Cloud Transaction Monitoring
Cloud Transaction Monitoring monitors every financial and operational transaction, enabling you to quickly detect potential fraudulent activity. Leveraging real-time monitoring, suspicious transactions are instantly identified and addressed.
Using artificial intelligence algorithms, Cloud Transaction Monitoring distinguishes transactions at risk of fraud from others, providing robust protection.
This solution helps financial institutions and crypto-asset service providers fully comply with regulatory requirements at every stage of their operational processes.
Discover Our Most Affordable Cloud Transaction Monitoring Solutions, Equipped with Advanced Features and Fully Compliant with All Regulations
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*The number of transactions in the packages is provided on a monthly basis.
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*Fees are charged monthly in advance. Prices exclude VAT.
Technical Specifications
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Protects accounts against unauthorized access by analyzing login behavior and detecting anomalies, such as logins from unusual locations or devices. Login Module
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Enhances security by accurately determining user locations, allowing for the detection of suspicious access attempts from unexpected places. Geolocation Detection Module
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Organizes data into static, dynamic, and custom lists to ensure effective data management and flexible processing for fraud prevention. List Management Module
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Enables rapid response to potential threats by automatically triggering actions like SMS, push notifications, or calls when suspicious activity is detected. Automated Response Module
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Provides a platform to manage and monitor fraud cases in real-time, supporting detailed analysis and effective resolution of security incidents. Case Management Module
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Simplifies fraud detection workflows by combining internal and external risk scores to visually design and automate operational scenarios. Operation Orchestration Module
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Generates comprehensive reports on fraud operations, including losses, trends, and operator performance, providing key insights for optimization. Detailed Reporting Module
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Protects credit, debit, and virtual cards against fraud by monitoring transactions in real-time using artificial intelligence and machine learning. Card Security Module
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Ensures secure transactions and prevents fraudulent activities by detecting anomalies in asset transfers, such as money, gold, and crypto. Asset Transfer Module
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Integrates KYC processes with fraud monitoring, combining identity verification and suspicious transaction management on a single platform. Cloud KYC Integration
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Tests the effectiveness of AI models and fraud scenarios before deployment to ensure optimal performance and minimize risk. Simulation Module
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Uses unsupervised AI to detect novel fraud patterns without requiring labeled data, offering a powerful and cost-effective anomaly detection solution. Unsupervised AI Module
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Allows the integration of supervised AI models to enhance rule-based systems, providing advanced fraud prediction and decision-making capabilities. Supervised AI Module
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Identifies hidden connections and complex fraud rings by visualizing relationships between different entities in your data. Link Analysis Module (Coming Soon)
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Integrates with your existing Active Directory infrastructure to provide secure user authentication and role-based access control (RBAC). Active Directory Support
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Supports OAuth and OpenID Connect for modern, secure user authentication and authorization, enabling single sign-on (SSO) and secure data access. OAUTH / OpenID Support
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A dedicated sandbox environment to safely test new rules, configurations, and features before deploying them to the live system. Test Environment
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The live environment where the fraud detection system actively protects your real-world transactions and operations. Production Environment
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Provides a comprehensive REST API for seamless integration with other systems, enabling easy data exchange and interoperability. REST API
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Ensures system reliability and continuous operation with around-the-clock access to our expert support team for any system-related issues. 24/7 Live Support
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Modules
The modular design of Cloud Transaction Monitoring provides flexibility and cost-efficiency for businesses focused on fraud detection, prevention, and regulatory compliance. Users can select only the modules that meet their specific needs, avoiding unnecessary costs.
Additionally, modules can be easily activated or deactivated as regulations or operational priorities evolve. This flexibility offers businesses a strategic advantage in managing fraud prevention solutions while ensuring continuous compliance with relevant regulations.
Login Module
This module adds a critical layer of security for organizations across various industries, effectively detecting common fraud methods like phishing and account takeovers. Leveraging advanced behavioral analysis and machine learning, it continuously monitors users' login patterns to identify anomalous activities. By detecting inconsistencies such as changes in IP address, device information, or geolocation, the module can immediately flag and block potential threats, such as users logging in from different locations within short timeframes. Its flexible data integration and real-time analysis capabilities ensure seamless operation with both in-house and third-party information sources, further enhancing fraud prevention efforts.
