Fraud prevention that grows with you
Leave rule-based limits behind. Instantly approve more good orders with ML decisioning — no manual reviews, no missed revenue.
Top brands you know have already switched to Signifyd
Explore, investigate, act: A new model for managing risk
Fraud and abuse can feel like a maze — hard to navigate and harder to solve. Signifyd’s AI-powered risk management model provides the visibility and control you need to outsmart fraud and deliver a better customer experience.
Explore
Instantly see fraud and abuse patterns, with performance automatically tracked and categorized.Investigate
An AI-powered workspace to diagnose issues, test scenarios, and uncover actionable insights.Act
Take control with an AI-powered engine that automates turning insights into action.Explore
Instantly see fraud and abuse patterns, with performance automatically tracked and categorized.Investigate
An AI-powered workspace to diagnose issues, test scenarios, and uncover actionable insights.Act
Take control with an AI-powered engine that automates turning insights into action.Choose the path that fits your business
Modern fraud prevention doesn’t have to be an all-or-nothing approach. Whether you want to test, partially adopt, or fully modernize, we meet you where you are.
Run a second look
Keep your first-gen platform in place while using machine learning as a secondary decisioning layer for declined orders.
Minimal risk, zero disruption.
Head-to-head testing
Split traffic to ML for side-by-side testing, ideally in pre-auth environments where your legacy system underperforms.
Track KPIs and compare results.
Full modernization
Retire legacy rules entirely and adopt fully autonomous ML decisioning.
Streamline operations, approve more orders, adapt in real time and shift focus from fraud management to revenue growth.
Modernizing fraud management for retail growth: Why leading retailers are switching to advanced fraud solutions
The blog explains why leading retailers are moving from legacy fraud systems to machine-learning-based solutions. Advanced fraud platforms reduce false declines, protect revenue, improve customer experiences and scale with evolving ecommerce fraud challenges.







