What is Transaction Monitoring (TM) in AML? Transaction Monitoring Guide

Transaction monitoring is critical to any financial institution's anti-money laundering efforts. Institutions can effectively detect and prevent fraudulent and illegal financial transactions by analyzing and tracking customer transactions for suspicious activity. This comprehensive guide provides financial institutions with the tools and strategies to implement transaction monitoring systems effectively. 

Scope of AML Transaction Monitoring 

Transaction monitoring’s scope of gathering and analyzing data from diverse sources, such as bank accounts, credit cards, wire transfers, and online transactions. This data is then analyzed for red flags, such as large or unusual transactions, frequent transfers, or transactions involving high-risk countries or individuals. Suspicious activities are flagged for further investigation by compliance professionals or law enforcement agencies.

The Role of AML Transaction Monitoring 

The role of a transaction monitoring system is crucial in today's financial world. This system analyzes and detects suspicious activities or transactions that could indicate money laundering, fraud, or other illegal activities. 

By continuously monitoring transactions in real-time, this system can help financial institutions identify and prevent any illicit activities before they have a chance to occur. The system can flag any unusual or high-risk transactions that require further investigation by setting up specific rules and alerts. 

Also, transaction monitoring systems are crucial in regulatory compliance by ensuring financial institutions adhere to anti-money laundering (AML) regulations and other financial laws. By providing a detailed overview of all transactions, these systems make it easier for institutions to report suspicious activities to regulatory authorities. 

Why Is AML Transaction Monitoring Important?  

Transaction monitoring is a crucial process that helps financial institutions comply with legal requirements, particularly AML regulations. It involves monitoring transactions in real-time to detect any suspicious activities, which can then be reported to regulatory authorities. This helps in combating financial crimes and maintaining the integrity of the financial system. 

Transaction monitoring is vital for financial institutions to protect their reputation and maintain customer trust. By detecting and preventing fraudulent activities, institutions can ensure a secure banking environment and safeguard their customers' assets. It helps build customer loyalty and confidence in the institution's ability to protect their financial interests. 

Furthermore, transaction monitoring assists financial institutions in identifying potential risks in their systems and processes. By analyzing transaction patterns and identifying any unusual or high-risk activities, institutions can strengthen their compliance and enhance their risk management strategies. 

How Does AML Transaction Monitoring Work?  

A transaction monitoring process is a systematic approach used by financial institutions and other organizations to scrutinize transactions executed by their clients or through their systems, either in real-time or periodically. This process involves steps designed to analyze, detect, and report suspicious activities that may indicate potential financial crimes, such as money laundering or terrorist financing.  

Step #1 Conducting a Comprehensive Risk Assessment

The first step in the transaction monitoring process involves conducting a comprehensive risk assessment. This is where the financial institution evaluates its exposure to potential money laundering and terrorist financing risks. By analyzing customer profiles, transaction patterns, and the nature of the products and services offered, the institution can identify areas of high risk that require closer monitoring. This assessment forms the foundation of the monitoring strategy, ensuring that resources are allocated effectively to mitigate the identified risks. 

Step #2 Identifying Indicators of Suspicious Behavior

After completing the risk assessment process, the next crucial step involves pinpointing specific indicators of suspicious behavior that may warrant further scrutiny. These indicators may encompass a wide range of factors, such as abnormal transaction patterns, transactions involving high-risk countries or individuals, and any other red flags that could suggest potential illicit activities, prompting enhanced monitoring and investigation. 

Step #3 Establishing AML Transaction Monitoring Rules

Financial institutions are mandated to establish comprehensive and stringent AML transaction monitoring rules aligned with regulatory obligations and industry best practices. These rules serve as guidelines for monitoring transactions and play a pivotal role in detecting any deviations or anomalies from typical transaction patterns that may indicate potential money laundering activities. 

Step #4 Implementing Transaction Monitoring Rules and Alerts

Subsequently, the meticulously crafted AML transaction monitoring rules are incorporated into the institution's monitoring system to facilitate automated detection and flagging of potentially suspicious activities. The system generates alerts for transactions that meet specific pre-defined criteria, serving as early warning signals for compliance personnel to conduct further investigations and due diligence. 

Step #5 Continuously Optimizing Monitoring Rules for Effectiveness

To ensure the efficacy of the transaction monitoring process, financial institutions must consistently review and refine them monitoring rules. This ongoing optimization could involve adjusting thresholds, updating rules in response to new regulatory requirements, or integrating insights gained from previous investigations to enhance the accuracy of alert generation and reduce false positives. 

