SignalShield-Early Warning Signals

 

In today’s evolving financial landscape, institutions must have mechanisms in place to detect potential frauds early. Our solution offers a framework that integrates advanced monitoring tools to identify and mitigate risks, ensuring proactive detection of fraudulent activities across various banking transactions. It also ensures that institutions can comply with the latest regulatory guidelines for fraud reporting and automates the reporting of fraud incidents through Fraud Monitoring Returns (FMR).

Our state-of-art solution provides advance detection frame work built using cutting edge technologies like AI and data analytics which helps to monitor financial and non-financial transactions to prevent against any potential fraudulent activities.The Red Flag Indicators (RFIs)configured in the solution identifies specific indicators ranging from borrower conduct to transactional irregularities. The RFIs continuously monitors transactional data, financial performance, and borrower market behaviour, to detect anomalies.Our SignalShieldframework leverages advanced analytics to generate alerts and trigger deeper investigations when potential fraud is detected. Through seamless integration with Core Banking Systems (CBS), LoanOriginating System (LOS), LoanManagement System (LMS) and other critical source system our solution enables institutions to act quickly on identified risks, thus preventing fraud before it escalates.

In summary, by choosing our solution, your organization will not only enhance its fraud detection capabilities but also gain a competitive advantage through improved regulatory compliance and operational security also it reduces the risk of penalties and helps in maintaining smooth relationship with regulators.

Key Benefits:

  • Proactive Fraud Detection: Detects potential fraudulent activities early by utilizing state-of-art technologies like data analytics,artificial intelligences and real-time monitoring.
  • Regulatory Compliance: Ensures institutions meet all necessary fraud reporting guidelines, protecting them from any indemnities.
  • Enhanced Security: Our solution provides continuous monitoring and AI-driven detection to safeguard both financial transactions and critical assets. It ensures real-time protection against fraudulent activities, preserving the integrity of your assets.

Product Features:

  • Early Warning Indicators: The system integrates a range of quantitative and qualitative indicators to detect anomalies in banking transactions, allowing institutions to flag potential frauds.
  • Real-Time Alerts: Our solution generates real-time alerts based on transactional data, financial performance, and borrower market behaviour, to detect anomalies
  • Credit Facility and Loan Monitoring: The solution tracks critical data points, generates alerts to identify potential fraudulent signals.
  • Regulatory Reporting: Ensures institutions can seamlessly report fraud cases to RBI, adhering to the timelines and guidelines for incident classification and closure.

Modules:

  • Red Flag Indicators: Our solution capabilities include the implementation of Red Flag Indicators (RFIs) and guidelines by regulators and also the institutes can define custom RFIs for enhanced monitoring.
  • Behavioural Analysis & Reporting: Our solution capabilities include suspicion of fraudulent activity where staff&our automated engines analyses customer behaviours and transaction patterns to ensure the early detection of anomalies, in full compliance with regulatory guidelinesthrown up by the presence of one or more EWS indicators which shall alert/trigger a deeper investigation from a potential fraud angle and initiate preventive measures.
  • Data Collection & Integration Module: Our Extract-Transform-Load Engine (ETL) automates data collection from various internal and external sources (e.g., financial records, market data, customer behaviour) required for monitoring and reporting purposes.
  • Risk Scoring Framework: Our solution classifies transactions and signals into different risk classification based on predefined classifiers.
  • Fraud case reporting module: Provides an efficient workflow to report fraud incidents to regulators in the desired format.
  • Credit Monitoring Module: Monitors the credit portfolio in real-time for adverse changes.Flags problematic accounts based on aging, overdue payments, or changes in credit ratings.
  • Money Mule Detection Framework: Rule library with advanced network analysis algorithm to identify potential money mule activities by examining connections and relationships between accounts, uncovering coordinated efforts to move illicit funds.

Key Features:

  • MIS and Analytics Setup: Our solution includes a dedicated Management Information System (MIS) unit that extensively monitors and analyses transaction data, including digital platform transactions, to detect unusual patterns and activities.
  • Whistleblower Protection: Ensures a transparent mechanism for examining whistleblower complaints related to suspicious transactions or fraud.
  • Fraud Case Closure Module: Allows for the structured closure of fraud cases once they are fully investigated and resolved, including reporting to the RBI and coordination with Law Enforcement Agencies (LEAs).
  • Threshold Customization: Our solution allows institutions to fine-tune the thresholds for fraud detection based on specific risk profiles, optimizing both fraud prevention and operational efficiency.

Source System Integration:

  • Intelligent ETL Process: Our proprietary ETL solution integrates and harmonizes data from multiple internal and external sources into a centralized system. This process is essential for comprehensive monitoring, analysis, and reporting, ensuring that all data is transformed into a consistent format before being loaded into the central repository
  • Real-Time Data Exchange and Monitoring: Application Programming Interfaces (APIs) enable real-time dataexchange between various systems, ensuring real-time analyses and detection. This capability supports preventive and proactive decision-making and enhances the overall efficiency of operations