Your device leaves a trail, we just make sure it’s legit. No clones, no fakes, just real fingerprints for real security.
Explore Shufti's Behavioral BiometricsDevice fingerprinting done right with Shufti
Not all device fingerprinting is created equal. Shufti’s device fingerprinting tool combines deep data analysis with AI-driven risk scoring to deliver fingerprints that are persistent, reliable, and resistant to evasion techniques.
Persistent device identity
Every device is assigned a stable, unique fingerprint that remains consistent even if users clear cookies or switch networks.
- Tracks thousands of browser, hardware, and OS attributes.
- Identifies repeat fraudsters attempting new accounts.
- Enables long-term monitoring of risky devices.
Evasion-resistant technology
Fraudsters often try to mask devices with VPNs, incognito mode, or emulators. Shufti detects these evasion techniques.
- Flags use of proxies, TOR, or remote access tools.
- Recognizes virtual machines and suspicious configurations.
- Differentiates between genuine users and hidden actors.
Frictionless integration
Device fingerprinting runs silently in the background, adding no extra steps for users.
- Works across web, mobile, and app environments.
- Lightweight SDKs ensure minimal impact on performance.
- Enhances trust without degrading user experience.
Industries That Rely on Shufti’s device fingerprinting solutions
How Shufti’s device fingerprinting works
Step 1 Attribute collection
Step 2Unique fingerprint creation
Step 3Cross-session tracking
Step 4Risk scoring & anomaly detection
Step 5Actionable insights
Device details are captured in real time.
- Browser type, OS, screen resolution, and plugins.
- Hardware attributes like GPU, CPU, and battery profile.
- Network signals including IP, geolocation, and time zone.
Device details are captured in real time.
- Browser type, OS, screen resolution, and plugins.
- Hardware attributes like GPU, CPU, and battery profile.
- Network signals including IP, geolocation, and time zone.
A persistent ID is generated from the collected attributes.
- Highly unique to each device.
- Resistant to cookie deletion or browser resets.
- Updated dynamically as attributes evolve.
The fingerprint links activity across multiple sessions and accounts.
- Detects multi-accounting attempts.
- Connects fraudulent behavior to shared devices.
- Builds a trust history for each device.
Each device is evaluated against risk signals.
- Flags inconsistent IP-to-device patterns.
- Identifies abnormal behavior like device spoofing.
- Provides real-time risk scores for action.
Businesses get actionable outputs to prevent fraud.
- Approve, block, or step-up verification.
- Full reporting for audits and compliance.
- Continuous feedback loop strengthens accuracy over time.
Shufti offers multiple integrations for seamless operations
API-First architecture
A single API call unlocks device fingerprinting across platforms. Built for developers, it integrates easily with existing workflows without complex customization.
SDKs for web & mobile
Lightweight SDKs for iOS, Android, and web apps ensure smooth performance. Device intelligence runs silently in the background without slowing down the user experience.
Cloud or on-premise
Deploy where your compliance or infrastructure requires. Our cloud-hosted solution scales instantly, while on-premise deployment gives you full control of data flows.
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Preventing Account takeover fraud with multilayered defense
Most account takeovers don’t start with brute force, they start with subtlety. In this whitepaper, see how Shufti’s multilayered defense uncovers the quiet signs of ATO fraud that others miss. Discover how behavioral analytics, device fingerprinting, and real-time identity verification work together to detect imposters.
Download the whitepaper
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Frequently Asked Questions
What is a biometric identification system?
A biometric identification system uses unique physical or behavioral characteristics (like fingerprints, face recognition, or device behavior) to verify the identity of an individual.
How does Shufti’s device fingerprinting work?
Shufti’s device fingerprinting technology analyzes multiple attributes of the user's device, such as screen resolution, browser settings, and IP address, to create a unique identifier. This helps verify the device and prevent fraudulent activity.
How does device fingerprinting prevent fraud, and what type of fraud does it detect?
Device fingerprinting helps identify suspicious activity by analyzing device data to prevent fraud such as account takeovers, identity theft, and transaction fraud.
Is device fingerprinting privacy compliant?
Yes, Shufti’s device fingerprinting complies with global privacy regulations, ensuring user data is processed in a secure and compliant manner.
Can fraudsters bypass device fingerprinting using VPNs or incognito mode?
While VPNs or incognito modes may obscure certain attributes, Shufti’s advanced device fingerprinting can detect irregularities and inconsistencies that help identify fraudulent behavior.
Which industries benefit from device fingerprinting?
Industries such as finance, e-commerce, gaming, and online services benefit most from device fingerprinting, as it helps prevent fraud and secures digital transactions.
How can I integrate Shufti’s device fingerprinting into my platform?
Shufti provides easy integration options through APIs, enabling seamless device fingerprinting integration into your platform to enhance security.
Take the next steps to better security.
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