FDS Explorer Functions

• Information Collection

  • Real time connection to the IP tracking system
  • Connection to the business transaction log(AppLog)
  • Collection of a large amount of data
  • Collection of real time transaction information
  • Collection of customer profiles

• AI Based Rule & Score Management

  • Checking and registering rule models for each process
  • Checking and registering score models for each process
  • Able to change or modify rules in real time
  • Rule & Scoring model operation based on AI
  • Proven rule/score model evaluation function

• Rule Model Evaluation

  • Verification and evaluation of rule & scoring models

• Alert Allocation

  • Alert allocating function based on each manager’s capacity
  • Function to allocate alert cases with high risks of accidents

• Suspicious Transaction Monitoring

  • Customer profile search
  • Check for detailed transactions with possibility of accidents
  • Detection of suspicious transactions by tracking IP and using location information
  • Check for detection status by rules
  • Detection of suspicious transactions through hourly transaction and location information
  • Detection of customers through transaction amount change history

• Confrontational Action

  • Able to request to block transactions in connection with the core banking and e-banking systems
  • Function to connect to call center and to send alarms to users
  • Function to block transactions and to send additional confirmation SMS

Features & Strengths

• Systematic

  • ㆍSystematic monitoring and analysis by knowledge based rule and score models

• Scientific

  • Having rule & scoring engines that mark suspicious transactions with flags through scientific techniques

• User Convenient

  • Solution developed from the user’s aspect, ease to manage the interface and Data Mart

System Configuration

FDS system consists of the information collection, analysis & detection, monitoring. It is connected to the e-banking system, core banking system, and real time IP tracking system.

Effects

• Effectiveness of suspicious transaction detection and correspondence

  • Minimizing any customer-side financial loss by enhanced fraud detection through the real-time monitoring
  • Effectively blocking electronic banking accident by risk based transaction monitoring method

• Improvement of proactive fraud prevention and business efficiency

  • Cutting additional cost of development and enabling immediate responses to new types of accident by implementing a system which is capable of adding rule and modifying
  • Improving business efficiency and securing proper functions with application of AI algorithms based on overall and scientific data analyses against frauds

• Quick response time

  • Through rule modification and rule simulation for a new rule, our FDS system prevents response delays from addition to pattern(rule)s or data increase
  • Identification and prediction of new or modification electronic banking frauds

• Boosting international creditworthiness

  • Required to prepare FDS in accordance with FIU recommendations for having a specialized FDS department and system in the relevant organization
  • Mitigating organizational system risks or other risks through reflecting the Financial Security Institute(FIS)’s suspicious transaction detection system technical guidelines on our FDS system
  • Securing competitiveness, such as preparing for the growth of Fintech business, etc