Fraud Prevention with MongoDB
Detect fraud, meet regulations, reduce risk
Fight fraud with data intelligence
Identity theft
Know your customer and verify their identity by unifying siloed data to create an actionable, 360-view of your customers while complying with security regulations.
Card fraud
Application-driven analytics for card fraud detection is the solution for the very real challenges financial institutions face today.
Insider fraud
Protect critical data with enhanced authentication, role-based access controls, and more granular auditing which prevents and detects unauthorized access to data.
Anti-money laundering (AML)
Detect money laundering with smarter applications that identify unusual behavior. Manage anti-money laundering (AML) compliance faster with app-driven analytics.
Secure your data
With a layered security approach, including client-side field level encryption, MongoDB Atlas ensures compliance with banking security standards.
Visualize fraud patterns
Easily create, share, and embed visualizations of your data from MongoDB Atlas to create quick, easy, real-time business insights.
Search
MongoDB’s flexible search capabilities deliver app search experiences faster, helping with use cases like sanctions screening and transaction monitoring.
Mobile apps
Quickly launch and scale secure mobile apps on MongoDB’s developer data platform, no matter how you like to build.
Time-series data
Seamlessly manage the entire time-series data lifecycle — ingest, storage, analysis, visualization, and archive.
Embrace analytics
Build smarter applications, increase the speed of business insights, and improve efficiency with application-driven analytics.
“We went live two months into the COVID pandemic. A flick of the switch and payments started flowing. We’ve had over three million transactions now. No issues, it just simply worked. With this solution we can run on any cloud provider we want.”
“As the user filled out the application with details such as name and gender, we used the real-time feature store with MongoDB and ML models to compute 100+ direct and indirect variables in real-time to determine if the user was eligible for credit.”
“We're transforming the way companies fight online fraud and protect their customer accounts. The reliability of MongoDB has allowed us to re-invest in product development and really hone in on supporting our clients. We are investing in the product, not database management.”
By incorporating advanced technologies such as MongoDB and Databricks, organizations can improve their fraud prevention capabilities, protect sensitive data, and reduce operational headaches.
Transmit Security’s modular, pre-built, plug and play Customer Identity and Access Management services built with MongoDB provides a range of capabilities for user management, authorization and authentication.
Stay one step ahead of fraud with Featurespace’s world-leading, real-time machine learning ARIC™ Risk Hub that prevents fraud and financial crime, running on MongoDB.
BigID, an industry leader for data security, privacy, compliance, and governance, integrates with MongoDB to generate data insights at scale, automate advanced discovery & classification, and more.
Fraud detection with Amazon Web Services (AWS) and MongoDB
With MongoDB Atlas as an operational data store to accommodate high-volume transactional data, coupled with Amazon SageMaker Canvas, leverage AI/ML solutions effortlessly with a no-code platform that brings the power of advanced analytics for fraud detection to your fingertips._Thumbnail_BS_Mist.svg?auto=format%252Ccompress)