Geolocation Detection Module
The Geolocation Detection Module is an advanced solution designed to accurately pinpoint the geolocation of users. Particularly valuable for financial transactions and data security, this module analyzes users' location information to identify suspicious or unauthorized access attempts. By verifying if a user is attempting to log in from an unusual location, the module effectively addresses fraudulent scenarios tied to geolocation discrepancies. It also enables the design of transaction flows based on geographical location, offering enhanced flexibility and control in operational processes.
List Management Module
The List Management provides a variety of structural options to ensure efficient organization and use of data. Static lists allow you to query data based on specific criteria, maintaining a fixed structure. Dynamic lists automatically update, adapting to constantly changing data, making them ideal for managing records that need to be deleted after a set period. Extended lists offer a robust database structure for complex data records and provide multi-dimensional querying capabilities for more in-depth analysis.
Automatic Intervention Module
The Automatic Intervention Module provides fast and effective response mechanisms for suspicious transactions. With Twilio integration, organizations can create automatic intervention scenarios across multiple communication channels. This feature enables immediate responses to suspicious transactions through SMS, Push message, and IVN (Interactive Call Notification)-based response scenarios or IVR (Interactive Voice Response) calls? By enhancing financial security, it also improves customer satisfaction and transaction security. The Automatic Intervention Module allows businesses to manage risks effectively and quickly mitigate potential threats with a proactive approach.
Case Management Module
The Case Management department provides the ability to monitor your operational processes in real time at every stage, with advanced case management and reporting capabilities. Its independent operation structure enables digital banking and card teams to design processes and reports based on specific performance criteria, offering a customizable and flexible solution. By consolidating suspicious transactions into a single case, case managers can conduct in-depth analyses and quickly pinpoint the source of vulnerabilities. The real-time monitoring feature enhances operational efficiency and effectiveness, strengthening security strategies and reducing organizational risks.
Operation Orchestration Module
The Operation Orchestration Module integrates and evaluates internal risk scores alongside risk scores from various external fraud detection systems. Featuring a user-friendly interface, it allows the design of operational scenarios using a drag-and-drop method. This module enables the visual modeling of user interactions based on risk signals from different fraud systems, while developing multi-layered operational scenarios driven by user feedback. By automating and efficiently managing all operational flows, each stage is meticulously logged for enhanced tracking and security.
Detailed Reporting Module
The Detailed Reporting Module is an advanced solution that offers in-depth and comprehensive reporting on all aspects of your anti-fraud operations. This module provides real-time insights into losses and gains due to fraud, either consolidated at the selected exchange rate or on an operator-by-operator basis. The performance of each operator can be closely monitored, and comparisons can be made across operators using various performance metrics. In addition to key indicators such as case numbers, resolution time, and success rate, the module offers detailed analysis of losses and gains based on fraud type and attack scenarios. Operational efficiency is enhanced with resource management reports, ensuring optimized performance.
Card Security Module
The Card Security Module delivers an advanced fraud prevention solution for debit, credit, prepaid, and virtual cards. Developed to safeguard businesses and customers from the ever-present risk of card fraud, the module continuously monitors transactions in real-time using advanced machine learning and analytics. By aggregating risk signals from multiple sources, it offers a comprehensive view of potential threats. Its AI engine quickly adapts to evolving fraud patterns, analysing transaction data with high precision to block fraudulent activity. With the Card Security Module of Cloud Transaction Monitoring, businesses enhance their defence against card fraud while ensuring a secure, frictionless payment experience for their customers.
Asset Transfer Module
The Asset Transfer Module is a comprehensive solution designed to detect anomalies in asset transfer transactions, including money, gold, foreign currency, and cryptocurrency. The module monitors financial transactions in real-time, swiftly identifying unusual movements and potential fraud attempts. Leveraging advanced analytics and machine learning, it detects out-of-pattern behavior in transfer transactions. With a quick and efficient review process, the module empowers financial service providers to prevent fraud by delivering detailed insights. The Asset Transfer Module enhances asset security, reduces fraud risks, and ensures a safer transfer experience for customers.
