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Secure Capture
Fraud Analytics
Detect and Prevent Fraud Before Onboarding Completes
Shufti applies multi-signal fraud analytics across biometric, document, device, behavioural, and cross-session layers to detect synthetic identities, deepfakes, and coordinated fraud rings in real time. Real-time risk scoring enables prevention of high-risk approvals before onboarding completion.
Europe’s First iBeta Level 3 Certified Liveness Provider
Measured Across Live Production Onboarding
Catch Fraud at the Signal, Not at the Manual Review Queue
Multi-Signal Fraud Scoring
Consolidated biometric, document, device, behavioural, and cross-session signals are scored together. A synthetic identity that passes a static texture check rarely matches the behavioural signature, the device fingerprint, and the cross-session history at the same time.
Real-Time, Not Forensic After the Fact
Every signal is intelligently scored at capture time and aggregated before the verification decision returns. Coordinated rings, mule networks, and serial spoofers are identified in seconds, not after the loss has cleared the account.
Adaptive Models, Customer-Side Forensics
Shufti owns the full detection stack, no third-party liveness SDK, no outsourced model, new attack patterns feed back into production in weeks, not quarter. A forensic audit engine running independently inside the customer's own cloud account can re-examine past sessions for spoof, replay, and injection.
Beyond Single-Signal Detection
Single-signal fraud checks miss coordinated attacks across biometric, document, device, and behavioural layers.Shufti aggregates every signal into one real-time risk score, with cross-session clustering and forensic re-analysis inside the customer’s cloud environment.It is not a fraud filter, it is a multi-signal fraud intelligence layer.
The Fraud Signals Behind Every Risk Decision
Biometric Spoof Detection
Active and passive liveness across 56+ attack vectors. Texture, frequency-domain (DCT), and 3D depth analysis catch print attacks, replay attacks, screen attacks, and AI-generated face media.
Unified Risk Score
Every signal feeds a single risk score with contributing-signal breakdown and model version. Risk thresholds are configurable per onboarding journey and per market without an SDK update.
Document Tamper Detection
Hologram, UV, MRZ, and font-geometry checks catch physical and digital tampering. Tamper models trained across any government-issued document from 240+ regions actively processed, including markets where competitor models underperform on non-Western ID formats.
Behavioural Biometrics
Micro-expressions, blinking cadence, pupil movement, and gaze are scored on every capture. Typing rhythm and interaction patterns identify session anomalies before submission.
Deepfake Detection
Multi-stream RGB and frequency analysis detect AI-generated and manipulated media. Behavioral signals catch synthetic inputs that pass static checks.
Replay & Synthetic Detection
Tamper-evident capture signals flag screenshots, screen recordings, and injected video streams. NFC chip verification adds an independent attribute layer, eliminating synthetic identities that may pass document and face checks alone.
From Capture to Risk Score in Under Three Seconds
Four parallel signal streams in one pipeline
01
STEP 01
Capture
Collect biometric, document, device, IP, and session signals through the SDK.
02
STEP 02
Analyse
Run deepfake, spoof, tamper, behavioural, and device-risk models in parallel.
03
STEP 03
Score Risk
Aggregate signals into a unified risk score with configured decision thresholds.
04
STEP 04
Decide & Audit
Return explainable decisions with forensic re-examination inside the customer cloud environment.
Trust, built-in. From first verification to every future interaction
One Platform. Full Identity Lifecycle
User Verification
Onboard and authenticate legitimate users in seconds
Business Onboarding
Perform global KYB and due diligence with confidence
Authentication
Detect and block fraud at every touchpoint
Monitoring & Compliance
Proactively manage risk and maintain regulatory compliance
Trust, built-in. From first verification to every future interaction
One Platform. Full Identity Lifecycle
User Verification
Onboard and authenticate legitimate users in seconds
Business Onboarding
Perform global KYB and due diligence with confidence
Authentication
Detect and block fraud at every touchpoint
monitoring & Compliance
Proactively manage risk and maintain regulatory compliance
User Verification
Onboard and authenticate legitimate users in seconds.
Face Verification
Confirm user identity and prevent spoofing with advanced 3D liveness detection and face verification.
Address Verification
Instantly confirm a user's address from utility bills, bank statements, and other documents against global database.
Document Verification
Instantly verify government-issued identity documents from over 230 countries and territories.
