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Shufti MCP
Behavioural Biometrics
Behavioral Biometrics Solution That Verifies Users by How They Move
Shufti’s behavioral biometrics solution captures 230+ passive signals across the user journey, including onboarding, payments, and high-risk actions, with decisions delivered in under 30 seconds.
Authentication Beyond Login
Behavioural Intelligence, Built on Science
Detection Grounded in Science
Genuine pointer movement carries motor-control patterns that automation cannot reproduce at scale. Shufti intelligently reads micro-timing, trajectory shape, and motion cadence to separate real users from synthetic input.
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.
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.
Audit-Ready by Design
Users are continuously 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.
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.
Every score ships with human-readable reason codes, so reviewers and regulators can see exactly why a decision was made, wherever you operate.
Single API, Seamless Integration
Build fully customisable 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.
Launch a native verification experience in your mobile 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.
With KYC Journey Builder, create personalised verification journeys without writing a single line of code.
- Customise your journey effortlessly with drag-and-drop functionality.
- Instantly see how your verification flow looks for your users.
- Easily connect with Hosted Verification for a consistent, branded experience.
Run Shufti within your own identical-capability infrastructure for maximum data control and privacy.
- Keep all sensitive information in-house to meet strict governance and data residency requirements.
- Keep sensitive information fully private and secure in-house.
- Deploy in highly regulated sectors without compromising compliance.
Built for Every Sector
Where Behavioural Intelligence Pays Off
Mule Accounts, Seller Fraud Exposed
At seller signup, payout enablement, and listing changes. Shufti detects mule-account rings, multi-account farming, and impostor sellers before they touch payouts.
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, compliant 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.
We’re proud to continue our partnership with Shufti as we expand into new jurisdictions.
Shufti’s verification technology not only strengthens our compliance framework but also ensures our players enjoy a smooth, secure onboarding experience.
We aim to offer our clients and their traders the very best tools with which to do their jobs, we’re excited to be able to work with Shufti.
They’re a leading company, and we’re looking forward to offering their solutions to our clients through our CRM.
The relationship with Shufti was born out of frustration with an existing provider, so we started our discussion with Shufti.
The response time was excellent, from the start of speaking to sales to getting up and running with the demo.
EVERYTHING YOU NEED TO KNOW IN ONE PLACE
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.
Your Go-To for KYC/AML & Fraud
Resources
16 October, 2025
Preventing Account Takeover (ATO) Fraud With Multilayered Defense
Account takeover rarely trips a single control. Shows how ID checks, device intelligence, behavioural biometrics and liveness detection work together to stop it.
Guide