Step #6 Create Cases and Perform Investigations

Post alert generation, compliance personnel are tasked with creating detailed cases to document transaction specifics and conduct thorough investigations into flagged suspicious activities. This investigative process may entail gathering additional information, conducting interviews with clients or staff members, and evaluating the evidence to determine the necessity of escalating the case for further reporting to regulatory authorities. 

Step #7 Reporting Suspicious Activities: Filing SARs

Upon confirming the suspicion of illicit or fraudulent activities, financial institutions are obligated to file a Suspicious Activity Report (SAR) with the relevant regulatory bodies. SARs provide crucial information to law enforcement agencies, facilitating further investigation and potential prosecution of financial crimes, thereby contributing to maintaining the integrity and security of the financial system. 

Step #8 Ensuring Ongoing Maintenance of the AML Monitoring System

Lastly, it is imperative for financial institutions to proactively maintain and monitor their AML transaction monitoring system to ensure its continued relevance and effectiveness. This involves conducting periodic reviews, performing internal audits, and providing staff with regular training to uphold compliance with evolving regulatory mandates and industry standards, thereby fortifying the institution's AML compliance framework. 

Types of AML Transaction Monitoring 

Businesses and financial institutions can use several transaction monitoring methods to detect and prevent fraud, money laundering, and other financial crimes. These methods vary in complexity, automation, and effectiveness based on the institution's requirements. Some common types of transaction monitoring include: 

1. Rule-based monitoring: It involves setting up pre-defined rules and thresholds that trigger alerts when transactions meet specific criteria. These rules can be based on transaction amount, frequency, location, or other factors that indicate potential risks.  
   • For example, a bank may implement rule-based monitoring to detect suspicious activity on a customer's account. If a transaction exceeds a certain dollar amount, occurs in a location far away from the customer's usual spending patterns, or occurs at an unusual time of day, an alert is triggered for further investigation by the bank's security team. This proactive approach allows the bank to quickly identify and address potential fraud or theft before it causes significant harm to the customer or the institution. 
2. Statistical monitoring: Statistical monitoring uses mathematical models and algorithms to analyze transaction data and identify patterns or abnormalities that may indicate fraudulent behavior. This method is more advanced than rule-based monitoring and can adapt to changing trends and patterns.  
   • For example, a credit card company may utilize statistical monitoring to detect unusual spending patterns on a customer's account. By analyzing their transaction history and comparing it to established spending behavior, the system can identify outliers or anomalies that suggest fraudulent activity. This advanced approach allows the company to respond quickly to emerging threats and stay ahead of evolving fraud tactics in real-time.  
3. Behavioral monitoring: Behavioral monitoring focuses on analyzing the behavior of individual customers or entities to detect deviations from their usual activity patterns. Businesses can identify unusual or suspicious transactions that may indicate fraud or money laundering by creating a baseline of normal behavior for each customer.  
   • For instance, a cybersecurity firm may implement behavioral monitoring to detect potential insider threats within a company. By analyzing employees' typical patterns of accessing sensitive data or systems, the system can flag any unusual behavior, such as accessing files at odd hours or attempting to download large amounts of data in a brief period of time. This method allows the firm to proactively address suspicious activities and prevent data breaches or unauthorized access before they escalate into major security incidents.> 
4. Machine learning-based monitoring: Algorithms can analyze transaction data and learn from past transactions to detect patterns and anomalies. Machine learning models can adapt and improve with time, making them highly effective in detecting complex fraud schemes that may go unnoticed by other monitoring methods. This type of monitoring requires a significant amount of data and computational resources, but it can provide more accurate and timely results.  
   • For example, an e-commerce platform may leverage machine learning-based monitoring to identify fraudulent activities among its customers. By analyzing vast amounts of transaction data and learning from historical patterns, the system can detect subtle signs of fraud that may not be apparent to human analysts or traditional rule-based systems. These advanced algorithms continuously refine their understanding of fraud indicators, allowing the platform to proactively prevent fraudulent transactions and protect both customers and the business from financial losses. 
5. Network monitoring: It involves analyzing the connections between different entities within a financial network to uncover potential illicit activities. Network monitoring can identify suspicious transactions that may be part of a broader money laundering or fraud scheme by examining the flow of funds between accounts, banks, and other financial institutions. 
   • For instance, a government agency may utilize network monitoring to track down money laundering activities within a global financial network. By analyzing the intricate connections between various entities and scrutinizing the flow of funds across multiple accounts and institutions, the system can pinpoint suspicious transactions that are potentially linked to illicit activities such as drug trafficking or terrorist financing. This method enables authorities to uncover complex financial crimes and dismantle criminal networks by following the money trail and disrupting illegal operations at a systemic level.  
6. Real-time monitoring: Real-time monitoring involves analyzing transactions as they occur in real-time to identify and respond to suspicious activities quickly. This type of monitoring is critical for finding and preventing fraud before it can cause substantial financial losses.  
   • For example, a payment processing company may implement real-time monitoring to detect fraudulent transactions and protect its customers from financial losses. By continuously analyzing transaction data as it flows through the system, the monitoring platform can instantly flag any suspicious activities, such as unauthorized purchases or unusual spending patterns. This rapid detection and response capability enables the company to block fraudulent transactions in real-time, mitigate potential risks, and safeguard both the customer's and the company's financial interests.

