Device Fingerprinting

Stop Fraudsters In Their Tracks

Protect your business from fraudsters and linked accounts by continuously analyzing real-time device and behavioral data points to block them – earlier than ever.

Stop up to 99% of multi-accounting
Reduce ATO attacks by up to 30%
Up to 50% reduction in manual review relating to suspicious account logins

Book Time With Our Experts

This form may not be visible due to adblockers, or JavaScript not being enabled.

Trusted by the World’s Most Ambitious Companies

UNMATCHED DEPTH OF REAL-TIME DATA

Detect Unusual Activity

Spot suspicious connections using geolocation, IP and behavioral biometrics like typing patterns and mouse movements to identify legitimate users and detect bots
Cluster device configurations to find duplicate or linked accounts, tracking behavioral inconsistencies that warn of account takeover attempts (ATO)
Monitor on-call status, screen sharing and carriers to detect phishing and block coercion by spotting hesitations or unusual inputs linked to social engineering scams

See the full list of data points

Catch Unusual Device Settings

Expose Hidden Risks

Flag and block suspicious tools, setups and settings across desktop and mobile devices
Identify high-risk browsers, privacy and location concealment tools – such as Tor, Brave, Linken Sphere and GoLogin – to counter evasion tactics effectively
Detect complex device environments, including virtual machine environments, unusual browser activity and automation tools, to protect your business from sophisticated threats

Learn more about device intelligence

AUTOMATe DECISION MAKING

Stay Ahead Of Emerging Threats

Combine device data and other fraud signals to continuously improve detection accuracy
Fine-tune rules based on your customers’ behavioral and device patterns and specific industry fraud vectors
Use AI to spot bot farms and fraud rings faster than the human eye using device and behavior signals

See how Kolex uses SEON to reduce manual reviews

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

Learn more about AI & machine learning

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

“SEON’s device intelligence immediately showed strong results. When you go to our checkout and press “buy,” SEON gets the device data, scans it and scores it. I also realized it could help with takeovers against fraud rings who have been trying to steal our customer accounts for years.”

Daniel Martinez

Head of Operations, Rebtel

Read story

“We rely on device intelligence to filter out junk users. We immediately saved about 6% of costs on our automated KYC checks.”

Sergey Bogdanov

Chief Risk Officer, Mokka

Read story

See all customer stories

The #1 AI Command Center for Fraud Prevention & AML Compliance

With over 350 reviews, SEON is the market leader and G2’s best fraud prevention platform.

Learn More About Device Fingerprinting

Article

Filtering Out the Fraudsters: Putting Device Intelligence to Work

Learn how device intelligence detects and prevents fraud using advanced data and behavioral insights.
Article

What Is Device Fingerprinting and How Does It Work?

Device fingerprinting uses unique device attributes to identify users and detect fraud through hardware, software, and behavior analysis.
Case study

Mokka Dropped Their Fraud Rates by Over 65%

Mokka used SEON’s device intelligence to cut costs and achieve a 65% fraud reduction, enabling smoother expansion.
Article

The Dual Path: Boosting Profitability and Security in iGaming

Advanced fraud prevention and AML solutions boost profitability, prevent abuse, and strengthen iGaming defenses.
Case study

Oxylabs Blocks Bonus Abuse and Saves 80% Review Time

Oxylabs blocks bonus abusers and cuts manual reviews by 80% with SEON, boosting efficiency without compromising fraud protection.

Frequently Asked Questions

What kind of companies use SEON?

SEON is trusted by over 5,000 businesses globally — from financial services, fintechs and payments to iGaming and eCommerce companies. Whether you’re a fast-growing startup or a global enterprise, SEON delivers advanced tools to help you take on fraud and AML compliance challenges.

What makes SEON different from other fraud prevention solutions?

SEON delivers real-time fraud and anti-money laundering prevention across the entire customer journey — dynamically assessing risk from pre-KYC to onboarding, login to transaction monitoring. Unlike black-box or point solutions, our transparent, API-first platform adapts to every touchpoint with precise, context-aware decisioning.

How quickly can SEON’s solution be implemented?

SEON is often onboarded within days, not months. Our guided process ensures quick setup and immediate effectiveness, allowing teams to see tangible fraud reduction shortly after starting.

Can SEON integrate easily with my existing systems?

Yes. SEON is built to be flexible from the ground up with modular APIs that allow you to pick and mix based on your business needs, while ensuring minimal disruption and instant compatibility with your existing workflows.

How effective is SEON in reducing fraud and AML risks?

Clients typically experience significant reductions in fraud and AML risks within days of deployment. SEON leverages behavioral analytics, real-time monitoring and customizable rules to identify suspicious activity and streamline compliance management proactively.

Does SEON offer services worldwide?

Yes, SEON delivers a real-time fraud prevention and anti-money laundering solution globally, with offices in London, Budapest, Jakarta and Austin. SEON provides localized support and expertise across Europe, North and South America and Asia-Pacific, helping you fight fraud no matter where your business operates.

What are SEON’s top five use cases?

SEON is widely used for:

Bonus Abuse & Multi-Accounting
Detects linked accounts using digital fingerprinting and social signal profiling, preventing fraudulent exploitation of promotions, especially in iGaming and eCommerce.

Pre-KYC Screening
Scores risk signals (email, phone, IP) before full KYC checks, enabling early fraud detection and optimizing compliance costs.

Login Monitoring
Identifies account takeovers by analyzing behavioral anomalies and device/browser fingerprints during login events.

Transaction Monitoring
Provides real-time scoring at the point of transaction using a custom rule engine and supervised machine learning to flag suspicious activity before it causes loss.

Onboarding Fraud Detection
Helps verify identity and spot fake or synthetic profiles during account creation using OSINT-enriched data and automated decisioning.