Siron® One adopts an AI-first approach, streamlining compliance processes through advanced detection and intelligent alert optimization. Using adaptive machine learning models, Siron® One ensures precise real-time detection and prevention of financial crimes. This AI-driven strategy sets new standards for efficiency and effectiveness in safeguarding against financial threats.

Optimize Alert Management through Predictive Analytics

Siron® One’s ML-based Alert Prediction Scores enable users to prioritize alerts efficiently, focusing on those that require immediate attention. This ensures timely handling of alerts, facilitates swift decision-making, mitigates risks, and minimizes investigative efforts. The advanced predictive analytics reduce false positives, identify emerging criminal activity patterns, and ensure business compliance.

Enhancing Customer Profiling with Advanced AI Models

Siron® One uses behavioral clustering to group similar behaviors and identify broader patterns, while entity deviation scores detect individual behavior changes and deviation from their groups. Together, these AI/ML models enhance customer profiling to improve alert accuracy and response effectiveness.

Detect Hidden Links and New Patterns

Siron® One’s AI capabilities, including machine learning and deep learning, detect new criminal patterns using Transaction Deviation Scores for transaction monitoring and fraud detection. Intelligent Name Screening finds the most likely name matches to reduce false positives, while IMTF Link Analysis maps common counter-parties and connections to assess customer risk and behavioral context for KYC risk scoring.

Optimize Risk Assessment with Gen AI

Siron® One uses Gen AI to summarize and classify adverse media articles, identify involved entities for further investigation, and to provide a concise summary of the specific risk situations for customers. With Gen AI, suspicious activity reports can be pre-populated and then edited by compliance officers.