Cloud KYC Integration
Cloud Transaction Monitoring and Cloud KYC integration offer a comprehensive solution that enhances your security and identity verification processes. This integrated framework allows KYC and suspicious transaction monitoring to be consolidated within case management, streamlining operations through a single platform and reducing operational costs. The Biometric Authentication feature ensures reliable identity verification, while Increased Security Verification (Step-Up Authentication) enables automatic intervention or advanced security measures for suspicious cases.
Simulation Module
The Simulation Module is a powerful analysis tool designed to evaluate the performance of fraud scenarios and AI models. This module helps identify differences in performance and success between AI models, while also offering the ability to test how effectively rules and scenarios will perform, as well as the volume of cases they will generate. By enabling thorough evaluation before moving processes into the production environment, it helps minimise potential risks. With its advanced analytical capabilities in a safe, controlled environment, the Simulation Module enhances operational efficiency and decision-making.
Unsupervised Artificial Intelligence Module
The Unsupervised Artificial Intelligence Module provides flexible, business-specific solutions by learning directly from data without requiring a pre-existing dataset. This module uses our custom-modified Robust Clustering Algorithm (ROCK) for data segmentation. By analysing relationships between data points, it employs a connection-based approach, which is especially effective in fraud detection. Its noise resilience allows the module to create meaningful clusters by filtering outliers and noise from the dataset. By focusing on categorical data, it uncovers subtle patterns between categories, making it highly effective in identifying fraudulent activities. Additionally, the module’s flexibility enables precise differentiation between normal and abnormal behaviour. Since it operates without external training, its operational cost is minimal. If your business’s AI resources are limited, our expert engineers are available to provide support. This module enhances data analytics and operational efficiency, while expanding your organisation’s AI capabilities.
Supervised Artificial Intelligence Module
The Supervised Machine Learning Module is an AI interface that enables the integration of both external and internal supervised artificial intelligence models. This module enhances your business processes by incorporating AI-driven insights into rules and scenarios, making them more dynamic and effective. If your business has limited resources in this area, our expert AI engineers provide comprehensive support for all your needs. This module boosts process efficiency and decision-making speed, helping to strengthen your organization's AI capabilities.
Link Analysis Module
The Link Analysis Module is a comprehensive tool designed to analyze relational data for detecting fraud and anomalies. Leveraging advanced graph theory algorithms and data mining techniques, it explores complex relationships between data points, uncovering fraudulent networks and unusual interactions. By integrating multiple data sources, the system identifies anomalous patterns in user and transaction data, while predicting future fraud trends through historical analysis. Additionally, link analysis, which can be used for identifying Points of Compromise, enables proactive measures by pinpointing the source of vulnerabilities and potential fraud networks connected to these points.
Optional Modules
Dark Web Monitor
Dark Web Monitor Our Dark Web Monitor module is an advanced cyber intelligence solution designed to detect sensitive information on the internet and dark web, providing robust protection against fraud threats that jeopardise the security of your organisation and customers. Powered by machine learning algorithms, our system effectively prevents account takeovers and other fraud attempts, particularly following phishing attacks, through continuous 24/7 scanning. Detailed reports enable proactive responses to data breaches, while seamless integration with cloud-based transaction monitoring platforms ensures efficient management of intelligence-driven fraud risks from a unified hub.
AML Module
The AML (Anti-Money Laundering) Module is an advanced solution designed to prevent money laundering and ensure full compliance with MASAK (Financial Crimes Investigation Board) regulations. Specifically tailored by MASAK, the module monitors watchlists of suspicious individuals, organizations, blacklisted entities, and sanctioned parties (Sanctions, PEP, OFAC). By conducting in-depth analysis of financial transactions, it helps financial institutions meet regulatory requirements and effectively detect suspicious activities. Real-time monitoring of customer transactions is powered by advanced data analysis and AI algorithms, identifying unusual activities and performing risk assessments. Customer profiles are continuously updated, generating alerts for high-risk transactions. Integrated with Know Your Customer (KYC) processes, the module enables comprehensive reviews of new and existing customer transactions. By integrating multiple data sources, it provides detailed reports to compliance units, aiding financial institutions in managing money laundering risks and enhancing operational security. Additionally, this high-quality security solution detects and prevents misuse of both physical and virtual POS terminals. Equipped with advanced machine learning algorithms and analytical techniques, it monitors POS device transactions in real-time, swiftly detecting and preventing abnormal behavior. The system performs a thorough analysis by combining transaction activities with risk signals from various data sources. Its AI-driven engine continuously learns and adapts to evolving threat vectors, maximizing merchant and POS terminal security while effectively preventing unauthorized access and misuse, ensuring a secure and seamless payment experience for customers.
