RA Document verification

Resistant AI

Document forensics that detects manipulated and AI-generated fakes as an overlay on your Zenoo verification flows.

At a glance

Overview

Resistant AI overview

Resistant AI provides document forensics focused on detecting manipulated documents and AI-generated fakes. It functions as an overlay that adds to existing verification infrastructure rather than replacing it, which suits financial institutions and fintechs onboarding higher-risk customers where document manipulation is a concern.

Company
Resistant AI
Category
Document verification
Strongest in
Document forensics and fraud detection
Best fit
High-risk onboarding needing forgery detection

Where it is strongest

Key strengths

What Resistant AI does well.

01

Document fraud detection

It is designed to detect AI-generated fakes and sophisticated document forgery through anomaly detection.

02

Overlay model

It layers on top of existing KYC infrastructure, so it adds forensics without a full platform replacement.

03

High-risk onboarding focus

It targets financial onboarding scenarios where document manipulation detection matters most.

Who it suits

Best for

Where Resistant AI fits, and what to plan for.

Honest notes on the trade-offs, each with a way to cover the gap inside a Zenoo flow.

Best for
  • Institutions with existing verification that need an added document forensics layer
  • Teams specifically focused on detecting AI-generated document fraud
Considerations
  • Needs an underlying verification flow. As an overlay, Resistant AI expects an existing verification step to work alongside. In Zenoo you pair it with a document capture and identity provider so the forensics layer has a flow to sit on top of.
  • Public detail is limited. Independent public information on pricing and performance is limited. Activating through Zenoo lets you trial it within a wider flow and route around it with fallback providers if needed.
You

Open the customer's case

What your team sees

The Resistant AI result, beside everything else.

The result sits with screening and review on one case, so nobody checks a second tool to see the whole customer.

LA
Lorraine AshcombeSample case · Personal
In review
Resistant AIVerified
Name and date of birthAgrees
PEP screeningSuggested
Name matches a list entry, but the date of birth differs. Suggest you clear as a false positive.Zenoo suggests, your team decides
You

Tomorrow, your case

Bring us a case that went wrong.

We will run it through Zenoo while you watch: the evidence, the decision, and the record your MLRO would want to defend.

30 minutes. Your data. No slides.