Shufti-Sphere-Website-Banner

us

216.73.216.209

Ongoing Monitoring

Verification Doesn’t End at Onboarding

Shufti continuously screens your existing customer base against sanctions, PEP lists, adverse media, and suspicious transaction patterns, so compliance gaps don’t build up between periodic reviews and regulatory obligations are met in real time.

Ongoing monitoring dashboard — continuous compliance screening showing real-time sanctions, PEP, and adverse media re-screening across the verified customer base
Trusted By 2000+ Clients Worldwide
cashew gemone HERO Gaming Bitget IronFX PENN National Rakuten Witzeal Noteris banxy
HOW SHUFTI SOLVES IT

Continuous Compliance, Not Periodic Guesswork

Continuous re-screening

Rescreening Without Blind Spots

Batch screening creates compliance gaps between scheduled checks. Shufti monitors sanctions, PEP, and adverse media changes continuously, so customer records are rechecked within minutes of a list update, not weeks later.

SAR-ready reports

Reports Built for Filing

SAR preparation slows teams down when evidence has to be collected manually. Shufti detects suspicious patterns, connects transaction trails with customer history, and generates risk-scored SAR packages analysts can review and file faster.

Risk profile changes

Risk Profiles That Stay Current

A low-risk customer can become high-risk long after onboarding. Shufti tracks profile, watchlist, media, and transaction changes over time, then explains what changed, when it changed, and which obligation it affects.

EXPLORE THE STACK

Everything You Need to Monitor Under One Hub

Document Verification mockup Facial Biometrics mockup

Re-verify when risk profiles demand it

When ongoing monitoring flags a change — a new sanctions hit, an adverse media alert, or a suspicious transaction — you may need to re-verify the customer’s identity. These products handle periodic and event-triggered re-KYC.

  • Document Verification

    When ongoing monitoring triggers re-KYC, request updated identity documents. The same forensic engine that authenticated the original ID now checks for changes, expired documents, or new security features.

  • Facial Biometrics

    Re-verify customer identity for high-risk transactions or periodic account reviews. The same iBeta-certified liveness (98.72% accuracy) used at onboarding runs again to confirm the account holder is still the person verified.

AML Screening mockup Transaction Trust Monitoring mockup PEP & RCA mockup Sanctions mockup Watchlist mockup Adverse Media mockup Business AML Screening mockup

Screen continuously. Report automatically.

Shufti’s monitoring suite runs against your entire customer base — not just new applicants. Sanctions, PEP, adverse media, and transaction checks run as source data updates, triggering alerts and evidence packages the moment a risk profile changes.

  • AML Screening

    Shufti enables ongoing AML monitoring by continuously re-screening verified individuals, businesses, UBOs, and crypto wallets after onboarding. Profiles are monitored against 3,500+ watchlists, 2.6M PEP records, adverse media in 80+ languages, and sanctioned wallet data. Data refreshes every 15 minutes from 100,000+ in-house sources, helping teams detect new risks as they emerge.

  • Transaction Trust Monitoring

    Detect suspicious patterns across customer transaction histories using rule-based triggers and ML models. Auto-generate SAR packages with evidence chains ready for regulatory filing.

  • PEP & RCA

    Monitor PEP status changes and new RCA connections across your existing customers. When a customer’s political exposure changes, the alert includes what changed and when.

  • Sanctions

    When a list changes, every matching customer in your base is flagged with the specific list and entry that triggered the match — with 200+ sanction regimes (OFAC, HMT, EU, UN, Interpol, national FIUs). 415+ risk categories. Secondary and reciprocal sanction detection.

  • Watchlist

    Screen against custom and proprietary watchlists beyond standard regulatory lists. Maintain internal blacklists and share flagged entities across multi-tenancy environments.

  • Adverse Media

    Continuously scan global news for negative coverage about your existing customers. NLP categorises hits by risk type and filters false positives, so your team reviews genuine signals.

