and its owner and assess the risks they may present to the company. However, business verification is not the only function of KYB solutions as now companies are looking to streamline the verification and onboarding processes through automation.

Hence, a KYB solution not only aims to ensure compliance with regulations in the verification process but also aims to remove the manual burdens involved in KYB.

Requirements for KYB Compliance

When establishing a relationship with a corporate customer, regulated companies must conduct due diligence procedures in accordance with AML regulations. Here are the requirements:

  1. Company Information: Information includes Name, registered number, registered office, board of directors, senior management, legal and beneficial owners, description of the company’s activities, etc.
  2. Company Documents: Documents include articles of association, proof of legal existence, proof of registered and physical address, documents detailing beneficial ownership structure, and audited financial statements.
  3. Identities of Beneficiaries: Documents include proof of identity, proof of address, declaration of trust, etc.
  4. Geographical Considerations: Checking the company’s compliance with local regulations and cross-border operations.
  5. Industry-specific Requirements: Includes regulatory filings , professional licenses of key personnel
  6. AML Screening: Involves performing a risk assessment of corporate customers and conducting ongoing monitoring of business relationships.

7 Steps for an Effective KYB Verification Check

Here are the seven steps companies can take to perform an effective Know Your Business verification:

Step 1: Collecting Business Information

Businesses start by collecting details such as company name, registration number, tax identification number, and address.

Once collected, they can use an API webhook to generate a KYB case from within their internal systems. The information collected is saved in their internal systems, making it easier for compliance teams to begin verification processes.

Step 2: Auto-verifying Registry Data Against Business Information

At this stage, compliance teams confirm if the collected information matches with the register by auto-validating the information obtained. They can cross-check with official government databases as well to confirm the company’s legitimacy.

Step 3: Assessing the Accuracy of Registry Information

Compliance teams manually add additional information regarding beneficial ownership obtained during the verification process and generate a comprehensive summary of the case. This promotes transparency and prevents hidden ownership risks.

Step 4: Getting Dynamic Risk Scores for the Company

KYB systems can offer real-time updates on changes in the risk profile of the corporate customer.

Once it receives an update, it alerts compliance teams to conduct an evaluation. The risk scores can also be used to further automate due diligence throughout the onboarding process thereafter.

Step 5: Conducting Sanctions and Watchlist Screening

Compliance teams screen the business and its owners against global sanction lists, criminal watchlists, and politically exposed persons (PEP) to ensure they aren’t involved in any criminal activities.

Step 6: Make the Decision on Whether to Onboard or Reject

Here, the final decision takes place where the business decides whether to onboard or reject based on the risk levels. 

Step 7: Perform Ongoing Monitoring

One thing to remember is that KYB is not a one-time process. Once the corporate customer is onboarded, they are subject to ongoing monitoring, which includes frequent reviews and monitoring of any changes in ownership, structure, or financial status that could impact their risk profile. 

The Importance of Automated KYB Verification Checks

Regulated companies are mandated to follow a robust KYB process that ensures compliance and risk management. However, traditional KYB methods can be cumbersome and time-consuming, with verification and onboarding taking days or weeks to complete. This can hamper customer experiences and even slow down business growth.

Automated KYB solutions help here by transforming the onboarding process, which is beneficial for businesses and compliance teams alike.

These solutions play the following roles:

Improving Accuracy and Reducing Human Error

Manual KYC checks are susceptible to human errors due to the risk of overlooking some key information that is important to assess a business’s risk profile.

And in AML compliance, such risks can have costly consequences such as compliance breaches, fines, and reputational damage.

Automated KYB systems have the ability to consolidate and cross-check information from multiple sources, ensuring ease of access and accuracy for your compliance teams.

Enhancing the Speed of KYB Verifications

Traditional KYB methods require manual verification of business information, which is time-consuming and can take days and even weeks. However, automated KYC solutions have the power to speed up the verification and onboarding of new businesses.

Such speed not only gives your clients a strong start but can also help you generate revenue more quickly and maintain a long-term business relationship.

Compliance teams also save plenty of time and can focus on other high-value tasks that need their attention.

Real-time Monitoring and Updates

Risk profiles of companies can change over time, potentially increasing non-compliance risks and threats of financial crime. This is where automated KYB solutions come in to conduct real-time monitoring of your clients to ensure they are complying with AML regulations. 

The solutions ensure that business information and risk profiles of your clients are accurate and thoroughly updated.

Through real-time monitoring, compliance leaders can also swiftly react to sudden or short-term changes in a business’ status or risk profile such as global sanctions, negative press, political exposure, etc. 

Get Started on Know Your Business (KYB) with Neokred

With frauds becoming more prevalent, mastering the concepts and processes involved in KYB is no longer an option—but a necessity. KYB is not just a regulatory requirement, but also a vital tool that protects yourself and your business from non-compliance risks and frauds.

If you’re wondering how you can streamline business identity verification and make it more simple, look no further. Neokred specializes in KYB and KYC. As your trusted partner, we ensure you stay ahead of regulatory norms while minimizing risk and maximizing growth. If you’d like to know more about our platform’s capabilities and services, contact us today!

Ready to take your customer experience and product to next level with Neokred