Sources and datasets
This documentation, including images, videos and text, is accurate as of Version 6.0 of Pascal.
We strive to keep our documentation up to date with each release to ensure it remains a reliable resource for our users. However, given the dynamic nature of our software development, there might be instances where changes introduced in subsequent versions are not immediately reflected in this documentation. We encourage users to refer to the latest release notes and to use the feedback mechanism for any discrepancies or requests for clarification.
Pascal has six different categories: Sanctions, Enforcements, PEPs, Media and Other. In these sources, hits can be found in during screening.
The sources and dataset Pascal provides are:
- Sanctions; with the provided dataset Insight: Sanctions.
Sanctions are penalties issued by a government imposed as a tool to enforce compliance or influencing behaviour. Sanction screening aids in identifying individuals or entities subject to economic sanctions, enabling compliance with legal obligations and preventing unauthorized transactions with sanctioned parties. - Enforcements; with the provided dataset Insight: Enforcements.
Enforcements ensure compliance to laws and rules through penalties for non-compliance. Enforcement screening plays a vital role in identifying and assessing legal restrictions and penalties applicable to individuals or entities, ensuring compliance and minimizing potential legal risks. - PEPs; with the provided datasets Insight: PEPs and PEP Desk (by Info4c).
PEP (Politically Exposed Person) is an individual who is or has been entrusted with a prominent public function or is closely associated with someone in such a position. PEP screening helps identify individuals with prominent political positions or connections, enabling enhanced due diligence measures to prevent corruption, bribery, and illicit financial activities. - Media; with the provided dataset Insight: Media.
Adverse and negative media screening plays a crucial role in identifying negative news or information about individuals or entities, enabling proactive risk assessment, reputation management, and fraud prevention. - Other; with the provided datasets Insight: ICIJ and Insight: Yale CELI.
Screening on non-categorisable datasets plays a vital role in gathering comprehensive information, enabling a holistic view of risk and facilitating effective risk management and control measures.