Firco Automated Alert Reduction


Assess your current challenges with account screening

Manually validating customer databases against sanction lists and other lists can generate hundreds of thousands of alerts. Each alert may need to be assessed to determine accuracy, quality and potential risk, which can significantly drain compliance resources.

Firco Automated Alert Reduction is a secondary screening engine and surveillance tool, it enables you to identify Politically Exposed Persons (PEPs) and Reputationally Exposed Persons (REPs). Using AI techniques to explore patterns of interaction, uncover non-obvious relationships and flag anomalies, Firco Automated Alert Reduction delivers significant improvements in false positives and hit rates to help mitigate risk. By ranking or scoring true and probable matches by ‘severity’ you can gain a clear view of what is the potential largest risk to your bank

AI Techniques

Accuity applies AI techniques to its patented risk ranking methodology and probability scoring to identify—and prioritize—matches with the highest risk and most severe consequences. This powerful combination of applications has a profound effect on results by increasing accuracy, eliminating false negatives and substantially decreasing false positives.

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The benefits of Firco Automated Alert Reduction

  • Provides a collective view of enterprise relationship risk
  • Eliminates mass alerts
  • Proactively identifies the highest risk first
  • Improves operational efficiency and resource optimisation
  • Model validation is up-to-date for regulatory review
  • Supported by WorldCompliance™

Excellent features that come as standard

Two unique capabilities

Firco Automated Alert Reduction comprises two unique capabilities, Strength Index and Exposure Index. Together, they form a powerful core that facilitates data matching. Alerts with the most severe consequences and greatest relevance are easily identified and flagged for immediate attention.

Strength Index (SI)

An alert scoring and prioritisation framework that helps answer the question, “What is the probability that this is a true match?” To determine the likelihood that any two records refer to the same person or entity, SI considers various factors and data points, such as name frequency, date of birth, nationality and other information. AI techniques and other advanced technology increase accuracy and are used to develop a score based on the probability that a match is really a match. The higher the SI score, the higher the probability of truth.

Exposure Index

The Accuity methodology for ranking the relative political and criminal exposure of individuals and entities in reference databases. An automated, daily process, EI offers a precise and auditable solution that prioritises hierarchy of risk. The EI helps you answer the question, “If this match is our customer, how much could this impact our institution?” The data is graphically displayed in a scatter plot to easily segregate results, and enables you to identify high-risk matches with confidence, discard non-matches, and present a manageable number of alerts for adjudication.

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