Application Fraud Module
The Application Fraud Module effectively detects fraudulent activities, such as opening new accounts and using fake data in loan and credit card applications, commonly seen across industries like insurance, gaming, fintech, e-commerce, and crypto services. This module prevents fraud attempts at the application stage by analyzing hundreds of behavioral characteristics using advanced machine learning and analytical benchmarking techniques. It identifies anomalies during application processes and detects inconsistencies in address, email, phone, and identity information. The module is highly effective against both individual fraud attempts and complex fraud chains driven by organized crime groups. It identifies and investigates criminal groups and fraudulent applications with advanced connectivity and network analysis capabilities. Offering flexible data integration, it supports fraud decisions using both in-house and third-party information, ensuring a robust fraud prevention process.
Device Fingerprint (Mobile)
The Device Fingerprint (Device ID) Mobile Module is an essential security solution designed to protect mobile applications. Using advanced algorithms, it creates a unique digital fingerprint by analysing key technical features such as hardware configuration, operating system versions, installed apps, and screen resolution of mobile devices. This module detects suspicious activity by evaluating access requests from mobile devices, with a primary focus on enhancing security for financial transactions. The algorithms continuously monitor for repetitive or unusual user behaviour, identifying potential threats and preventing unauthorized access. By offering an additional layer of security, the module strengthens mobile application protection and safeguards against fraud.
Malware Detection (Web)
The Malware Detection Service is an advanced solution designed to safeguard web-based platforms. It continuously monitors web applications for potential threats and swiftly detects malware. Leveraging sophisticated algorithms and machine learning techniques, the service thoroughly analyzes web traffic and user behaviour to identify anomalous activities. This ensures secure data exchange between corporate networks and users. By detecting threats in real-time, it provides proactive security measures that prevent malware from infiltrating systems.
Device Fingerprint (3DS)
The 3DS Device Fingerprint Module is a robust authentication solution designed to enhance online transaction security. Integrated with the 3D Secure (3DS) protocol, this module generates a unique digital fingerprint by thoroughly analyzing user devices during financial transactions. It assesses hardware, software configurations, and browser details using advanced algorithms, reducing fraud risks and identifying potential threats. By continuously monitoring unusual and repetitive behaviours, it adds extra layers of security to prevent unauthorized access. Without disrupting the user experience, it boosts customer satisfaction and provides businesses and financial institutions with enhanced security and protection during digital transactions.
Internal Audit Module
The Internal Audit Module by Cloud Transaction Monitoring is a comprehensive solution designed to safeguard organizations against internal fraud. Internal fraud, which can take various forms such as employee misconduct or executive-level abuses, can lead to significant organizational losses. This module combines data analytics, machine learning, and artificial intelligence technologies to prevent workplace fraud. By examining operational data with advanced analytics, it detects unusual patterns, trends, or inconsistencies. The rule engine allows for the establishment of specific rules and thresholds tailored to the needs of your organization, automating internal fraud detection. With the integration of machine learning and AI, the module identifies patterns and anomalies that may suggest fraudulent activity, while real-time monitoring ensures rapid detection and response to potential fraud.
Travel Rule Module
Our 100% GDPR-compliant Travel Rule Module in Cloud Transaction Monitoring helps Crypto Asset Service Providers (CASPs) meet international regulatory standards, in line with Directive 16 of the Financial Action Task Force (FATF). FATF 16 mandates the sharing of sender and recipient details during financial transactions, and this module ensures secure and encrypted transmission of this information between transaction parties. It conducts real-time compliance checks, integrates seamlessly with various platforms, and supports essential processes such as Customer Due Diligence (CDD), which is required in some regions. With an intuitive interface and robust traceability features, it enhances transaction transparency, aiding in the prevention of illicit activities. Additionally, Notabene facilitates smooth communication between crypto platforms and networks, leveraging our extensive partnerships with entities like 21 Analytics, Sygna, and VASPNet.
