SMART ALERT SUPPERSSION

MICRO-SERVICES
AML SYSTEM ENHANCERS &
OPTIMIZATION TOOLS

Alert Suppression Module significantly reduces False Alerts Rate 
and, as a result, reduces operational burden & costs by 90%

SMART ALERT SUPPRESSION (L1)

Fincom’s Smart Alert Suppression mechanism filters both False Positives and non-justified discriminating results.
Alert Suppression is based on ‘Accurate Name Matching’ capability combined with examination of additional information about an entity, such as address, birthdate, or other.
‘Smart Alert Suppression’ incorporates various methods to distinguish between Individual or Company, and to activate different algorithm methodology and control thresholds, according to risk-appetite.

The Alert Suppression demonstrates a significant ability in resolving False Positives, ensuring that names pass through only in case of an Accurate Name Match for the entire name. It means that the engine has the ability to produce sufficient phonetic proximity as justification for Alerts.

ENHANCE YOUR CURRENT AML SYSTEM WITH ADVANCED CAPABILITIES

REDUCTION OF OPERATIONAL COSTS

Saving up to 90% of operations related to manual resolution, which results in saving working hours, operational burden and overall costs

REDUCTION OF FALSE POSITIVES

The exceptional ability to ensure Accurate Name Matching and filter out the vast majority of false Alerts  provided by Phonetic Fingerprint technology 

EXPLAINABILITY & CONSISTENCY

Logic-based end-result with managed threshold(s). Configurable processing mechanism with consistent scores & outcomes

EFFICIENCY

‘Accurate name match’ with high phonetic proximity, ensures reliable, accurate and efficient screening. No missed hits, couples with significant reduction of false positives

PHONETIC-LINGUISTIC ENGINE AT THE CORE

  • Emulates the filtering process carried out by compliance teams in a manner, similar to how Human-Eye and Human-Logic process alerted names, looking for “matches.” In the other words, it filters out most of the False Positives received as an output of standard rule-based AML systems.
  • Uses additional parameters to verify a ‘Match’ : DOB, Address, etc.
  • Contains Smart Persistence Mechanism that keeps in its memory past decisions. By means of an automated process designed for ongoing verification, the Persistence Mechanism resolves 60% of Potential Alerts automatically.

AUTOMATIC ALERT SUPPRESSION VS. MANUAL PROCESSING

INSIGHTS: CHALLENGES

FACING HIGH RATES OF ALERTS & FALSE POSITIVES

Most of currently available AML tools produce high Alert Rates and, consequently, high rates of False Positives per Alert. As a result, an enormous number of cases must be resolved manually by the compliance teams, which leads to significant operational burden and costs, not to mention noise within the operation that causes possible hits to be missed.

The cause for high level of Alerts & False Positives lies in a poor ability to match names accurately. At the same time FI’s are pressured to set fuzzy logic threshold at a higher level in order to prevent Missed Hits. This increases False Positive rates even further.
In response to this problem, compliance solutions add rule-based mechanisms, initiated by humans, aimed at reducing the number of alerts. Thus, the system can no longer fulfil the purpose it was designed for in the first place.

Attempting to solve this issue, FI’s are adding AI-based solutions that try to learn, emulate human decisions, and improve upon the rules added by people. However, this only amplifies the problem caused in the first place, by a shaky foundation, which is based on an outdated technology, the technology that was not designed for and, therefore, cannot achieve reasonable linguistic and phonetic proximity, i.e., Accurate Name Matching.


Fincom’s Alert Suppression Module helps considerably decrease the rate of Alerts & False Positives and provide accurate results with its unprecedent ACURATE NAME MATCHING capability

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