  • Business AML Screening

    Extend ongoing monitoring to corporate customers. Screen entity names, directors, and UBOs against sanctions and PEP lists continuously, not just at B2B onboarding.

Behavioral Biometrics mockup Device Fingerprinting mockup 1:1 Authentication mockup

Detect account takeover and session anomalies post-onboarding

Ongoing monitoring isn’t just about AML. Shufti’s authentication layer detects behavioural changes that signal account compromise, device switching, and identity fraud in existing accounts.

  • Behavioral Biometrics

    Establish a behavioural baseline during onboarding, then monitor for deviations. When a customer’s typing pattern, device handling, or interaction speed changes significantly, flag the session for review.

  • Device Fingerprinting

    Track device consistency across customer sessions. When a previously verified customer suddenly appears from a new device, different OS, or known-fraud fingerprint, trigger step-up verification.

  • 1:1 Authentication

    Periodically re-verify high-risk customers by matching a live selfie against their onboarding biometric. Trigger re-verification based on time intervals, transaction thresholds, or risk score changes.

Built for Every Role in Business Verification

Verify entities, uncover ownership structures, and screen directors in a single workflow. Built for the compliance requirements B2B onboarding, due diligence, and ongoing monitoring actually demand.

Compliance Officer

Audit-ready evidence on every verification, structured for regulatory inspection across every jurisdiction you operate in.

Interest Compliance Coverage AML Regulatory Audit

Product Manager

Configurable verification flows that balance speed against risk tolerance, without rebuilding the integration each time.

Interest Journey Builder Platform Configuration

Developer

REST API, webhooks, and sandbox access for KYB events. Wire alerts into your case-management stack within hours of integration.

Interest Webhook Events REST API Mobile SDKs

Fraud Analyst

Pre-scored evidence and fraud signals on every flagged case, so your team reviews decisions, not raw submissions.

Interest Fraud Scoring Liveness Detection
FRAUD COVERAGE

Detect Every Fraud Type Targeting Your Platform

Deepfake

Deepfake

AI-generated faces and synthetically forged documents bypass legacy liveness checks at scale. Shufti's passive liveness & document forensics detects synthetic media before it reaches your onboarding flow.

Identity Fraud

Identity Fraud

Credential theft, blended synthetic identities, and manipulated documents exploit gaps in manual review. Shufti's layered verification surfaces fraud signals before accounts are created.

Account & Platform Abuse

Account & Platform Abuse

Duplicate registrations, bot-driven sign-ups, and referral exploits erode platform economics. Shufti links device, identity, and behavioural signals to flag abuse rings at scale.

Transaction & Payment Fraud

Transaction & Payment Fraud

False chargeback claims, money mule networks, and sanctions evasion expose your business to financial and regulatory risk. Shufti ties identity verification directly to transaction context.

INDEPENDENTLY EVALUATED

Validated by Leading Analysts and Certification Bodies

01

STEP 01

Your Profile Is Set at Onboarding

Every verified user starts with a risk baseline, built from their identity, documents, and screening results.

02

STEP 02

Your Monitoring Runs Automatically

Sanctions, PEP, adverse media, and transaction signals are correlated against every customer record continuously. List updates propagate within 15 minutes, so risk changes are detected the moment source data shifts, not at the next scheduled review.

03

STEP 03

You’re Alerted When Risk Changes

When a watchlist match, adverse media hit, or behavioural anomaly is detected, Shufti delivers a risk-scored alert with the supporting evidence already attached. Analysts review pre-packaged decisions instead of assembling them from raw data.

04

STEP 04

Re-KYC Kicks In

When risk thresholds are crossed, Shufti triggers automated re-KYC, escalates the case to enhanced due diligence, or prepares a SAR-ready evidence package, depending on the configured policy for that customer tier and jurisdiction.

