The pace of innovation in fraud prevention is accelerating, and so are the stakes. As AI reshapes both digital commerce and cybercrime, businesses need solutions that can spot suspicious behavior, make smart decisions, and respond quickly.
That’s why we’re proud to share that Sift has been named a Leader in QKS Group’s SPARK Matrix™: eCommerce Fraud Prevention Solutions, Q4 2025.
The SPARK Matrix™, published by global advisory firm QKS Group, provides an independent evaluation of vendors based on technology excellence and customer impact. Sift earned the distinction of being the highest ranked independent company in the report, underscoring our role as a trusted, AI-powered fraud platform delivering identity trust for global brands.
The Evolution of Fraud Prevention
According to QKS Group, the next phase of eCommerce fraud prevention will be defined by intelligence, integration, and identity. Traditional point solutions that address isolated threats are giving way to connected, AI-driven platforms that bring together fraud prevention, identity, and cybersecurity.
This shift aligns perfectly with our vision and the platform we’ve built. As fraud becomes more automated and tied to identity, businesses need end-to-end visibility across the digital journey and the flexibility to respond fast to new threats.
Why Sift was Recognized as a Leader
In its SPARK Matrix™ analysis, QKS Group highlights how Sift brings together data, flexibility, and scale to stay ahead of modern fraud threats. Specifically, the report cites:
- Comprehensive data integration with pre-built connectors, flexible APIs, and real-time data synchronization, giving businesses a complete, actionable view of the digital customer journey.
- Advanced machine learning that adapts across global, industry, and custom models, continuously learning from Sift’s network to stay ahead of evolving fraud.
- Real-time detection and interdiction that quickly identifies anomalies and blocks high-risk activity before it impacts revenue or customers.
- Sophisticated alerts and case management provides users with real-time alerts and a centralized case workspace where analysts can triage, investigate, and resolve events.
- Strong visualization and reporting through a centralized console that surfaces risk signals, model outcomes, and operational KPIs in configurable views, with drilldowns to users or events.
- PSD2/SCA program support including dynamic friction, transaction risk analysis, and exemption optimization to ensure compliance while maintaining smooth customer experiences.
QKS Group analysts noted that Sift’s balanced approach to advanced AI and practical implementation stands out in a rapidly evolving market:
“Sift has established a differentiated position in the market by architecting a platform that balances sophisticated machine learning with operational practicality,” said Divya Baranawal, VP Research at QKS Group. “What stands out is their ability to serve diverse high-velocity sectors—from retail to fintech to gaming—with a unified intelligence framework that learns across verticals. This cross-industry data advantage, combined with their focus on reducing analyst workload through generative AI and intuitive workflows, positions them well to address the evolving complexity of eCommerce fraud.”
Leading the Way Toward Intelligent, Identity-Driven Protection
This recognition is both validating and motivating. It reflects where the industry is headed and the shared success of our customers who continue to innovate with us.
Fraud has shifted from a payments problem into an identity problem. Stopping it takes collaboration, continuous learning, and technology that can adapt as fast as attackers do.
We’re building a future where businesses can grow confidently, customers can transact freely, fraud teams can work efficiently with AI instead of being overwhelmed by it.
Access the Full Report
Get your complimentary copy of the QKS Group SPARK Matrix™: eCommerce Fraud Prevention Solutions, Q4 2025 to see why Sift was named a Leader and how our AI-powered platform is redefining online trust.
