AI Fraud Prevention

Detect Fraud Patterns That Human Eyes Can’t

Uncover complex fraud patterns and continuously improve your fraud detection with proven AI-insights from whitebox and blackbox machine learning models.

Scale AI to detect suspicious patterns in vast datasets
Use machine learning that adapts to evolving fraud trends
Reduce fraud with real-time, AI-powered decisions

Connect with APAC Fraud Experts

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Trusted by the World’s Most Ambitious Companies

Move From Investigation to Action Faster

UNDERSTAND RISK FASTER

Turn Raw Signals Into Clear Context

Get Started in Days, Not Months

Start detecting risk from day one with high-performing AI insights powered by 900+ first-party fraud signals
Combine AI insights with rules-based decisioning to catch known and emerging threats
See exactly which signals influenced the AI insights score to understand choices and accelerate confident reviews

Read about the AI insights score

Catch Emerging Threats With AI Rule Suggestions

Identify new risk patterns as they emerge with continuously updated AI models
Receive proactive AI rule suggestions tailored to evolving fraud and AML tactics
See how each suggested rule would perform, including the expected accuracy and transaction impact

Spot threats faster with AI rules suggestions

Get Immediate Insight Into Risky Signals

Spend less time digging for information and more time taking informed action
Distill complex data and decisioning with AI summaries for alerts and transactions
Quickly spot high, medium and low risk factors at a glance to clearly guide investigations
Reduce analyst misinterpretation with consistent, easy-to-understand AI summaries that explain core signals and suggest next steps

Explore AI summaries

Train Models On Real-World Results

Strengthen detection logic with every verified decision
Apply preset labeled outcomes, like synthetic identity or bonus abuse, to make models smarter, more accurate and better adept at spotting evolving risks
Ensure consistent labeling across teams to improve model learning and reduce bias in future decisions

Learn how to label transactions

Automate Your Next Move

Eliminate repetitive manual tasks so your team can focus on high-value work
Ensure faster, more consistent follow-ups after every fraud or AML decision to maintain clean audit trails
Instantly trigger actions like tagging users, assigning labels or updating statuses

Setup post-decision automations

AI TOOLS

Move From Investigation to Action Faster Using AI Tools

Detect Fraud Patterns That Human Eyes Can’t

See the full picture instantly with AI summaries and risk signals
Understand what signals are driving the AI insights score
Expose connected users to uncover fraud rings
Reduce time reviewing flagged hits with the AML screening agent
Describe what you want to detect and let AI translate it into a filter or rule logic

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Discover How Companies Win

“I couldn’t believe how fast the results came. Our chargeback rates dropped by 91% in one month. Moreover, the number of fraud catch rates continued to improve in the following 6 months, which is the benefit of deploying a machine learning algorithm to fine-tune accuracy.”

Gergely Kalman

CEO at Unbuffered

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“We saw an immediate 25% drop in fraudulent transactions and when we layered on machine learning, we increased the accuracy of detecting fraud by an additional 15%.”

Lucrecia Vera

Partner, Solventa

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See all customer stories

Learn More About Machine Learning & AI

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Fraud Detection with Machine Learning & AI

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Blackbox Machine Learning

Blackbox machine learning detects complex fraud patterns but lacks transparency, making it best paired with explainable tools like SEON.
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Whitebox Machine Learning

Whitebox machine learning enhances fraud prevention with transparent decisions, customizable rules, and improved detection.