What Does Transaction Monitoring Detect?  

AML transaction monitoring plays a vital role in detecting a wide range of financial crimes and illicit activities that threaten the integrity of the economic system. Financial institutions can effectively prevent and combat various forms of illegal behavior by analyzing transaction data and identifying suspicious patterns. Here is an overview of what AML transaction monitoring can detect: 

Who Needs AML Transaction Monitoring?  

Transaction monitoring is crucial for various financial institutions and businesses to detect and prevent illegal activities, comply with regulations, and safeguard against financial crimes.  

• Banks: 

Financial institutions like banks are critical players in combating and preventing money laundering, fraud, and other financial crimes. Transaction monitoring is a fundamental tool these institutions use to identify suspicious activities and ensure adherence to AML regulations. By closely adhering to stringent AML compliance frameworks, banks are at the forefront of utilizing sophisticated monitoring systems to bolster financial security and protect against illicit activities that could jeopardize the economic system's integrity. Through continuous monitoring and analysis of transactions, banks can stay vigilant in detecting and preventing fraudulent activities, safeguarding the institution and its customers from potential harm.

• FinTech companies: 

As FinTech companies continue to revolutionize the financial industry with their innovative online payment platforms and digital wallets, rigorous transaction monitoring has become more crucial than ever. These companies handle vast transactions daily, making them susceptible to various risks such as fraud, money laundering, and cyber attacks. With proper monitoring measures, FinTech companies can avoid jeopardizing the security and integrity of their services. By implementing robust transaction monitoring systems, these companies can effectively detect and prevent fraudulent activities, ensuring the safety of both their customers and their business operations. 

• Payment service providers: 

For investment firms and financial advisors, transaction monitoring is a critical tool, allowing them to identify and investigate suspicious activities within securities trading proactively. This includes uncovering potential market manipulation cases and insider trading, which could harm investors and undermine the market's integrity. By conducting thorough and diligent monitoring, these firms not only comply with regulatory standards but also protect the interests of their clients and uphold the principles of a transparent and fair investment environment. In doing so, they play a crucial role in maintaining trust and confidence in the financial system.

• Investment firms: 

Investment firms and financial advisors use transaction monitoring to detect suspicious activities in securities trading, such as market manipulation, insider trading, and other forms of financial fraud. Monitoring transactions helps ensure compliance with regulatory requirements and protects investors' interests. 

• Transfer companies: 

Money transfer companies facilitating international remittances and cross-border transactions require monitoring to identify and prevent potential money laundering and terrorist financing. Monitoring transactions helps these companies comply with AML regulations and reduce risks associated with fraudulent transactions. 

• Crypto exchanges: 

As the cryptocurrency industry faces increasing scrutiny over financial crime risks, crypto exchanges are adopting transaction monitoring solutions. These measures are crucial for complying with AML regulations, reducing fraud, and fostering a secure environment for digital currency exchanges. 

• Money lending services: 

Money lending services like payday lenders and online loan providers use transaction monitoring to detect and prevent fraudulent activities, identity theft, and other financial crimes. Monitoring transactions helps these companies verify the legitimacy of borrowers and comply with regulations. 

• Brokerage firms: 

Brokerage firms that facilitate securities trading and investments rely on transaction monitoring to detect suspicious activities, such as market manipulation and insider trading. Monitoring transactions helps ensure compliance with financial regulations and protects the integrity of the capital markets.

• Insurance companies: 

Insurance companies use transaction monitoring to detect fraudulent claims, money laundering schemes, and other financial crimes. Monitoring transactions helps insurers prevent losses due to fraudulent activities and comply with AML regulations in the insurance industry. 

• Real estate: 

Real estate transactions, especially high-value property purchases, are subject to money laundering risks and require transaction monitoring to detect suspicious activities. Real estate professionals, agents, brokers, and developers use transaction monitoring to identify potential money laundering activities and comply with AML regulations in the real estate sector. 

• Casinos and gaming establishments: 

Casinos and gaming establishments rely on transaction monitoring to prevent money laundering, terrorist financing, and other illicit activities in the gambling industry. Monitoring transactions helps these establishments comply with gaming regulations and protect against financial crimes. 

Transaction monitoring is indispensable across various sectors for preventing financial crimes, ensuring regulatory compliance, and safeguarding the integrity of financial transactions. As industries evolve and financial operations become more complex, the role of transaction monitoring becomes increasingly critical. Businesses and financial institutions must continue to invest in robust monitoring systems to protect against the ever-growing threats of fraud and financial crime.

How do Regulated Companies Monitor Transactions? 

Regulated companies across various industries, such as financial institutions, payment service providers, and gaming establishments, must implement robust transaction monitoring processes to detect and avoid financial crimes, comply with regulatory requirements, and safeguard against illicit activities.  

• Implementing Transaction Monitoring Systems:  

Regulated companies typically invest in advanced transaction monitoring systems that analyze sizeable real-time transaction volumes. These systems use sophisticated algorithms and rules-based engines to detect suspicious activities, unusual patterns, and potential red flags that may indicate illicit behavior.  

• Setting up Monitoring Rules and Alerts:

Companies establish specific monitoring rules based on regulatory requirements, industry best practices, and internal risk assessments. These rules define the parameters for monitoring transactions and flag any activities that deviate from standard patterns. Alerts are generated for transactions that meet specific criteria, prompting further investigation by compliance personnel.  

• Conducting Ongoing Monitoring and Review:  

Regulated companies continuously monitor transactions to identify and assess unusual activities or behaviors. Compliance personnel review alerts, investigate flagged transactions and analyze the underlying data to determine whether further action is required, such as filing a Suspicious Activity Report (SAR) or escalating the issue for additional scrutiny.  

• Leveraging Technology and Analytics:  

Companies use technology and data analytics tools to enhance their transaction monitoring capabilities. By leveraging AI and machine learning, companies can increase the efficiency of their monitoring systems, identify emerging risks, and uncover suspicious activities that may go undetected through manual processes.  

• Conducting Risk-Based Assessments:  

Regulated companies conduct risk assessments to evaluate the level of risk associated with several types of transactions, customers, products, and geographic locations. This helps companies tailor their monitoring efforts to focus on high-risk areas to mitigate potential risks.  

• Training and Compliance:  

Companies provide regular training to employees involved in transaction monitoring to ensure they understand regulatory requirements, industry standards, and company policies. Compliance personnel are trained to recognize and respond to suspicious activities, conduct thorough investigations, and maintain accurate records for regulatory reporting.  

• Reporting and Compliance:  

Regulated companies must comply with reporting requirements, such as filing SARs with regulatory authorities when identifying suspicious activities. Companies must maintain accurate records, document their monitoring activities, and demonstrate compliance with regulatory expectations to ensure transparency and accountability. 

Compliance with Legal Requirements and Avoiding Fines  

The Importance of Legal Compliance: Compliance with legal requirements is critical for running a business. It is essential for maintaining the trust of stakeholders, protecting the company's reputation, and avoiding costly fines and penalties. Businesses across various industries, especially those in regulated sectors such as finance, healthcare, and manufacturing, must adhere to a complex web of laws, regulations, and industry standards to operate lawfully and ethically. It is essential to adhere to legal requirements, as failure to do so can lead to severe consequences, including financial penalties, legal action, and damage to the company's brand and reputation. 

