Backed By Kount
AI-driven fraud prevention and identity trust platform for real-time risk analysis and transaction protection.
Kount uses AI and machine learning to analyze digital transactions in real time, detecting and preventing fraud while enabling seamless customer experiences. Its Identity Trust Global Network aggregates data across billions of interactions to assess risk, automate decisions, and reduce chargebacks. Kount is trusted by e-commerce, financial, and enterprise clients for scalable, adaptive fraud management
Automated report generation
Customer query analysis
Code documentation assistance
Market trend prediction
Payment Fraud Protection
Account Takeover (ATO) Protection
AI and Machine Learning Risk Scoring
Omnichannel Fraud Protection (Web, Mobile, App)
Digital Identity Trust (Device Fingerprinting, Geo-Location)
Kount Control (Account Takeover Protection)
Configurable Rules Engine (Kount Command)
Real user experiences from across different platforms
Kount is incredibly powerful at reducing chargebacks. The speed is phenomenal, and the rules engine is granular enough to handle our complex global fraud patterns. It took a while to get the rules perfectly tuned, but the ROI is clear.
VP of E-Commerce
Recent
izable, powerful rules engine paired with deep AI/ML.
ount Fraud is a significant risk.
volume (due to high cost).
SDK integration and rules management.
Reduces fraud losses, lowers manual review costs, and increases sales by optimizing the approval of legitimate transactions (reducing false positives). Its strength lies in its extensive data network and robust AI that provides highly accurate, real-time trust decisions.
Pricing is not transparent and can be expensive for businesses with low transaction volumes or high manual review rates. The initial integration and rules customization can be complex, requiring dedicated technical resources. The user interface, while powerful, is sometimes criticized for being less intuitive than newer competitors. Reliance on Equifax data sources could pose vendor lock-in risk.