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Description
This open source threat sharing platform makes use of IoCs (Indicator of Compromise) and data to detect and prevent attacks and fraud against ICT (information and communications technology) infrastructure, organizations, and individuals.
This free fraud detection software gathers and correlates Indicators of Compromise of targeted attacks and financial fraud information. In an automated manner, this open source fraud detection software can store the IOCs in a structured way. Without unmanageable complexity, MISP allows you to store and use information related to threats and malware activities. The detection of fraud or attack is fast and effective due to its sharing and collaborative analysis functionality.
- Efficient IoC (Inversion of Control) and indicators database
- Financial fraud information
- Automatic Correlation
- Flexible data model
- Vulnerability information
- Even Counter-terrorism information
- Threat Intelligence
- Sharing Functionality
- Flexible Sharing Group
- Intuitive user- interface
- Graphical Interface
The powerful features of this software help in preventing fraud, streamlining operations, and finally drive revenue growth. You can grow revenue without any risk.
With a single integrated solution, you can prevent all types of online fraud. This free finance fraud detection software protects the interaction of every customer. To detect fraudulent users, this platform employs large-scale machine learning. It helps online and eCommerce businesses to avoid fraud.
This app makes use of powerful real-time machine learning technology that helps businesses in avoiding and preventing online fraud. It believes in building a long-term collaboration with the customers. The innovative AI model automatically moderates the user reports with predictive moderation. It is considered a great tool to prevent fraud and control unviable users.
- Data Visualization
- Device fingerprinting
- Automatic notifications
- Conversion rate optimization
- Customer intent prediction
- Raw data access
- IP address analysis
- Social data analysis
- Multiple languages
- User Report Prioritization
- Sift score and formulas
- Case Management
- Context-based Chat filter
Co-authors to your solution
MIST and SIFT
Link to your concept design and documentation
https://www.circl.lu/doc/misp/
Link to an online working solution or prototype
https://www.misp-project.org/
Link to a video or screencast of your solution or prototype
https://resources.sift.com/video/about-sift/
Link to source code of your solution or prototype above. (If you submitted a link to an online solution or prototype, or to a video of your solution of prototype, you must provide a link to the source code.)
https://github.com/MISP/misp-training
Fraud-detection
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