Fraud.net’s AI & Machine Learning Models
– Leverage deep learning, neural networks & proprietary data science methodology
– Provide better insights for various industries:
– Financial services
– E-commerce
– Travel & hospitality
– Insurance
– And more
– Offers solutions for companies:
– Application AI
– Transaction AI
– Identity services
– Monitoring services
– Application AI and Transaction AI help detect fraud in application processes
– Identity services provide verification tools:
– Address verification
– Identity verification
– IP verification
– Phone verification
– Monitoring services include:
– Banks & payment methods
– Business email compromise
– Dark web intelligence
– Industry benchmarking
– ISP intelligence
– Continuous risk monitoring
Resources offered:
– Downloads
– Case studies
– Fact sheets
– Industry reports
– Videos and demos
– Blogs
– Webinars
– Podcasts
– Fraud dictionary
Prevents different types of fraud, including:
– Account takeover
– Application fraud
– Synthetic identity fraud
– Call center fraud
– Marketing & affiliate fraud
– Mobile fraud
– Return fraud
– And more
Target audience:
– CEOs and directors
– Technology and security officers
– Fraud managers and analysts
Aims to help companies fight fraud more effectively and efficiently. 💼🔒
