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Sanction Challenger

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Ensure the robustness of your sanctions control process

Fines for non-compliance with financial penalties can reach up to $400 million. To protect against this, our AI solution tests the effectiveness of your filtering tool by automatically creating test cases and setting up easy and responsive investigation processes.

Functionalities

    Audit your filtering tools

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    Audit your sanctions screening tools against the major lists (US, EU, UN) by generating test cases based on name variations.

  • How to proceed?

    Manually test entries using a search engine that mimics the behavior of a penalty filtering tool.

    Screen SC 2
    Analyze the delta between your tools' results and the results obtained to identify the types of variations that your tools struggle to detect. Use remediation plan suggestions.

FACTS & FIGURES

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    A wide automation

    Automate 90% of the tasks associated with the sanctions audit.

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    A wide coverage

    Coverage of all major international sanctions lists.

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    One centralized HUB

    Centralize processing and reporting to create an audit trail.

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Our publications

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Boosting search engine capabilities of RegReview:…

RegReview is an AI solution for compliance teams, to automate regulatory monitoring and processes, which brings together several tools, the most essential of which is a search engine operating on a compiled database of custom-built regulatory sources.

The database contains ~300k documents.

2023

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Article title

Labeling text clusters with keywords

We propose to explore several keyword extraction techniques to label text clusters obtained after a Text Clustering or a Topic Modeling pipeline. This work is following our previous articles about Topic Modeling and Text Clustering (here and here).

2023

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Synthetic data or how to share sensitive data…

For a period of six months, 5 students from Centrale Supélec and ESSEC worked collaboratively with Sia Partners on building a Python library to create fake - which we'll call synthetic - data.
But what's the point of creating fake data? How could it help organizations?

2023

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See our publications