Behavioral Biometrics & Session Monitoring
Uncover Risky Behavior Across the Customer Journey
Continuously monitor how users type, navigate and interact to spot coached fraud, muling, account takeover and add friction only when behavior calls for it.
Trusted by the World’s Most Ambitious Companies
At a glance
How Session Monitoring & Behavioral Biometrics Fit Into Your Fraud Strategy
Understand suspicious interactions, connect them to the user’s session and use that context in SEON’s fraud rules and to guide investigations.
Who it’s for
Fraud teams
Risk & compliance
Login & activity monitoring
Built for Fraud and Risk Teams
Gives teams visibility into suspicious interactions and the session activity surrounding account behavior and actions.
The Problem it Solves
bots
Automation
Account takeover
Vishing
Catches Bots and Hijacked Logins
Flags automated form fill-out, abnormal typing and mouse movement, plus device farms and remote access, so stolen credentials do not pass as the real user.
where it applies
fintech
payments
igaming
retail
Financial services
Works Across Every Major Industry
Deployed at login, registration and payment authorization, most often against account takeover, new account fraud and social engineering scams.
How it fits your stack
Device Intelligence
AI & ML
Case Management
Built into Device Intelligence
Behavioral signals arrive through the JavaScript, Android and iOS SDKs as suspicious flags in the Fraud API, scored next to device and network data in the Scoring Engine.
WHAT STATIC CHECKS MISS
Detect & Investigate Fraud With Added Behavioral Context
See the full session activity, including the timeline, every page visited, behavioral biometrics signals, remote access risk and other contextual risk flags, adding rich context to investigations.
Follow the Entire Customer Journey
Spot Suspicious Human & Automation Behavior
Spot Signs of Remote Access & Coaching
Reconstruct What Happened
Integration
Monitor the Customer Journeys That Matter to You
Add Session Monitoring to your web, Android or iOS app wherever you need behavioral context. Link sessions to SEON’s Fraud API to bring that context into your rules and transaction investigations.
Discover How Companies Win
“Setting up rules is easy. There’s a whole bunch of logic that we’ve just started playing with – the velocity checks when you change the device, the amount spent over a month, and so on. It gives us much more confidence that we can safeguard our customers’ accounts long-term. We’ve reduced account takeovers by 30%.”
Daniel Martinez
Head of Operations, Rebtel
“With SEON, we immediately improved how we monitor login and account activity, which cut our chargeback rates by 50%. Before, identifying an account takeover took days, costing our customers and us significantly.”
Joeran Kiencke
Manager Risk Operations, Lottoland
Learn More About Behavioral Biometrics
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The #1 AI Platform for Fraud Prevention & AML Compliance
With over 380 reviews, SEON is the market leader and G2’s best fraud prevention platform.
Frequently Asked Questions
What is behavioral biometrics?
Behavioral biometrics analyzes how a person interacts with a device or app: typing rhythm, mouse movement, touch gestures, how quickly forms are completed and how the device is physically handled. SEON collects these signals during live sessions and compares them against expected human behavior to flag automation and remote control.
Where can I use Session Monitoring?
You can start monitoring at any point in the customer journey, including during registration, when someone accesses an account or while they use your platform. Choose the pages, screens or flows you want to monitor and follow activity across them.
How does Session Monitoring work with existing fraud checks?
Link a monitored session to a Fraud API request to use its risk flags in your rules and review the surrounding activity in Transaction Details. You choose where to run fraud checks; Session Monitoring adds behavioral context around those events.
What behavioral signals does SEON analyze?
Interaction covers mouse movement, touch gestures and navigation. Input covers typing rhythm, tapping, paste and autofill. Sensor data comes from the accelerometer and gyroscope. Device characteristics include operating system, hardware, network and location. Each returns named risk signals your team can build rules on.
Can behavioral biometrics detect automation and AI agents?
Yes. Behavioral signals flag sessions that show automation, since a bot or agent produces none of the typing or cursor behavior a human does, so the activity reads as anomalous. For dedicated AI-agent detection, see our AI-agent page.
Does behavioral monitoring add friction for legitimate users?
No. SEON runs passively in the background of the pages and screens you choose. Friction applies only when your rules require it. You remain responsible for any end-user notice or consent required in your jurisdiction, and our team is happy to support your privacy setup.
Add User Behavior to Every Fraud Decision
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