Marketplace

AI fraud detection for marketplaces and on-demand platforms.

Your users submit thousands of images a day. Some of them are fake. We analyze every image at the point of upload, flag them, and send the results in seconds. Your fraud team gets a confidence score and a heatmap before any decision is made.

Data Security

Enterprise-grade. Out of the box.

Built for environments where security is non-negotiable — from air-gapped infrastructure to international data regulations.

SOC 2 Type II

Independently audited security controls covering availability, confidentiality, and data integrity.

In-progress

GDPR

Fully compliant with EU data protection regulations. No personal data processed without lawful basis.

Compliant

HIPAA

Supports healthcare and public health agency deployments with full HIPAA-aligned data handling.

Compliant

ISO 27001

Internationally recognised standard for information security management systems.

In-progress

Air-gapped deployment

Fully containerized on-premises install. No external connections. No data leaves your environment ever.

Available

Deploy in 24 hours

Guided installation wizard gets you from contract to live detection in under a day — not months.

On-prem & cloud

Zero retention mode

Submitted media is permanently deleted after detection completes — no retention, no re-analysis. Meets the strictest data sovereignty requirements.

Available

API-first architecture

Single REST API covering all modalities. Integrates with existing SIEM, SOAR, and identity platforms.

Production-ready

MARKETPLACE ATTACK VECTORS

Six AI fraud vectors entering your platform through every submission point.

From refund abuse to fake onboarding documents, each vector enters through a workflow your fraud team already owns. Resemble AI detects all six at submission, in seconds.

View incident database Contact us

ATTACK TYPE

METHOD

MODALITY

VICTIM

Consumer refund fraud

Customer submits AI-generated or AI-manipulated photo as evidence of food quality issue, damaged goods, or non-delivery to claim a refund.



Trust and safety teams

Fake proof of delivery

Gig worker uploads an AI-generated image as proof of delivery or pickup without completing the order, affecting customers and penalizing merchants.



Fraud teams and merchant ops

Fake product reviews and UGC

AI-generated or manipulated product images submitted alongside fake reviews to inflate or suppress seller ratings.



Fraud ops teams

Merchant document fraud

Seller submits AI-generated identity documents or business photos during marketplace onboarding to bypass verification checks.



Customer success teams

Insurance and claims image fraud

AI-manipulated photos submitted as evidence for vehicle damage, accident claims, or delivery disputes to extract insurance or compensation payouts.



Insurance teams

Synthetic listing fraud

Seller creates product listings using AI-generated product images that misrepresent the actual item, leading to disputes and chargebacks.



Customer success teams

Modalites: Audio =  Video =  Image = 

GENERATIVE AI PROTECTION IN ACTION

How detection fits into your existing fraud workflow

Real-time detection — audio, video, and image submissions

Confidence score, fraud classification, and heatmap
returned in seconds

Results route into your existing fraud workflow via
webhook or API

Batch processing for high-volume pipelines and
historical dataset analysis

160 generative AI models covered



Refund and dispute ops



Consumer refund claims, food quality disputes, non-delivery



Detection at image submission before refund decision



Confidence score and heatmap route into existing fraud workflow



Delivery confirmation



Proof-of-delivery photo submissions



Detection integrated into delivery confirmation flow



Flagged submissions routed to fraud team in real time



Seller onboarding



Identity documents and business photos at intake



Covers fully synthetic and partially edited documents



Onboarding held before account is approved



UGC and listing integrity



Product images submitted alongside reviews



Detection runs before listing or review is published



Trust and safety team receives explainability report



Claims investigation



Vehicle damage, accident claims, delivery disputes



Manipulation type and model attribution returned per file



Audit-ready report suitable for legal proceedings



Forensic authentication



Media submitted by platform legal or trust teams



Confidence score, heatmap, and model attribution returned



Report admissible in dispute resolution and legal proceedings

We are seeing a lot of photos which are fake or AI generated — people upload them to tell us they've delivered the food, but it's actually not true. That ends up affecting the health of the marketplace.

PM, Leading On-Demand Delivery Platform

10,000+

Images processed per second
with Resemble AI

RESPONSIBLE AI DEVELOPMENT

The only generative AI company whose protection tools came first.

As pioneers of synthetic media, we built the detection tools required to secure it. Our technical depth makes us a trusted policy advisor globally — from testifying before the U.S. Senate to signing Canada's Voluntary Code of Conduct on Responsible AI.

Every product starts from the same question: what happens when this gets misused?

RESEMBLE AI ETHICS COMMITMENT

Zohaib Ahmed, CEO — U.S. Senate testimony on deepfakes & election integrity

INTEGRATIONS

Works with your existing stack

All integrations

Frequently asked questions

How do marketplaces prevent AI-generated fraud at scale?

Detection runs at image submission via API, returning a confidence score and fraud classification in seconds. Results route directly into your existing fraud workflow via webhook. The model covers 160+ generative models and regulary updates when new AI models enter the market.

How is Resemble AI available for government procurement?

Resemble Detect analyzes images at the pixel level for generative AI artifacts, without relying on metadata or watermarks. It covers fully synthetic images, inpainting, and replay attacks where a synthetic image has been re-photographed on a second device. Each detection returns a confidence score, heatmap, and natural language explanation.

How do gig platforms detect fake proof of delivery photos?

Detection integrates into the delivery confirmation flow via API. When a user uploads a proof-of-delivery photo, the image is analyzed in real time and a score returned before the delivery is marked complete. For platforms building a domain-specific dataset, blind dataset evaluation is available before full integration.

What regulations apply to AI fraud on marketplace platforms?

The Digital Services Act requires EU marketplaces to implement content moderation processes and, for very large platforms, systemic risk assessments for AI-generated content. The EU AI Act introduces additional transparency and accountability obligations for platforms deploying AI in high-risk contexts. Resemble AI provides audit-ready forensic reports and on-premise deployment to support compliance workflows.