Crypto
Secure Transaction Monitoring
Monitors blockchain transactions for anomalies and suspicious activity, ensuring compliance with anti-money laundering (AML) regulations and protecting against fraud.
Objective
- Monitor blockchain transactions for anomalies and suspicious activity to prevent fraud.
- Ensure compliance with anti-money laundering (AML) regulations in the rapidly evolving crypto space.
- Protect crypto platforms and users from financial losses due to fraudulent behavior.
Outcome
- Early detection of fraudulent or suspicious transactions, reducing financial losses.
- Compliance with AML and other regulatory frameworks for crypto transactions.
- Improved security for crypto platforms and enhanced user trust.
- Reduced false positives, ensuring that legitimate transactions are not flagged unnecessarily.
Business Value
- Safeguard platform revenue by preventing fraudulent transactions and ensuring regulatory compliance.
- Increase user trust by providing a secure transaction environment.
- Reduce operational costs associated with manual fraud detection processes.
- Stay ahead of emerging fraud techniques with continuously evolving fraud detection models.
Data Approaches
- Anomaly Detection for Blockchain: Use AI to detect anomalies in transaction patterns and flag suspicious activity in real time.
- Unsupervised Learning for Fraud: Identify new, unknown types of fraud using clustering techniques on blockchain data.
- AML Compliance Monitoring: Ensure transactions meet regulatory requirements for anti-money laundering.
- Explainability for Audits: Provide transparency on why certain transactions were flagged, supporting compliance and trust.
