BEHAVIOURAL BIOMETRICS

Verify Every User by How They Move.

Captures 230+ passive behavioural signals. From onboarding to payments to high-risk actions. Decision in under 30 seconds.

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Live Session Scoring card — behavioural confidence score 93/100, keystroke dynamics, pointer trajectory, scroll rhythm, and session timing signals

WHERE DOCUMENT AND FACE CHECKS END, BEHAVIOUR BEGINS.

Continuous Behavioural Intelligence. Zero Friction for Real Users.

>95%

Accuracy — low friction, high detection.

230+

Signals — passive session intelligence.

2k+

Businesses trust Shufti worldwide.

Trusted By 2000+ Clients Worldwide

Why Shufti

Behavioural Intelligence, Built on Science

Detection Grounded in Science

Movement Real Humans Cannot Fake

Genuine pointer movement carries motor-control patterns that automation cannot reproduce at scale. Shufti reads micro-timing, trajectory shape, and motion cadence to separate real users from synthetic input.

230+ Signals, One Decision

Every session is measured across 230+ passive behavioural features, from keystroke dwell and flight to scroll rhythm and session timing. The signals combine into a single, defensible risk decision built to stand up to scrutiny.

Coerced and Mid-Session Threats Surfaced

Mid-session takeovers and coerced-user behaviour are flagged the moment patterns drift from a returning user's own baseline. Genuine users keep moving, Threats do not.

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Spoofs detected mockup — detection signals across photo, mask, replay, and AI-generated face attacks.

Audit-Ready by Design

Continuous, Not One-Time

Users are evaluated from entry to exit, not just at login. Real-time scoring with clear outcomes: genuine, risky, or unknown and human-readable reason codes that drop straight into existing decision workflows.

Privacy at the Architecture Layer

Models contain no personally identifiable information and no biometric identifiers. Privacy isn't a policy bolt-on, it's built into how the system is designed.

Explainable Decisions, Every Time

Every score ships with human-readable reason codes, so reviewers and regulators can see exactly why a decision was made, wherever you operate.

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Friction removed mockup — passive verification flow without prompts or challenges.

Built for Compliance: Go live in minutes with our flexible API and lightweight SDKs

Single API, Seamless Integration

Build fully customizable verification flows with seamless backend integration.

Gain full control by customising verification flows end-to-end.
Integrate seamlessly with your backend for quick implementation.
Design flexible verification journeys tailored to your users.

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RESTful API integration mock — code editor showing import requests / api.shufti.com / response.json() / VERIFICATION_URL

Launch a native verification experience inside your iOS or Android app within minutes.

Launch native verification within minutes on iOS or Android.
Use ready-made UI with camera, capture, and real-time feedback.
Customise flows to fit seamlessly into your mobile app.

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Lightweight SDK mock — mobile screen with camera capture and verification status

With KYC Journey Builder, design personalised verification journeys without writing a single line of code.

Customise your journey effortlessly with drag-and-drop functionality.
Instantly preview how your verification flow looks for your users.
Easily connect with Hosted Verification for a consistent, branded experience.

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Journey Builder mock — drag-and-drop visual flow editor for verification journeys

Run Shufti within your own infrastructure for maximum data control and privacy.

Keep all sensitive information in-house to meet strict governance and residency requirements.
Maintain full data sovereignty with secure, isolated processing.
Deploy in highly regulated sectors without compromising compliance.

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On-Premise Deployment mock — server architecture diagram showing self-hosted Shufti deployment

Built for Every Sector

Where Behavioural Intelligence Pays Off.

Account Takeover, Detected in Motion

At login, payments, and account changes where credentials and device look legitimate. Shufti scores behaviour against the user's own historical profile and flags account takeover the moment patterns drift.

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Don't just take our word for it, hear from our customers

The Confidence Our Clients Share

The future of digital identity is defined by trust, interoperability, and regulatory alignment, so our partnership with Shufti reinforces DevCode Identity's commitment to supporting our global customers with the most secure, best-in-class, complaints identity verification solutions available today.

Combining our Conversion Driven Compliance Orchestration Platform with Shufti's global KYC and IDV capabilities allows our customers not only to navigate complex regulatory demands but also to maintain a seamless customer onboarding experience with the highest achievable conversion rates.

Mark Knighton

Chief Global Development Officer - Global Alliances, DevCode

Frequently Asked Questions

What is the difference between behavioural biometrics and device intelligence?

Device intelligence profiles the machine (browser, hardware, IP). Behavioural biometrics profiles the interaction (how the user types, moves, scrolls, paces). A stolen device passes device intelligence; a coerced user on a legitimate device passes device intelligence. Behavioural biometrics catches both and Shufti combines device intelligence as one of ten signal layers inside the behavioural score.

What happens when a user has no behavioural history?

New users are scored from session one against population-level fraud baselines trained on cross-vertical data. No cold-start delay. Personalised profiles build automatically over subsequent sessions.

How are AUC 0.93+ and FAR 0.9% measured?

AUC is measured internally against labelled fraud-versus-genuine session data, against an industry benchmark of 0.80–0.88. FAR is measured on the same labelled evaluation set, against an industry range of 1–2%. Independent third-party validation of the behavioural module is on the roadmap.

Passive or active behavioural authentication?

Passive. Signals are captured at the event-listener layer while users interact normally. No CAPTCHA, no gesture, no user awareness. Legitimate users experience no interruption and fraudsters cannot opt out.

Can Shufti deploy on private cloud or on-premises?

Yes. Signal extraction runs at the event-listener layer inside your own interface and does not depend on any third-party data source. Deployment is supported across regional cloud, private cloud, and on-premises, including air-gapped configurations for the highest-assurance estates.

How often is the behavioural model retrained?

On a continuous cadence against the cross-vertical labelled fraud corpus. New fraud patterns propagate into the shared model without customer-side intervention. Customer-specific fine-tuning is available for enterprise deployments.

How does Shufti address demographic bias?

Model features are motor-control and interaction-timing signals, not biometric identifiers. The model does not learn ethnicity, gender, or age. Regional accuracy is tested on held-out evaluation sets, and variance is reviewed on every retraining cycle. Bias mitigation is documented in the EU AI Act conformity pack.

Is Shufti ready for the EU AI Act high-risk regime effective 2 August 2026?

The architecture aligns with EU AI Act requirements: no PII or biometric identifiers in the model, human-readable reason codes for explainability, human-oversight surfaces through the back-office console, and technical documentation supporting conformity assessment provided in the enterprise onboarding package.

How does integration work?

REST API for full orchestration, native iOS/Android/Web SDKs for event-level capture, and webhooks for real-time payloads. Sandbox in under 5 minutes, 7-day trial on your own traffic. Journey Builder provides no-code orchestration across all five verification layers.

See the Fraud Your Stack Is Letting Through.

Shufti scores every user by how they move. 230+ passive signals, captured continuously, scored in real time. Bots, account takeovers, synthetic identities, and money mules caught across onboarding, login, payments, and high-risk actions. One API. One audit trail.

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