Achieving compliance is the central goal of the Consumer Product Safety Commission’s enforcement efforts. Commission policy encourages companies subject to the Commission’s regulations and oversight to develop rigorous compliance programs that help minimize the potential for violations.

To foster compliance, the Commission has issued several policy statements that address the importance and ideal elements of compliance programs. As discussed in the Commission’s Penalty Guidelines, when considering whether credit for a compliance program is appropriate in determining a civil penalty, the Commission will look for the following:

1. Role of senior management in fostering compliance
2. Effective preventive measures to ensure compliance
3. Prompt detection, cessation, and reporting of violations
4. Remediation efforts

PolyVista helps businesses by providing compliance and surveillance solutions to detect potential market manipulation, anticompetitive behavior, improper conduct, anomalous activity, and more. PolyVista's solution is flexible enough to keep pace with changing regulatory demands.

PolyVista's adaptive analytics solution is a self-adjusting approach that can surface anomalous events, regardless of changing conditions or variability in what is considered “normal.” PolyVista's solution surfaces red flags without setting specific tolerance levels or restrictive constraints, which usually requires upfront tedious and time-consuming building and maintenance of definitions. The most significant characteristic of PolyVista's approach is its ability to remain effective over time, despite changing business conditions. PolyVista's solution is flexible enough to keep pace with changing regulatory demands, and its moving time window self-adjusts for changing business conditions.

Benefits of PolyVista's adaptive analytics solution include:

1. Flagging significant changes in behavior (deviations from "normal")
2. Identifying non-compliance issues
3. Providing trade surveillance to monitor activities for market manipulation, fraud, behavioral patterning, and more
4. Offering a moving time window that self-adjusts for changing business conditions
5. Providing self-adjusting limits (minimizing false positives)
   1. The objective is to flag significant changes in behavior (i.e., deviation from normal) while accounting for normal variation and changing business conditions. Self-adjusting limits do not require setting specific limits or thresholds to flag events or issues.
6. Allowing for multi-dimensional search
   1. This solution can apply the same rule and deviation logic across any combination of trade attributes, like trader, counterparty, time, deal type, and more.
7. Providing anomaly detection via numerous algorithms and visualization methods
   1. Prebuilt, user-configurable algorithms provide highly customizable data scans.
   2. Algorithm configuration wizards assist in selecting target measures, establishing the scope of search, and setting applicable filters or constraints.
   3. Results of data scans are immediately available for follow-up queries and vetting.
   4. Visual techniques highlight unusual patterns or deviations.
8. Utilizing a statistical scoring algorithm
   1. This feature indicates how unusual the activity observed in a particular area of the business is, with respect to previously observed activity.
   2. Both large and small instances of unusual activity can be highlighted.

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