Precise Risk Detection
Dynamic Update Frequencies:
Using predictive models, the system can determine the optimal update frequency for each risk segment. For example:
- Low-risk clients: Less frequent periodic updates (annually or semi-annually).
- Medium-risk clients: More frequent updates (quarterly).
- High-risk clients: Continuous monitoring or very frequent updates (monthly or weekly).
Continuous Monitoring:
- Real-time analysis:
Monitoring customer activities 24/7 to immediately detect any suspicious or unusual activity. - Use of predictive models:
Applying machine learning models to predict risks and anticipate fraudulent behaviors before they occur.
Automatic Alerts:
- Generation of alerts for suspicious behaviors:
Automatically creating alerts when suspicious activity is detected, such as transactions to high-risk jurisdictions. - Alert prioritization:
Ranking alerts by severity, allowing your teams to focus on the most critical cases first.
Integration with Sanctions and Watchlists
To ensure full compliance with international regulations, our KYC solution continuously checks your clients against global sanctions and watchlist databases:
Automated Verification:
- Integration with sanctions lists:
Automatic verification of clients against national and international sanctions lists, such as those issued by the OFAC, the European Union, and the United Nations. - Watchlists and PEP:
Verification against watchlists and Politically Exposed Persons (PEP) lists to identify high-risk individuals.
Continuous Compliance:
- Proactive monitoring:
Continuous monitoring of existing clients to detect any new listings on sanctions or watchlists. - Real-time updates:
Rapid adaptation to updates in sanctions and watchlists to ensure ongoing compliance.