Suspicion Detected.
Confidence Activated.
Detect true suspicion and minimize false positives with a multidimensional approach to transaction monitoring.
Understand your customers and their risk. Accelerate transaction monitoring effectiveness with SAM through an entity-centric approach.
With a multilayered approach, detect more suspicious activity while reducing the noise—all with speed and precision.
SAM: Delivering Speed and Precision
SAM ensures rapid detection of potentially illicit transactions, using advanced machine learning algorithms to guarantee precision. This system enhances your institution's ability to spot and manage risk, ensuring that you stay ahead of regulatory requirements and maintain the trust of your stakeholders.
Data
Know your customers.
Know your risk.
Detection
Multiple layers of protection
for a fortified defense.
Investigation
Swifter, smarter investigations.
SAM: Defense Layers
SAM provides robust defense layers by continuously learning and adapting to new tactics and patterns used by money launderers. This multi-tiered approach not only enhances your ability to catch suspicious activity early but also ensures comprehensive protection against evolving financial crime threats.
Retain Rules
The Critical Safety Net
Accurately detect known threats with an extensive and industry-proven library of rules
Ensure regulatory compliance
Explore Analytics
Optimize Detection
Reduce false positives and capture anomalous outliers with ML and AI
Increase efficiency and effectiveness
Uncover Risk
Connect the Network
Uncover and explore
relationships with graph
technology
Find more risk
Detect Suspicious Activity with Precision
The Power of Advanced Analytics
Harness the power of advanced analytics to detect suspicious activity with pinpoint accuracy. SAM employs sophisticated machine learning algorithms and big data analytics, which enable it to discern even the most nuanced patterns of illicit behavior and suspicious transactions. This ensures your organization remains vigilant, efficient and fully compliant with AML regulations, even in an increasingly complex financial landscape.
Segmentation
Accurate monitoring
Unsupervised machine learning delivers precise and granular customer groupings
Exact risk groupings
Optimization
Enhanced effectiveness
Machine learning analytics to assess and optimize model performance
Detect with precision
Anomaly Detection
Detect outlier suspicion
Machine learning driven detection to identify previously undetected suspicion
Discover previously unmonitored suspicion
Predictive Scoring
Risk-focused investigations
Use powerful predictive analytics to determine alert risk and focus resources on the truly suspicious activity
Prioritize high-risk alerts
Transaction Monitoring Evolution
Self-Developed Analytics
Flexibility
The tools to easily build your own machine learning analytics and enrich transaction monitoring with internal expertise
- Manage Business Risks
Connected Risk
Consolidation
Transaction monitoring must be connected across the enterprise, using extensive risk signals and disposition decisions to optimize suspicious activity detection
- Enhanced Accuracy
Collective Intelligence
Collaboration
The power of many is greater than the power of one. Leverage industry-trained models to detect emerging threats and increase the effectiveness of existing models
- Shared Expertise
