Fraud Detection

Stop Fraud Before It Starts — At Every Step of the User Journey

Our AI-powered Fraud & Risk Detection platform protects your business across the entire user lifecycle — in real time.

01
Coverage
02
Full-lifecycle protection
Coverage

Fraud Types We Prevent — At a Glance

Comprehensive fraud protection across the entire customer lifecycle.

Identity Fraud
Imposter fraud, synthetic identity, identity theft
Document Fraud
Tampered documents, photocopy fraud, template fraud, image injection
Biometric Fraud
Deepfakes, face swaps, liveness bypass, image injection attacks
Account Fraud
Account takeover, multi-account fraud, credential stuffing
Financial Crime
AML violations, sanctions evasion, PEP risk, layering schemes
Cyber Threats
Cyberattacks, session hijacking, bot-driven login attacks
Full-lifecycle protection

Fraud Across the User Flow

Every stage of your user journey is an attack surface. Here's exactly where we protect you.

Phase 1 — Onboarding
1

Document Verification

Verifying the authenticity of submitted identity documents

Checks performed
  • Tamper detection
  • Blur detection
  • Photocopy detection
  • Image injection detection
Fraud types prevented
Fake Documents — Forged passports, national IDs, or driver's licenses
Tampered Documents — Genuine documents with altered fields (name, DOB, photo)
Photocopy Fraud — Flat printed copies of real documents submitted to bypass basic checks
Image Injection — Pre-captured document images fed into the camera stream via virtual camera tools
2

Face Verification

Verifying who the user really is

Checks performed
  • Liveness & face match
  • Address verification
  • Age verification
  • Video verification
  • Location verification
Fraud types prevented
Imposter Fraud — Someone uses another person's real identity to pass verification
Synthetic Identity Fraud — A fabricated identity combining real and fake data — no real person exists behind it
Deepfake / Liveness Bypass — AI-generated faces or pre-recorded videos used to fool liveness checks
3

Underwriting

AI-based cross-checks after basic verification passes

Checks performed
  • Face authentication
  • AI-based forgery checks
  • Face deduplication
  • Central database checks
Fraud types prevented
Multi-Account Fraud — Same individual registers multiple accounts to exploit promotions or bypass limits
Identity Theft — A fraudster uses a real victim's stolen identity to register
AI-Based Forgery — Machine-generated fake documents or biometric data that fool basic detectors
4

AML Screening

Financial crime risk screening before onboarding is complete

Checks performed
  • PEP (Politically Exposed Persons) screening
  • Adverse media monitoring
  • Global sanctions list checks
  • Internal blacklist / greylist database
Fraud types prevented
Sanctions Evasion — Sanctioned individuals attempt to bypass controls using name variations across local and global watchlists
PEP Risk — High-risk political figures or associates opening accounts to obscure illicit funds
Adverse Media Involvement — Users linked to corruption, fraud, or financial crime in news sources
Phase 2 — Account Activity
1

Login

Securing every return session

Checks performed
  • Face authentication
  • Liveness check
Fraud types prevented
Account Takeover (ATO) — Fraudster gains access to a legitimate user's account via stolen credentials or SIM swap
Cyberattacks — Bot-driven credential stuffing or brute-force attacks targeting login endpoints
Get in touch

Ready to Close the Gaps Fraudsters Exploit?

See how our platform maps to your user flow and blocks fraud at every stage — before it costs you.

Contact us Explore the platform