Sold by: Resistant AI
Deployed on AWS
Free Trial
AWS Free Tier
Catch KYC document fraud the human eye cannot in bank statements, utility bills, ID cards, and more
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Overview
Resistant AI's document fraud detection software can check all document types (from any country) for fraud and authenticity in just a few seconds. Give your risk, fraud, and compliance teams bionic eyes, spotting nearly-invisible fraud in bank statements, invoices, pay stubs, utility bills, and all other documents.
- Find document forgery in digital PDFs and images right out of the box.
- Catch serial fraud attempts coming from template farms and document reuse.
- Classify documents to make sure they match your intake policy.
- Quality-check documents for low resolution, blurs, camera flashes, and more.
- Automate approvals and declines with 99.92% accuracy
- Get up to 30x ROI from savings on manual fraud checks.
- Double the speed of in-depth investigations and ensure compliance with clear, auditable verdicts.
- Deployable with just 14 lines of code thanks to our simple to use REST API.
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Please get in touch with us directly via email for custom pricing via a private offer!Highlights
- