Device Intelligence Solution

Expose the Risk Behind Every Device

Turn every interaction into a source of risk insight by connecting action to intent. SEON’s device intelligence analyzes hundreds of real-time signals to surface emulators, hidden proxies and remote access, catching multi-accounting in real time.

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Trusted by the World’s Most Ambitious Companies

SHARPEN DEVICE RISK PROFILING

Every Device Tells a Story. Verify the User Behind It.

Modern risk assessment depends on understanding signals across hardware, software, network and behavior, including how devices are used and how users interact over time. When these activities are combined into a real-time risk profile, it enhances scoring accuracy and automation efficiency.

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EXPOSE HIDDEN RISKS

Turn Every Device Interaction into Insight

Make Connections Between Risky Users Using Unique Device Signals

Recognize returning devices, even after resets, spoofing or session changes using a persistent device ID built from network and behavioral signals
Expose anonymizers like VPNs, residential proxies and mobile relays to understand where traffic is really coming from
Link devices across accounts and sessions to uncover multi-accounting and fraud rings

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Spot Risky Devices Instantly Without Slowing Good Users Down

Detect risky behavior in real time during login by identifying remote access, screen sharing and device spoofing
Identify emulators, virtual machines and tampered environments before they’re used to bypass controls
Flag synthetic setups and device farms by combining behavior (typing, mouse movement) with device and network signals

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Turn Device Data Into Confident Decisions

Tie every decision to the signals and rules that triggered it, giving your team clear, actionable evidence
Group device signals into clear risk patterns like unusual behavior, location mismatches and automation, so teams can quickly understand what’s happening
Show exactly why a device is risky with clear explanations instead of raw technical data

See how Kolex uses SEON to reduce manual reviews

Decide What Happens Next Based on Device Risk

Use device signals directly in your fraud and risk workflows across the full customer journey
Build rules that decide what happens next based on device risk and combine them with other signals
Apply the same logic across teams and use cases to reduce manual reviews and keep decisions consistent

Choose How To Integrate SEON’s Device Intelligence

Deploy lightweight SDKs for iOS, Android and web to get access to unique fingerprinting signals across your user base. Get millisecond-fast risk intelligence without compromising the user experience.

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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

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“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

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See all customer stories

Learn More About Device Intelligence

Case study

How a Global Digital Network Achieved 27x ROI by Automating Fraud Prevention

A global technology organization faced growing fraud risks that threatened its financial sustainability and operational efficiency.
Thought Leadership

Filtering Out the Fraudsters: Putting Device Intelligence to Work

Learn how device intelligence detects and prevents fraud using advanced data and behavioral insights.
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VPN Detection: How to Spot Anonymized Traffic and Stop Fraud

How VPNs are detected, and what VPN use might mean.
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IP Fraud Score: How IP Analysis Works for Fraud Detection

IP address analysis is one of the most established methods for spotting online fraud. If you’re reading this, you’re already…
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What Is Browser Fingerprinting & How Does It Work?

Tracking and understanding browser data is a fantastic tool to reduce fraud rates at your firm.
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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.

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Device Intelligence Solution FAQs

What is a device intelligence solution?

A device intelligence solution collects and analyzes data from user devices to identify fraud risk. It examines hardware attributes, software configurations, network characteristics and behavioral patterns to create persistent device profiles, detect spoofing attempts and link suspicious activity across accounts.

How does a device intelligence solution work without cookies?

SEON collects hardware attributes, software configurations, network characteristics and behavioral signals that persist independently of cookies or local storage. For example, SEON’s True Device ID combines these signals into a stable identifier that survives browser changes and cookie clearing.

Can a device intelligence solution detect mobile app fraud?

Yes. Native SDKs for iOS and Android capture device-specific attributes, including hardware identifiers, OS configurations, installed apps and behavioral patterns. Mobile-specific fraud indicators, such as app cloning and rooted devices, are flagged automatically.

How does SEON handle privacy regulations like GDPR?

SEON collects device attributes rather than personal identifiers. Data collection follows privacy-by-design principles and configuration options let you align the fingerprinting scope with your regulatory requirements and privacy policies.

What happens when fraudsters attempt to spoof device fingerprints?

Spoofing attempts often create detectable inconsistencies. SEON identifies mismatches between reported attributes and actual device behavior, flagging attempts to manipulate fingerprints or emulate different device types.