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Neuro Jump

FWA (Fraud, Waste and Abude)

Banking & Finance

Data capture & ML consulting services to map out the way to a custom

Designed and executed comprehensive test plans for fraud detection models and rule engines to ensure accuracy and reliability. Conducted API and load testing using JMeter to validate performance and system scalability under varying loads. Performed in-depth Security Vulnerability Assessments with tools like Qualys, Burp Suite, and Tenable Nessus to identify potential security risks, compliance gaps, and vulnerabilities, ensuring the system met industry standards for data protection and regulatory requirements.

Conclusion

This project highlights our commitment to delivering secure, high-performing fraud detection systems through rigorous testing and validation. By combining functional, performance, and security assessments, we ensured the solution met stringent industry standards for accuracy, scalability, and data protection.