BIN Inquiry Module
The BIN Inquiry Module is a robust solution designed to enhance the security of financial transactions. The Bank Identification Number (BIN), the first six digits of a card number, identifies the financial institution that issued the card. This module examines the BIN number during transactions, reducing fraud risk and boosting transaction security. It verifies transaction eligibility by identifying the card type, its affiliated country, and the issuer. In this way, detailed card information is accessed during transaction validation, allowing rules and scenarios to be efficiently executed based on this data.
Chargeback Module
The Chargeback Module offers a comprehensive solution to streamline chargeback and dispute processes for financial institutions and businesses. This module enhances data collection and evidence submission with advanced case management and automated workflows, reducing operational costs and lightening the workload of customer service teams. By integrating data instantly from multiple sources, including API, database, CSV, and Excel, it analyzes key metrics such as reimbursement reasons, rates, and financial impacts through detailed reports. This enables businesses to assess the effectiveness of their dispute processes, comply with card network standards, and gain valuable insights into their risk management and loss prevention strategies. With the Chargeback Module, businesses can efficiently monitor their financial operations and enhance the financial performance of their processes.
Device Fingerprint (Web)
The Device Fingerprint (Device ID) Web Module is a crucial feature designed to enhance digital security for web-based applications. Using advanced algorithms, the module combines technical details such as the device's hardware configuration, operating system, installed plugins, screen resolution, and more. It also captures browser information, cookies, and language-time settings, generating a unique digital fingerprint for each device. This setup helps identify suspicious activity by thoroughly analyzing web-based access requests, especially to secure financial transactions. Continuous algorithms monitor repetitive or unusual user behavior to detect potential threats and prevent unauthorized access, boosting the overall security effectiveness of the module.
Malware Detection (Mobile)
The Malware Detection Service provides a comprehensive solution to strengthen the security of mobile platforms. By continuously scanning applications and content on mobile devices, it effectively identifies malware and suspicious activities. The service leverages advanced algorithms and behaviour-based analysis to monitor data traffic from mobile devices, quickly detecting any anomalous behaviour. Offering the highest level of protection for both users and corporate data, this solution proactively blocks threats, enhances mobile device security, and ensures an uninterrupted user experience.
Mastercard Ekata Module
The Mastercard Ekata Module is a solution that ensures high security and accuracy in identity verification processes. By leveraging advanced analytics and a comprehensive authentication database, this module minimizes fraud risks, enabling quick and reliable verification of user-provided data. Mastercard Ekata detects fraud attempts effectively through real-time data analysis and large global data sets, enhancing customer satisfaction by reducing transaction confirmation times. The Mastercard Ekata Module offers robust protection against various fraud types encountered by modern digital businesses, particularly application and account opening fraud.
KYT (Know Your Transaction)
KYT, standing for “Know Your Transaction,” refers to the detailed monitoring and analysis of financial transactions. The objective of KYT is to prevent illegal activities such as money laundering, terrorist financing, or fraud by identifying suspicious transactions among those conducted on behalf of a customer. Within this scope, elements such as transaction volume, frequency, source, and deviations from usual patterns are focused upon, and suspicious transactions are reported to relevant internal units or external authorities.
KYT (Know Your Transaction) and Advanced Transaction Analysis
As an integral part of our Cloud Transaction Monitoring platform, the Know Your Transaction (KYT) capability enables the monitoring and analysis of financial transactions down to the finest detail. Its primary objective is to establish a strong defense line against illegal activities such as Anti-Money Laundering (AML), Counter-Terrorist Financing (CTF), and fraud by proactively detecting suspicious patterns and activities among transactions carried out by or on behalf of your institution.
How KYT Works with Cloud Transaction Monitoring
Our AI-powered algorithms and advanced analytical tools evaluate each transaction from a multi-dimensional perspective. Within this scope, they assess numerous critical data points such as transaction volume, frequency, timing, geographical origin and destination, channels used, counterparty information, and deviations from the customer’s past transaction behavior. In this way, our platform provides:
Real-Time Monitoring and Anomaly Detection: Transactions are analyzed as they occur. Unusual or high-risk transactions are instantly flagged by predefined rules and AI models.
Comprehensive Risk Assessment: The risk profile of each transaction is dynamically calculated, taking into account factors such as risks associated with the sender and recipient, the nature and context of the transaction.