1. The Cost of Non-Compliance: One of the critical motivations for businesses to comply with legal requirements is to avoid fines and penalties imposed by regulatory authorities. Non-compliance with laws and regulations can cause investigations, audits, and enforcement actions by government agencies, which may result in substantial fines, sanctions, or other punitive measures. In some cases, repeated violations of legal requirements can lead to business closures, criminal charges, and civil lawsuits, jeopardizing the company's viability and sustainability. 
2. Strategies to Prevent Non-Compliance and Fines: To mitigate non-compliance risks and avoid fines, businesses must establish robust compliance programs encompassing policies, procedures, training, monitoring, and reporting mechanisms. These programs ensure that employees understand their legal obligations, follow established protocols and adhere to regulatory requirements in their day-to-day operations. 

Regulations for AML Transaction Monitoring by Region 

In the United States, anti-money laundering (AML) transaction monitoring regulations are primarily governed by the Bank Secrecy Act (BSA) and the USA PATRIOT Act. These laws require financial institutions, including banks, credit unions, and money services businesses, to establish robust AML programs to detect and avoid money laundering, terrorist financing, and other financial crimes. The Financial Crimes Enforcement Network (FinCEN) is the regulatory agency responsible for enforcing AML regulations and issuing guidance to help institutions comply with their obligations. 

Essential requirements under US AML regulations include: 

• Conducting customer due diligence. 
• Implementing risk-based AML monitoring programs. 
• Filing Suspicious Activity Reports (SARs) with FinCEN. 
• Maintaining records of transactions and customer information. 
• Financial institutions must also establish internal controls, conduct employee training, and undergo independent audits to ensure the effectiveness of their AML programs. 

Essential requirements under EU AML regulations include: 

• AML transaction monitoring in the EU is governed by the Fifth Anti-Money Laundering Directive (5AMLD) and the Sixth Anti-Money Laundering Directive (6AMLD).  
• Financial institutions, payment service providers, virtual asset service providers, and other entities subject to EU AML regulations are required to comply with AML regulations outlined in these directives. 
• The European Banking Authority (EBA) and national competent authorities such as the Financial Conduct Authority (FCA) oversee the implementation and enforcement of AML regulations in EU member states.  
• Under EU AML regulations, companies must conduct customer due diligence, risk assessments, and ongoing monitoring of transactions to determine and prevent money laundering and terrorist financing activities. 
• The regulations also require companies to report suspicious transactions to financial intelligence units (FIUs) and to implement measures to secure customer data and transactions. 

How to Set Up a Risk-Based Approach in Transaction Monitoring 

In avoiding financial crimes like money laundering and fraud, transaction monitoring is critical for a company's AML and compliance efforts. In recent years, there has been a shift towards the Risk-Based Approach (RBA) into transaction monitoring, which focuses on prioritizing resources and efforts based on the level of risk posed by customers, transactions, and other factors. 

The risk-based approach to transaction monitoring involves several fundamental principles: 

• Risk Assessment:

A cornerstone of the risk-based strategy is performing an in-depth risk assessment to pinpoint and evaluate potential threats tied to business operations, customer profiles, product offerings, and geographical influences. This meticulous assessment empowers companies to grasp their risk landscape thoroughly and tailor their transaction monitoring measures to focus on the most vulnerable sectors. 

• Customer Due Diligence (CDD): 

Robust CDD processes are instrumental in authenticating customers' identities, evaluating their risk exposure, and scrutinizing their transactions for any indicators of suspicious conduct. By categorizing customers based on risk factors such as geographical location, transaction volume, and business nature, companies can streamline their monitoring efforts more effectively. 

• Transaction Monitoring Rules: 

Drawing from regulatory mandates, industry benchmarks, and insights from risk assessments, companies formulate specific transaction monitoring guidelines. These criteria are instrumental in identifying transactions that stray from typical patterns, thereby streamlining the process of flagging and investigating unusual activities. 

• Alert Thresholds: 

Companies set alert thresholds to prioritize alerts and focus on high-risk transactions that require immediate attention. By establishing threshold levels for different alerts, companies can ensure that they are proactively monitoring high-risk activities and allocating resources efficiently to investigate and address potential risks. 

• Continuous Review and Optimization: 

Companies continuously review and optimize transaction monitoring processes to enhance effectiveness and efficiency. This may involve adjusting monitoring rules, updating alert thresholds, incorporating feedback from past investigations, and leveraging technology and analytics to improve the accuracy and performance of the monitoring system. 

• Documentation and Reporting: 

Companies document their transaction monitoring activities, findings, and responses to alerts to maintain records for regulatory compliance and reporting purposes. Companies must demonstrate that they follow a risk-based approach to transaction monitoring and respond appropriately to address any identified risks or compliance issues. 

