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Transactions & Scoring
Scoring Engine overview
The Scoring Engine is SEON's core decisioning system, designed to empower businesses with advanced fraud prevention capabilities.
Transactions overview
The Transactions page is your central hub for reviewing individual transactions in SEON.
Default rules
To help you get started from day one, SEON contains a collection of default rules.
Custom rules and parameters
Create custom rules and fight fraud your own way.
Risk signals
Risk signals are color-coded tags in SEON that highlight fraud risk at a glance. Each one is powered by rules from SEON’s fraud library, ensuring consistent and reliable signals.
Custom fields and industry-specific widgets
Learn about how custom fields appear on the Transaction Details page and other unique widgets.
Digital Footprint Widgets
Understand the hundreds of data points unlocked by SEON's Digital Footprint tools.
Automated chargeback management with SEON
SEON now has chargeback management. Find out more in this quick guide.
Similarity Features
SEON's similarity feature compares data points, looking for subtle variations in inputs such as names, emails or usernames. This is essential in identifying suspicious attempts at creating multiple accounts or evading blacklists.
Lists & Flagging overview
Learn how to manage blacklisted, whitelisted and flagged values in your account.
Rule categories
Rule categories act as folders for your rules and enable powerful customization settings.
Custom scoring and states with rule categories
Group rules and automatically apply a unique score or state to all transactions that trigger a rule in these categories.
Lightning track
Lightning track can reduce fraud prevention response times to a few hundred milliseconds.
Transaction details – General widgets
An overview of the different tabs of the Transactions Details page.
How to use regular aggregates
Starting with the basics, aggregate data is a high-level form of data that is created by combining single data points.
How to create a new filter
Filters help you get the best results with SEON, learn how to use them from our guide.
How to run a batch test
Automatically check thousands of transactions in a single batch. Upload your CSV or XLSX and review results on the SEON Admin Panel.
Assigning transactions for review
Assign transactions to other team members to review.
Streamlining teamwork with proposed system-level changes and approvals
Add an additional layer of approval for significant system modifications, such as blacklisting and rule adjustments within your SEON team.
Tagging transactions
Tagging helps categorize transactions, making reviews easier and allowing for more precise and flexible rule creation.
Clone search
Identify duplicate, synthetic or highly similar customer data values to uncover suspicious patterns or fraudulent activities.
How to run post-decision automations
Post-decision automations allow you to trigger custom workflows to handle suspicious events and users quickly and efficiently, with minimal manual effort.
Rule Configuration Guide: Best Practices for High Performance
This guide offers best practices for configuring high-performance rules in SEON's scoring engine to ensure fast, efficient, and scalable fraud prevention
Network analysis
SEON’s network analysis reveals hidden links between customer profiles with the data explorer, similarity ranking and clone search to detect fraud rings and reduce false positives.
Identity Verification
Identity verification solution
A comprehensive overview of SEON’s AI-powered identity verification solution, combining document checks, biometrics and enriched fraud signals to prevent identity fraud and support AML compliance.
Document verification
A detailed overview of document verification, covering supported documents, verification flow, fraud checks, OCR extraction, user guidance and SDK integration.
eKYC
Verify user identities in real time by matching personal data against official government, credit bureau and telco databases, enriched with fraud signals.
Selfie and liveness detection
An overview of SEON’s AI-powered selfie and liveness check that confirms user presence, prevents spoofing, and biometrically matches the user to their ID, enriched with fraud signals.
Proof of address
The proof of address verification validates residential address documents, detects tampering and enriches results with fraud signals for better detection.
Additional verification checks
An overview of field-level verification checks that validate specific data points from identity documents to enforce precise compliance rules and reduce fraud.
Duplicate detection
Detect and block repeat applicants and multi-accounting by matching biometric and identity data across all verification sessions.
Session management and configuration
Configure and manage verification sessions to reduce abandonment, control risk thresholds and optimize identity verification performance across devices and user journeys.
Integration and webhooks
Integrate identity verification into your application and automate real-time decisioning by using SDKs, APIs, hosted flows and event-driven webhooks.
Workflows
Workflows
Design, deploy, and manage end-to-end identity verification workflows using a no-code builder to dynamically route users based on risk, behavior and compliance requirements.
Building a workflow
Build and configure identity verification workflows using the visual editor to control verification steps, apply conditional routing and define final decisions.
Managing workflows
Manage, monitor and update identity verification workflows by controlling access, editing safely, and tracking performance through workflow runs and operational metrics.
Reviewing workflow runs
Find, filter and investigate workflow runs to understand the full verification journey, review results across tabs, and take manual actions with an audit trail.
Integrating workflows
Set up workflows using the Web SDK or API to run identity verification automatically and receive real-time results via webhooks.
Anti-Money Laundering
AML compliance solution
Identify and monitor high-risk individuals or entities. Run checks against global sanctions, watchlists, crime lists, PEP databases and adverse media sources.
Payment screening
Screen payments in real time against global sanctions, PEP, watchlists and adverse media.
AML data sources
A list of all lists and databases AML API will check when you run lookups.
Configure screening & monitoring settings
Learn how to configure API-based screening and monitoring settings to tailor SEON's data enrichment to your needs.
Integration methods & API access
Optimize screening with fuzzy search
Customize your AML API integration to broaden results or reduce false negatives and ensure compliance in all cases.
Entity search
The entity search functionality allows you to uncover suspicious businesses, vessels, NGOs, and other organizations.
Brazil Sports Betting Compliance (SPA Check)
Identify individuals restricted from sports betting, such as athletes, referees, coaches and immediate family members, in alignment with best practices for responsible gaming.
Search profiles
Search profiles let you match your screening intensity to each customer’s risk level.
Manual lookup & batch screening
On the Manual Lookup page, you can perform AML checks without the need for an API integration.
Review customer screening hits
Instantly access and review AML screening hits across SEON with detailed risk insights and case management tools.
AML Screening Agent
SEON’s AML Screening Agent empowers AML teams to rapidly sift through customer screening matches by identifying false positives and highlighting discrepancies. This allows analysts to make faster, more informed decisions during the review process.
AI & Machine Learning
AI and machine learning
Learn how SEON’s AI tools accelerate fraud detection with insights, summaries, rule suggestions and feedback loops.
AI insights score and explanation
Understand SEON’s real-time AI fraud probability score, how it works and how to interpret its explainability.
AI rule suggestions
Discover how SEON generates accurate, human-readable fraud rules from your transaction data.
AI summary
The AI summary tool explains in plain language why a transaction or alert was blocked, approved or sent for review.
Understanding a confusion matrix
An overview of testing rules and machine learning performance with confusion matrices created by SEON.
Email clusters
Email clustering was designed to enhance your fraud detection capabilities by identifying and grouping likely algorithmically generated email addresses.
Digital Footprint: Email & phone network scores
See how SEON’s base models provide instant risk scores, then evolve into bespoke models tailored to your data for higher accuracy.
Labeling best practices
Learn how to provide timely, precise transaction labels to improve SEON’s AI model accuracy.
Labels vs tags
Understand the difference between labels that train SEON’s models and tags that organize transactions.
How to interpret SEON's risk scores
See how SEON’s rule-based and AI-driven scores reveal fraud signals across transactions, devices, emails, phones and IPs.
FAQ - Frequently Asked Questions