Financial Services

Add a verification layer to high-risk digital onboarding.

When an image in onboarding or a fraud case raises a question, check it for face swaps and manipulation, and for synthetic generation where no face is found, before anyone relies on it.

Still-image reviewIllustrative walkthrough
Check
Submit a still image that raises a question.
Review
See a named manipulation finding or an inconclusive result.
Keep
Inspect the evidence and export a hash-verifiable record.

Illustration only. No real customer data or recorded demo is shown.

Financial Services

Where it fits.

  • Onboarding image review

    An image supplied during onboarding looks face-swapped or manipulated. Check it and route the result into your existing review.

  • A record linked to the case

    Retain a tamper-evident record with the fraud or onboarding case. The check supports your controls; it is not a KYC or identity decision.

How it works

How Blackwater Verify works

  1. 01

    Submit

    Upload an image in the Console or send it through the API.

  2. 02

    Analyse

    Forensic models examine supported visual characteristics and manipulation indicators.

  3. 03

    Decide

    A named finding is returned only when the calibrated threshold is met.

  4. 04

    Record

    The result is sealed into a tamper-evident decision record.

Every verification leaves a verifiable record.

  • Tamper-evident
  • Traceable
  • Exportable

Make digital trust verifiable.

See how Blackwater Verify can add calibrated image verification and traceable decision records to your workflow.