AML Transaction Monitoring Challenges  

Transaction monitoring is essential for detecting and preventing financial crimes in regulated industries like banking, finance, and payments. However, several challenges can impede the effectiveness and efficiency of transaction monitoring systems. Some of the key challenges include: 

1. Legacy Solutions: Many companies still rely on legacy transaction monitoring systems that may need to be updated, are inflexible, and cannot keep pace with the evolving landscape of financial crimes. Legacy solutions may require more advanced analytics capabilities, real-time monitoring capabilities, and integration with other systems, hindering their effectiveness in detecting suspicious activities. 
2. False Positive Alerts: A significant drain on resources and false positive alerts compliance teams to sift through legitimate transactions flagged as suspicious. Implementing advanced analytical tools and machine learning algorithms can drastically reduce false positives, enabling teams to focus on genuinely suspicious activities and improve the operational efficiency of monitoring systems. 
3. Rising Operational Cost: The escalating costs associated with running transaction monitoring systems pose a challenge for many businesses. Optimizing system efficiency, leveraging automation, and streamlining processes can help control expenses without compromising the quality of monitoring efforts. 
4. Customer Friction: Stringent transaction monitoring processes can create customer friction, causing delays in transaction processing, account freezes, and other inconveniences for customers. Balancing the need for robust compliance measures with a seamless customer experience is challenging for companies seeking to maintain compliance while providing a positive customer journey. 
5. Data Quality and Integration Issues: Effective transaction monitoring relies on accurate, timely, and integrated data from various sources within and outside the organization. Data quality issues, siloed systems, and lack of integration can hinder the ability to conduct comprehensive and accurate monitoring, leading to gaps in detecting suspicious activities. 
6. Compliance with Evolving Regulations: Staying compliant with constantly evolving regulatory requirements and AML guidelines poses a significant challenge for companies. Keeping pace with regulatory changes, updating monitoring rules and systems, and ensuring adherence to new compliance standards require continuous monitoring, adjustments, and investments. 
7. Scalability and Flexibility of the Monitoring System: Traditional transaction monitoring systems may need to adapt to changing business needs and increasing transaction volumes. Ensuring the monitoring system can scale to accommodate growth, handle peak loads, and adjust to new requirements is crucial for maintaining effectiveness. 
8. Lack of Expertise and Skilled Personnel: Transaction monitoring requires specialized knowledge and skills to set up, operate, and optimize the monitoring system effectively. A shortage of skilled personnel, inadequate training, and a lack of expertise in regulatory compliance can limit the ability of companies to monitor transactions and respond to emerging risks and challenges effectively. 

Solving these challenges requires an integrated approach to transaction monitoring, including investing in advanced technology solutions, enhancing data quality and integration capabilities, prioritizing false positive reduction strategies, ensuring compliance with evolving regulations, and developing a skilled and knowledgeable compliance team. By overcoming these challenges, companies can strengthen their transaction monitoring capabilities, improve risk detection, and enhance their overall AML compliance efforts to protect against financial crimes and regulatory non-compliance. 

Sanction Scanner's AML Transaction Monitoring Solutions 

Elevate your transaction monitoring capabilities with Sanction Scanner - the most powerful software on the market. Our advanced technology uses machine learning and AI algorithms to detect suspicious activities, freeing you up to focus on investigating flagged transactions. Sanction Scanner is highly customizable, dynamically creates rules based on evolving customer behavior, and offers a simulation feature to help you refine your rules. 

What sets Sanction Scanner apart is its high level of customization. It creates rules based on evolving customer behavior, and you can use pre-built rule sets specific to your industry or create custom rules for your customer group. You can even determine your customers' risk scores based on their jobs, ages, and income. 

Moreover, you can define alarms for different risk levels and set transaction rules based on each customer's risk score. Our platform offers a transaction analysis feature that allows you to analyze the accounts traded with each other and view each account's Account Name, Volume, Balances, and relation. You can also assign risk scores based on specific criteria such as job, age, and income and set low, medium, high, and critical alarms accordingly or create Transaction Rules based on these customer risk scores.  

With Sanction Scanner, you can improve detection accuracy and reduce false positives. If you want to learn more, don't hesitate to contact us or request a demo. We'll show you how Sanction Scanner can help you achieve your goals.