Fraud Analysts

Stay one step ahead of every fraud attack

Shufti gives fraud teams the detection tools, behavioural signals, and real-time intelligence to stop deepfakes, synthetic identities, and account takeovers, before they get through.

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Shufti fraud detection and identity verification dashboard

FOR HIGH-PERFORMANCE FRAUD TEAMS

Everything you need to detect

240+Regions Actively Processed
99.9%Platform Uptime
24/7Real-Time Monitoring

Trusted by Leading Digital Enterprises Worldwide

THE PRODUCT GAP TODAY

The fraud challenges Shufti solves

Fraud has outpaced your detection tools

Deepfakes, synthetic identities, and injection attacks bypass the tools most fraud teams still rely on. They were not built for what fraud looks like today. Shufti intelligently layers liveness detection, device fingerprinting, and behavioural biometrics into a single detection stack that helps fraud risk analysts and fraud specialists catch what point solutions miss.

By the time fraud is confirmed, the damage is done

Most detection is reactive. The alert fires after the transaction clears or the account is drained. Fraud teams are always one step behind. Shufti scores risk continuously across the full user lifecycle, helping fraud investigators identify suspicious behaviour before losses escalate.

Your fraud and compliance teams work in separate silos

Different tools, different data, different alert queues. Fraudsters exploit exactly that gap. The same customer appears in two systems with no connection between them. Shufti connects identity verification, fraud detection, and AML screening in one consolidated case queue with a shared evidence trail, giving fraud examiners a more complete view of risk.

FRAUD DETECTION ACROSS THE LIFECYCLE

Shufti detects fraud at every step

Registration

Getting real users in. Keeping fraudsters out from day one.

Most fraud enters at registration. Shufti checks document authenticity, detects deepfakes, and confirms liveness before a fraudster ever gets an account.

Login & Authentication

Stopping account takeovers without blocking legitimate users.

Account takeovers happen when authentication is weak. Shufti combines face matching, behavioural signals, and device data to verify returning users and flag suspicious login attempts in real time.

User Verification

Catching synthetic identities and document fraud before they pass.

Synthetic identities and forged documents fool static checks. Shufti cross-references biometric data, document signals, and AML databases simultaneously to catch fraud that single-layer checks miss.

Transaction & Ongoing

Monitoring behaviour after onboarding to catch fraud. Some fraud only becomes visible after onboarding. Shufti monitors transaction patterns, rescreens customers against global watchlists and adverse media sources, and surfaces cases for investigation before losses occur.

Document Verification NFC Verification OCR Data Extraction Age Verification Secure Capture

Biometric Face Authentication Behavioural Biometrics Device Fingerprinting Multi-Factor Authentication (MFA)

AML Screening VideoIdent Business Verification (KYB) Investor Verification

Transaction Monitoring Fraud Analytics Case Management Ongoing Monitoring

EXPLORE THE PLATFORM

Every tool your fraud team needs in one place

Age Assurance

Prevent and catch age fraud at sign-up

Identity Verification

Biometric, document checks with deepfake detection built in

KYC

Flag suspicious applicants before they become active customers

KYB

Verify businesses and beneficial owners, including shell company detection

KYI

Verify investors and source of funds before capital is committed

Workforce IAM

Stop insider fraud before it starts with employee identity checks

Candidate Verification

Screen candidates for identity fraud before they are hired

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BUILT FOR FRAUD TEAMS

Three things Fraud Analyst teams get with Shufti

Know exactly what is getting through your stack

Most fraud teams only find detection gaps after a loss event. Shufti's Fraud Blind Spot Audit maps your current verification and monitoring stack against the fraud types active in your markets, and identifies exactly what your tools are not catching before fraudsters find it first.

See the Full Coverage Map

Detection that covers every market you operate in

Fraud patterns differ by region. A document fraud technique common in West Africa looks different from one used in Southeast Asia. Shufti's detection models are trained on local fraud signals across 240+ markets, not just global averages that miss regional attack patterns.

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See how your current detection compares

Shufti's Vendor Comparison Tool lets you benchmark your current fraud detection stack against Shufti using your own data. Compare false positive rates, detection accuracy, and investigation time side by side, before making any decision to switch.

Run the Comparison

COMPLIANCE ACROSS INDUSTRIES

Built for industries where fraud behaves differently

Stop high-value fraud before it clears

Detect account takeovers, synthetic identities, and mule accounts before funds move. Shufti flags high-risk behaviour across onboarding and transactions with real-time risk scoring.

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FREQUENTLY ASKED QUESTIONS

What fraud teams ask us most

What types of fraud does Shufti detect?

Shufti detects deepfake attacks, synthetic identity fraud, document forgery, injection attacks, account takeovers, multi-accounting, and bot-driven onboarding. Detection runs at registration, authentication, verification, and throughout the ongoing customer lifecycle, not just at sign-up.

How does Shufti detect deepfakes and injection attacks?

Shufti combines passive liveness detection, active challenge-response checks, and frame-level analysis to identify synthetic media. Injection attacks, where fraudsters bypass the camera entirely by feeding pre-recorded video into the stream, are caught by device signal analysis and secure capture technology that verifies the input source before processing begins.

How does Shufti reduce false positives without missing real fraud?

Shufti uses AI to score risk across multiple signals simultaneously: document authenticity, biometric match, device fingerprint, behavioural patterns, and AML screening. This layered approach reduces noise without lowering the sensitivity on genuine fraud indicators.

Does Shufti connect fraud detection with AML compliance?

Yes. Fraud signals and AML flags land in the same case queue with a shared evidence trail. Fraud analysts and compliance teams work from the same data, with no separate systems and no gaps between them that fraudsters can exploit.

How does ongoing monitoring work after onboarding?

Shufti monitors every enrolled customer continuously, screening against live AML databases, flagging unusual behavioural patterns, and triggering re-verification when a customer's risk profile changes. Alerts fire before damage is done, not after a transaction clears.

How quickly can our fraud team get up and running?

Most clients are live within 48 hours. Shufti provides a dedicated implementation engineer for enterprise onboarding and sandbox access on the day of signup. The fraud analytics dashboard and case management queue are available from day one with no additional setup required.

Ready To Close The Gaps In Your Fraud Detection?

Shufti will map your current detection stack against the fraud types active in your markets and show exactly what is getting through, before it becomes a loss.

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