An Integrated Approach to Regulatory Technologies
After addressing the concept of RegTech in general, this article focuses on the importance of an integrated approach in Regulatory Technologies.
Before reading this content, we recommend reviewing our article in which we discuss Regulatory Technologies (RegTech) and their use in the financial sector.
As previously mentioned, the sensitivity of legal obligations and the strict sanctions imposed by MASAK have given rise to more specialized needs in the banking and financial sectors, leading to the development of RegTech systems. However, for managing these highly meticulous processes—where penalties and sanctions are significant—simply having a system positioned within the RegTech domain is not sufficient. The scope and adequacy of the designed system are equally critical factors. Many solutions available in the market for compliance and regulatory software are generally designed to address a single purpose (such as sanctions list screening, media screening, reporting, or network visualization), or at best, cover only a few requirements. As a result, compliance units with extensive obligations are often forced to invest in multiple separate products to meet all their needs. This not only creates cost challenges but also weakens an integrated analytical approach, making it difficult to generate efficient results and meaningful insights. For these reasons, fulfilling compliance responsibilities in the fight against financial crime requires a strategically designed, dynamic, and integrated analytical approach.
Key Features of an Integrated RegTech Solution
The primary requirement for achieving an integrated approach in regulatory technologies is the ability of the system to analyze all internal and external, structured and unstructured data through a single interface. In compliance processes, transaction flow data—such as transfers, customer, and account information—must be monitored alongside external data sources like sanctions lists and media screening to detect unusual activity. To fully identify transaction flows and the relationships within them, it is crucial that all analyses be conducted within a single system capable of revealing these connections. For example, integrated data analysis is essential to identify situations where a person suspected of involvement in illegal money transfers also appears on a sanctions list or has direct or indirect connections to individuals listed there.
The expectations of banks and financial institutions from an integrated compliance system can be summarized as follows:
Access to Detailed Individual and Corporate Account Data
Information such as beneficial owners, corporate ownership structures, and historical reporting records must be included in the analysis. Transaction and case history data related to accounts and individuals are indispensable for analysts in risk scoring and the detection of suspicious cases.
Datactive RegTech provides access to all structured and unstructured data by querying data directly at its source.
Network (Relationship) Analysis
Visualizing connections and displaying relationships between accounts and external data within a single interface enables the simultaneous examination of internal data (customer information, transaction flows, etc.) and external data (sanctions lists, PEP lists, etc.). This approach offers one of the most effective ways to uncover subtle details and hidden relationships. Advanced relationship-centric data visualization is therefore a critical capability in financial crime detection.
Risk Scoring
In integrated regulatory technologies, the ability to assign risk scores to individuals and accounts by evaluating all internal and external data using AI algorithms is essential. These risk scores should be designed to update dynamically based on ongoing activity to support continuous monitoring. Effective risk scoring plays a significant role in reducing false positives.
Scenario Creation and Alert Generation
RegTech solutions typically include predefined scenarios. However, with financial crimes increasingly conducted through indirect and sophisticated methods, predefined scenarios alone are no longer sufficient. In many systems, adding new scenarios is either not possible or requires lengthy and costly intervention from the solution provider. More effective systems allow users to create their own scenarios by modeling patterns based on experience. The more comprehensive the scenario design interface (asset diversity, flexible filtering, etc.), the lower the rate of false positives. Once scenarios are saved, real-time alerts can be generated when matches occur in streaming data, and predefined actions can enable automated system responses.
Comprehensive Media Screening
Media screening related to individuals under investigation is highly important for risk analysis. Beyond scanning news sources, sentiment analysis using natural language processing (NLP) can identify whether news content is positive or negative. These insights further support the system’s ability to automatically assign risk scores to individuals and accounts.
Reporting Interface
Reporting and monitoring insights and analytical outputs through interactive dashboards should be an integral part of the integrated system, without the need for additional tools. This enables information to be consistently maintained, shared across teams, and presented efficiently.
Rapid Suspicious Transaction Reporting
Notification processes can be just as challenging as detection processes. An integrated system that can generate suspicious transaction reports in a format directly uploadable to the MASAK EMİS Online system significantly saves time and simplifies workflows for users.
Having all these capabilities within a single system enables faster and more accurate results at lower cost while minimizing false positives. A RegTech solution with these capabilities must be built on a modern, advanced technological infrastructure. To remain agile, institutions need timely access to the right data and systems capable of taking automated actions when required. Investments in such solutions ultimately provide financial returns by protecting institutions from penalties and regulatory risks over the long term.