Behavioral Analysis and Profiling: The typical transaction behavior of customers and accounts is learned. Any significant deviation from this “normal” profile is considered a potential risk indicator and is subjected to detailed review.
Automatic Alerting and Reporting: When suspicious transactions are detected, automatic alerts are sent to relevant compliance and operations units. Working in integration with our Case Management Module, it provides a structured workflow for the tracking and resolution of these cases.
Regulatory Compliance Support: It supports your suspicious transaction reporting (STR / SAR) processes in accordance with the expectations of regulatory bodies such as FinCEN in the US, the FCA and NCA in the UK, and international regulatory bodies (e.g., FATF), ensuring your readiness for audits.
Advantages Provided by KYT to Your Institution
Strengthened Regulatory Compliance: Enables you to effectively fulfill your anti-money laundering and counter-terrorist financing obligations according to relevant regulations.
Reduced Financial Risks: Minimizes financial losses and reputational risk that may arise from fraud and illegal activities.
Increased Operational Efficiency: Automates the detection and investigation processes of suspicious transactions, reducing manual workload and enabling more efficient use of resources.
Enhanced Customer Trust: Increases brand loyalty by demonstrating that you offer a secure and compliant financial platform to your customers.
The KYT capability of Cloud Transaction Monitoring offers you powerful tools to make your financial ecosystem safer, more transparent, and compliant with legal and regulatory requirements.
Consulting - Artificial Intelligence Consultancy
Our Artificial Intelligence Consultancy Service, offered alongside the Cloud Transaction Monitoring product, provides expert support to help customers maximize the benefits of the AI modules included in the product.
Tailored specifically for organizations without in-house AI engineers, this service involves the design and development of AI solutions customized to meet their unique needs. Our expert engineers continuously monitor the performance of AI models, making necessary improvements and fine-tuning them to ensure optimal results.
Contact us for more details on consultancy fees.
Infrastructure and Technical
10-Year Archiving Period
Our Cloud Transaction Monitoring solution ensures secure and compliant archiving of transaction records in line with regulatory deadlines. The product guarantees transaction records are preserved for at least 10 years, adhering to legal requirements for financial institutions, payment institutions, and electronic money institutions. This archiving period fully complies with the obligations set by the Banking Regulation and Supervision Agency (BRSA) and the Financial Crimes Investigation Board (MASAK), ensuring your business can meet legal obligations and submit necessary data to relevant authorities when required.
OAuth and OpenID Support
The Cloud Transaction Monitoring platform’s integration with OAuth and OpenID Connect offers a modern, secure solution for user authentication and access authorization. With single sign-on (SSO) capabilities, this technology provides secure data access for third-party applications through OAuth and authenticates users with OpenID Connect. By enhancing authentication infrastructure, OAuth and OpenID Connect improve the security and efficiency of access management, raising security standards and delivering a more reliable digital security framework for businesses.
Active Directory Support
Our Active Directory integration enables organizations to provide secure, uninterrupted access using their existing Active Directory infrastructure. Role-based access control and user group management can be easily implemented, defining roles and permissions for authorized users within the Cloud Transaction Monitoring application. This integration enhances cloud security management, simplifies administration, and elevates overall security standards.
24/7 Support
To ensure you remain compliant with regulations and effectively address your business needs, our technical support teams provide 24/7 assistance. Whether you require help with writing, testing, or deploying rules and scenarios to production, our experts are available around the clock. We offer continuous support throughout your integration processes, software usage, and case management, ensuring your operations run smoothly and securely at all times.
Integration
The Cloud Transaction Monitoring platform provides robust integration with your computing resources through a REST API, enabling seamless data flow and enhancing transaction monitoring. Our cross-platform RESTful API ensures flexible and efficient integration, allowing smooth data exchange across various systems. With real-time data monitoring capabilities, the platform maximizes both performance and security. To support your integration process, we provide comprehensive examples in our documentation portal and offer 24/7 support, ensuring a smooth and secure implementation every step of the way.