Age Verification
Reliably verify user age to meet regulatory requirements and protect your platform.
VideoIdent
Conduct real-time, agent-led identity verification through live video interviews for high-assurance KYC.
Fast ID
Achieve near-instant identity verification for low-risk users using minimal data points.
eIDV
Confirm user details against trusted government and financial data sources for added confidence.
NFC Verification
Read the secure chip in a passport with a simple phone tap for the highest identity assurance.
Consent Verification
Capture clear proof that your users agree to be verified, building trust and ensuring compliance.
Business Onboarding
Perform global KYB and due diligence with confidence
Business Verification
Automate the verification of business entities by checking data from global corporate registries.
Due Diligence
Streamline your enhanced due diligence process with customizable risk assessment and data collection.
Investor Verification
Securely verify the identity and accreditation status of investors for your platform.
E-Signature
Finalise agreements and sign up new users with secure, legally binding e-signatures.
Authentication
Detect and block fraud at every touchpoint.
Behavioural Biometrics
Silently confirm it’s your user based on their unique interaction patterns.
Device Intelligence
Identify devices in real-time by analysing unique attributes to block fraud.
Multi-Factor Authentication
Add a critical layer of security to user logins and high-risk actions.
monitoring & Compliance
Proactively manage risk and maintain regulatory compliance with continuous user and transaction monitoring.
AML Screening
Screen users and businesses against global sanctions, PEPs, and adverse media watchlists in real-time.
User Risk Assessment
Generate dynamic risk scores for every user based on their profile, behavior, and transaction history.
Transaction Monitoring
Monitor financial transactions in real-time to detect and block illicit or fraudulent activity.
Built for Regulated Markets
Secure Capture That Meets Your Industry's Standards
Build Authentic Online Communities
Create a safer environment where genuine interactions can flourish. Deploy scalable identity & age verification to stop bots and fake accounts, protect younger users, and build a foundation of trust within your community.
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.
Industry Recognition & Awards
TOP 10 KYC SOLUTION PROVIDER 2023GRC Outlook
BEST USE OF TECHNOLOGY IN ID VERIFICATIONGlobal brands magazine
FASTEST GROWING KYC SOLUTIONS PROVIDERGlobal brands magazine
TOP PERFORMER IDENTITY VERIFICATION SOFTWARE SUMMER 2023Featured Customers
EXCELLENCE IN IDENTITY VERIFICATION SOLUTIONSGlobal brands magazine
BEST CLIENT ONBOARDING SOLUTION - MEAUltimate Fintech
BEST REGTECH REPORTING SOLUTION - MEAUltimate Fintech
BEST CLIENT ONBOARDING SOLUTION UFAWARDS 2023
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Frequently Asked Questions
What fraud signals are scored in real time?
Biometric spoof, deepfake, document tamper, device fingerprint, behavioural biometric, cross-session ring, and replay or injection signals. All scored at capture time and aggregated into a unified risk score.
How is deepfake fraud detected?
Multi-stream RGB and frequency-domain (DCT) analysis identifies AI-generated faces and manipulated media. Behavioral signatures cross-check synthetic media that passes static texture tests. Detection holds up after compression, screenshots, and re-uploads.
What does device fingerprinting actually capture?
Browser, OS, screen resolution, plugins, GPU, CPU, battery profile, IP, geolocation, and time zone. Inconsistent IP-to-device patterns and emulator, proxy, and VPN masking are flagged in real time.
How are coordinated fraud rings detected?
AI-driven clustering across sessions identifies shared device fingerprints, recycled biometric templates, and serial document reuse. Coordinated activity is surfaced as linked-account rings within seconds rather than isolated alerts.
Are risk thresholds configurable per journey?
Yes. Risk thresholds are configurable per onboarding journey and per market from the back office. Changes apply without an SDK update or a code release.
How does the model adapt to new attack patterns?
False negatives feed a retrain cycle. The deepfake and synthetic-identity models improve within weeks of a new attack vector reaching scale. Release notes accompany every update.
Can past sessions be re-examined when a new threat is identified?
Yes. A forensic audit engine running inside the customer's own cloud account re-examines past liveness sessions and document submissions for spoof, replay, and injection patterns.
Stop Fraud Hidden in Single Signals
Detect coordinated attacks with real-time multi-signal intelligence across biometric, device, document, and behavioural layers.