AWS Fraud Detector is a managed service that uses machine learning to identify potentially fraudulent activities in real-time. It helps businesses detect online fraud such as fake accounts, payment fraud, and loyalty program abuse by leveraging pre-built models and customizable rules.
About AWS Fraud Detector
AWS Fraud Detector was launched by Amazon Web Services in 2020. It was created to help businesses combat online fraud by utilizing machine learning models and customizable rules to detect fraudulent activities in real-time. The service aimed to simplify fraud detection by providing an accessible and scalable solution for various industries.
Strengths of AWS Fraud Detector include real-time fraud detection, ease of integration, and scalability. Weaknesses may involve dependency on AWS infrastructure and potential costs for extensive usage. Competitors include Google Cloud's AI Platform, Microsoft Azure's Fraud Protection, and IBM's Trusteer Fraud Protection.
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How to hire a AWS Fraud Detector expert
An AWS Fraud Detector expert must have skills in machine learning, data analysis, and AWS services such as S3, Lambda, and IAM. Proficiency in Python or JavaScript for scripting and automation is essential. Knowledge of fraud detection techniques and experience with API integration are also crucial.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
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$ 127K
Employer Cost
$ 97K
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