Product Specifications
Fraud Rule Engine
The Cloud Transaction Monitoring platform's Fraud Rule Engine offers exceptional flexibility with its multi-channel structure, enabling seamless data exchange across different channels. The user-friendly rule interface allows businesses to easily create and customize any type of fraud detection scenario. The engine includes a wide range of pre-configured rules and fraud scenarios that adhere to regulatory requirements, such as impossible travel (identifying transactions from geolocations far apart within short periods), logins from different IP addresses, high-frequency logins, transactions at unusual times, and suspicious money transfers. Leveraging its artificial intelligence interface, the rule engine can feed data directly into AI models and receive insights, enhancing the effectiveness of advanced analytical models. With built-in statistical functions, it performs complex operations, such as addition, time measurement, averaging, and counting, at incredibly high speeds, processing data in fractions of a second.
Multiple AI Engines
Our Artificial Intelligence Engine is designed for maximum flexibility, supporting both supervised and unsupervised learning modes. The integrated AutoML (automated machine learning) infrastructure enhances the efficiency of learning processes by accommodating a wide range of data types and use cases. In unsupervised mode, our proprietary ROCK model enables rapid deployment even without historical data, automatically detecting hidden patterns, anomalies, and behavioural shifts within your datasets. The supervised mode supports custom model development using a broad selection of algorithms. For instance, a Random Forest model might be ideal for one data channel, while a Regression Tree may offer better accuracy for another. Multiple AI models can be executed in parallel to address different fraud detection or risk assessment needs. Even without prior data, the system can deliver high-accuracy results quickly through unsupervised learning. If historical data is available, you can easily train and fine-tune our default supervised models to suit your business requirements. This flexibility enables precise forecasting and in-depth analysis, supporting robust, real-time decision-making across both legacy and new data environments.
Open AI Infrastructure
Our AI infrastructure offers exceptional technical flexibility, supporting widely-used formats like PMML (Predictive Model Markup Language), PFA (Portable Format for Analytics), and ONNX (Open Neural Network Exchange). This versatile infrastructure enables seamless integration of external AI models into the Cloud Transaction Monitoring system, ensuring easy access to a variety of algorithms and data science models. By allowing rapid adaptation and integration into existing decision-making processes, this infrastructure boosts the accuracy and effectiveness of your decision models. Its primary benefit lies in its ability to incorporate the most relevant models tailored to business needs, enhancing overall system performance. Additionally, this integration streamlines workflows for data scientists and AI engineers, reducing issues caused by model format incompatibilities and accelerating production processes.
Simulation Engine
The Simulation Engine is a robust tool designed to evaluate and compare AI models' performance by calculating key parameters. Leveraging historical data, it assesses how new AI models or fraud detection rules function and their efficiency. The engine calculates critical performance metrics, such as accuracy, precision, recall, F1 score, and processing time, offering a detailed evaluation. These insights enable you to identify strengths and weaknesses within your models and rules. The Simulation Engine's comprehensive reports allow for an in-depth analysis of potential risks and their impact before any changes are implemented in live environments. This process helps optimize systems, ensuring a more reliable and effective fraud prevention strategy while minimizing potential issues.
List Management
In the Cloud Transaction Monitoring system, List Management is a crucial feature designed to enhance your fraud prevention processes with flexibility and efficiency. Static Lists offer long-term monitoring, maintaining data such as blacklisted user accounts or specific IP addresses indefinitely. Dynamic Lists, on the other hand, automatically delete temporary or time-sensitive data after a specified period, such as transactions flagged as suspicious within a given timeframe. Extended Lists provide advanced capabilities by enabling the use of multi-dimensional data, ideal for more complex analyses. These lists allow for in-depth exploration of broader data, such as customer behavior patterns and transaction histories. By tailoring solutions to your unique business needs, List Management boosts the overall effectiveness of the system in mitigating fraud risks.
Customer Experience Design
The Customer Experience Design module features a drag-and-drop interface, allowing you to create custom workflows tailored to different customer segments and suspicious transaction types. This module helps optimize customer experiences by enabling automatic actions when predefined conditions are met. Thanks to its built-in analytical components, the system can determine the most appropriate action based on real-time data, improving customer satisfaction and speeding up decision-making. By automating operational processes, this module ensures more efficient workflows while providing customers with a smoother, personalized experience during suspicious transaction evaluations. Its ability to streamline business processes and facilitate quick responses lays a solid foundation for proactive customer communication strategies.
