AI & Machine Learning

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.

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Trusted by the World’s Most Ambitious Companies

ADAPTIVE AI BLACKBOX MODELS

Stay Ahead of Emerging Threats

Implement pre-built blackbox machine learning models for instant, superior fraud detection
Algorithms adapt to emerging threats in real time to protect your business from evolving fraud strategies
Continuous learning exponentially improves fraud detection over time

Discover how our blackbox machine learning works

INCREASE PRODUCTIVITY

Improve Fraud Team Efficiency

Customize ready-to-deploy, whitebox-suggested rules and automation to help your fraud team work smarter
Use heuristic rules informed by historical transaction data to block fraud attempts in real time
Automatically cluster and analyze data insights to quickly detect multi-accounting and bots

How to put whitebox machine learning to work for you

IMPROVE DETECTION ACCURACY

AI-driven threat detection proactively fights fraud for your business around the clock
Set customizable risk thresholds to filter out fraudsters while letting genuine customers transact with confidence
Identify fraud patterns ahead of time to significantly lower the chance of financial losses

See how Solventa used machine learning to improve accuracy

Post-Decision Automation

Ensure Consistency in Policy Handling

Increase efficiency by reducing manual, repetitive tasks
Increase confidence that every case is managed in the same way with automated tagging and labeling
Improve system clarity by consolidating scattered actions into a streamlined flow

How to run post-decision automations

Choose How to Integrate with SEON

The choice is up to you: integrate directly with SEON’s APIs or through the AWS Marketplace.

Read the technical docs

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, 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 AI & Machine Learning

Article

Fraud Detection with Machine Learning & AI

The world of fraud detection is changing fast, and machine learning (ML) is at the forefront of this transformation. Financial…
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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.

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