Fraud Detection

KASTLE Fraud Detection & Management

KASTLE Fraud Detection & Management is a comprehensive solution for organizations to mitigate risks from frauds concerning identity, customer, loan, merchant and employee across the enterprise or individual segments. The solution enables financial institutions to proactively detect and prevent fraud through powerful customizable tools, to analyze and investigate data, and derive actionable intelligence.

KASTLE Fraud Detection & Management enables banks and financial institutions to conduct pre-transaction checks, limit exposures and facilitate post transaction verification and analysis.

The Need
Banks process large volumes of fragmented data from a number of source systems. In addition, they deal with multiple products, channels, instruments and parties. In such a complex environment, fraud detection can be challenging without automated systems.

KASTLE Fraud Detection & Management System takes a unique two-pronged approach to fraud prevention: Segmental Fraud Management and Enterprise Fraud Management. Segmental Fraud Management targets fraud in specific business segments such as card acquiring business and loan acquiring business. Enterprise Fraud Management covers pan-organizational account correlations and identifies potential fraud across products and channels.

Unique Features

  • Flexibility to identify potential fraud in real time or in batch mode
  • Customizable algorithms to suit specific environments and product / channel specifications
  • ID Analytics for calculation of ID scores at the application entry level, using a combination of inputs such as application attribute scoring, checks against external databases, and evaluation of third party involvement
  • De-Duplication to trace and analyze all existing relationships with the applicant
  • Built-in proprietary Beehive model of core analytics to generate scores for inconsistencies within a transaction or the larger environment of operations
  • Powerful tracking mechanism to trace frequency and patterns of Repetitive or Unusual Behavior (RUB)
  • Built-in rule library and builder to target patterns across a variety of frauds
  • Rules engine to create new / hypothetical patterns
  • Integrated alert and case management system
  • Early warning system includes checking, blocking, flagging or limiting transactions in case of suspicion


KASTLE Fraud Detection & Management aggregates evidence across multiple fraud indicators, uses proven adaptive profiling technology and takes a configurable, risk-based approach to provide comprehensive protection against incidence of fraud.

KASTLE Fraud Detection & Management is a browser-based Web application, developed on the J2EE framework with industry standard design patterns, and can run across multiple operating systems. Its unique technology platform is designed to handle security vulnerabilities, and its active-passive clustered environment ensures minimal downtime to users. The solution is scalable and capable of seamlessly interacting with multiple source systems.