Process and Workflow Management
The Process and Workflow Management system automatically deploys pre-designed workflows tailored to the risk profile of each process. By automating workflows, manual interventions are minimized, enhancing transparency and traceability throughout operations. This not only strengthens the security of financial transactions but also significantly boosts operational efficiency. The system offers dynamic monitoring and response capabilities, allowing you to manage each process with actions tailored to its specific risk profile. This integrated approach ensures faster and more secure experiences for customers while improving overall process management.
Case Management
The Omni-Channel Case Management system consolidates suspicious transactions from various channels linked to the same customer into a single case. This approach enables managers to thoroughly examine transactions, quickly identifying vulnerabilities and understanding their origins. By visualizing suspicious transactions on a timeline, the system clearly illustrates each stage of the fraud process and highlights potential connections, making event development easily traceable Case management is efficiently handled through users assigned different authorization levels, ensuring that transaction security and integrity are protected. The system’s intelligent case assignment algorithms assess operators’ expertise, workload, and past performance, routing cases to the most suitable operator for optimal handling.
Reporting
The Cloud Transaction Monitoring reporting features empower businesses to conduct in-depth analysis of their fraud prevention processes. The real-time employee reporting system offers an instant overview of financial operations, allowing businesses to monitor losses and gains resulting from fraud. With Report Automation, reports are generated and sent automatically at regular intervals, reducing manual work and saving valuable time. The system provides detailed cause-and-effect analyses for various fraud types, helping businesses identify trends and develop targeted prevention strategies. Performance reports, case densities, and shift analyses of operators enhance human resource management, optimizing workforce allocation. Proactive Notifications deliver immediate alerts about critical changes or abnormal activity, enabling swift action. Furthermore, businesses can track other operational metrics, with the ability to customize data reporting according to specific business needs. Data Dashboards present summary data, offering quick insights into overall trends and critical information for decision-makers, particularly at the management level. With a wide range of templates and customization options, the Cloud Transaction Monitoring reporting feature ensures complete flexibility to meet all your reporting requirements.
FAQ
Transaction monitoring is the process of identifying abnormal or suspicious activities by continuously analysing transactions within the operational and financial systems of financial institutions and businesses. Its primary goal is to prevent fraud, ensure compliance with regulatory requirements, and enhance overall operational efficiency.
Cloud Transaction Monitoring refers to the execution of transaction monitoring processes through cloud computing technologies. This approach reduces software and infrastructure costs while enhancing system scalability and accessibility. Cloud-based solutions typically offer faster deployment, automated updates, and advanced security features.
Cloud Transaction Monitoring offers your business the following core benefits:
- Fraud Risk Reduction: Minimises financial losses by detecting suspicious activity early through real-time monitoring and AI-driven algorithms.
- Regulatory Compliance: Supports adherence to financial regulations (BRSA, MASAK, KVKK, etc.) and streamlines audit and reporting processes.
- Enhanced Operational Efficiency: Boosts productivity through automated workflows, smart case management, and in-depth reporting tools.
- Improved Customer Trust: Strengthens customer satisfaction and loyalty by ensuring a secure and transparent transaction environment.
- Flexibility and Customisation: Its modular design enables tailored solutions that align with the unique needs of your business.
Real-time transaction monitoring enables the instant detection and response to suspicious transactions. This proactive approach helps prevent fraudulent activities before they occur or limits their impact. It provides a crucial advantage, particularly in sectors with high transaction volumes, such as financial services and crypto-asset platforms.
AI algorithms play a crucial role in transaction monitoring by analysing large volumes of data to automatically identify unusual patterns and potential fraud indicators. Continuously learning and evolving, these algorithms keep the system current against emerging fraud tactics and can detect subtle anomalies that may be overlooked by human analysis.
A modular structure means that the Cloud Transaction Monitoring system is composed of independent modules, each designed to perform specific functions. This allows businesses to reduce costs by selecting only the modules they require. Additionally, modules can be easily added or removed based on evolving needs or regulatory changes, offering a high level of scalability and flexibility.
Cloud Transaction Monitoring can be seamlessly integrated into your existing infrastructure through a REST API. The REST API standardises data exchange across various platforms and applications, streamlining the integration process. Comprehensive documentation and 24/7 technical support are provided.
Data security and confidentiality are prioritised to the highest standards. The system fully complies with KVKK (Personal Data Protection Authority) and other applicable regulations. All data is encrypted, stored in secure data centres, and undergoes regular security audits to ensure ongoing protection.
