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#1 for true-positive rate, NIST Child Online Safety, ages 13-16See the evidence

#1 NIST true-positive rate, ages 13-16

Bring identity verification, document checks and AI workflow automation to customer onboarding and service operations.

Where this stands: Identity verification and document checks are available to operators today.

Sample SIM-swap requestMobile line, online request

Identity verificationReplaces security questionsWith ZOREAL
  • Document checks passed
  • Face matches the document

The network is how fraud reaches people.

Operators verify identities when a SIM is registered, a contract is signed or a device is financed. Weak checks lead to SIM-swap fraud, fraudulent porting and contracts taken out in someone else's name.

The same network carries the scam texts and voice-cloned calls aimed at an operator's own customers. A few seconds of audio is now enough to clone a voice, so a call that sounds right is no longer proof of who is speaking.

What operators answer to

  • SIM registration rules

    Many countries require operators to verify a subscriber's identity before activating a SIM.

  • Account takeover

    SIM swaps and number ports are used to intercept one-time codes and take over bank and email accounts.

  • Scam traffic

    Operators are under growing pressure to detect and stop scam messages before they reach customers.

Where AI does the work

  1. Uses available products

    Identity checks at registration and SIM swap

    Document and biometric identity checks confirm the subscriber before a SIM is activated or moved to a new card.

  2. Uses available products

    Device-financing documents

    Payslips and bank statements supplied for a financed handset are examined for tampering.

  3. Application direction

    Scam message detection

    Detector24's fraud text models classify messages for scam and phishing content, as part of a wider filtering policy.

  4. Application direction

    Voice clone detection

    Voice deepfake detection examines audio for signs of synthesis, and ZOREAL Meet anchors identity on face liveness rather than voice.

A SIM-swap request

How available capabilities could protect one of the riskiest requests an operator handles.

  1. A customer asks for their number to be moved to a new SIM, in store or online.

  2. Their identity document is checked and matched to a live capture, instead of answers to security questions.

  3. The request proceeds, is held for a cooling-off period, or goes to the fraud team, according to policy.

  4. The verification result is kept with the request for any later dispute.

Sample SIM-swap requestMobile line, online requestVerify

In

  • Driving licence
  • Live capture
ZOREALIdentity verificationReplaces security questions

Out

  • Document checks passed
  • Face matches the document

Questions from operators

Can identity be checked before a SIM swap?

Yes. Document and biometric identity checks confirm the subscriber before a SIM is activated or moved to a new card.

Can scam messages be detected on our network?

Detector24's fraud text models classify messages for scam and phishing content as part of a wider filtering policy. Network-scale detection is an application direction for these models, not a described deployment.

Why not verify customers by voice?

Cloned voices make voice a weak factor. Voice deepfake detection examines audio for signs of synthesis, and ZOREAL Meet anchors identity on face liveness rather than voice.

Talk to Bynn about onboarding and fraud on your network.

Bring the request your fraud team worries about most. We will show you how it can be verified.