INTEGRATIONS

Live in Production Within Days, Not Months

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.
Explore API Documentation
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.
Explore SDK Documentation
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.
Explore More
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.
Contact Sales
On-Premise Deployment mock — server architecture diagram showing self-hosted Shufti deployment
FRAUD COVERAGE

Detect Every Fraud Type Targeting Your Platform

23 Frame-2085667798 Frame-2085667798 9-7 19

INDUSTRIES

Live Registry KYB Built for Every Regulated Industry

Trusted Sellers, Repeat Fraud Blocked

Verify the seller is real at onboarding, then prevent re-joins with duplicate detection and optional 1:N matching across the marketplace.

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
Everything you need to know in one place

Frequently Asked Questions

What checks are included in the KYB flow?

A standard KYB flow includes live registry verification, UBO extraction to the FATF 25% threshold, corporate document authentication, and AML screening per entity AND each director against sanctions, PEP, and adverse-media lists. Each check is configurable to your risk appetite.

What happens when the registry returns ‘no company found’?

AI Insights Report runs a deep open-web search alongside every registry query. When LATAM, MENA, APAC, or new entities return blank, AI Insights returns flagged intelligence, marked LLM-sourced for provenance routing. Blank-result rate drops from ~12% to under 1%.

Which regulations does the KYB stack help satisfy?

AMLR (July 2027), 6AMLD, FATF Recommendation 24, FCA Consumer Duty, UK ECTA (Nov 2025), MiCA (EU), VARA (UAE), MAS PSA (Singapore), and FinCEN BSA (US). Verification depth and document retrieval are configurable per jurisdiction.

How does Shufti detect sophisticated entities and fake corporate documents?

AI-OCR with 0% extraction failure flags GAN-generated artefacts in incorporation letters and shareholder registers, and cross-references shell-company signals against ownership patterns. Behavioural and device signals catch bot-driven entity registration.

Does the KYB KYI Suite produce a single audit trail or three?

One. The KYB KYI Suite consolidates entity verification, UBO due diligence, and AML per entity AND per extracted individual into a single timestamped audit trail. Replaces three-vendor stacks penalised in the Monzo (£21.09m) and Starling (£28.96m) FCA fines.

Does Quick KYB charge for rejected verifications?

No. Modular pricing: Quick KYB for standard entities, KYB KYI Suite for full EDD, Document Retrieve & Pay per document. Shufti does not penalise high-reject-rate flows.

How long does KYB integration take?

2–3 days average via REST API, mobile SDKs (iOS, Android, React Native, Flutter), or no-code Journey Builder. Sandbox on signup with sub-4-hour time-to-first-verification.

How does deepfake detection handle GenAI-generated faces specifically?

Generative adversarial networks and diffusion models leave frequency-domain artefacts that differ from genuine photographs. DCT decomposition isolates these artefacts in the frequency spectrum where GAN-generated and diffusion-generated images produce predictable patterns. The detection layer is updated as new generative architectures emerge, it is not trained on a fixed set of known generators.

What happens when a user wears glasses, a headscarf, or has a facial difference?

The 68-landmark facial mapping and 3D depth reconstruction are designed to work across a range of facial presentations. iBeta Level 2 testing includes demographic diversity requirements. DHS RIVR testing used 1,632 volunteers across multiple demographic groups and the system maintained consistent false non-match rates across all subgroups. Accessories and coverings that do not obstruct the core facial landmarks are handled.

How do you handle demographic bias in face matching?

DHS RIVR 2025 measured false match and false non-match rates across demographic groups as a core benchmark requirement. Shufti met the demographic consistency thresholds across all tested subgroups. The FNMR variance across demographics remained within the Goal-level ceiling. Published results are available at mdtf.org/rivr/Results.

See Live Registry KYB in Action

30 minutes with a KYB specialist. We’ll run a live registry call on a real entity in your jurisdiction, extract the UBO tree, and walk through AML on every director — on your screen, not in slides.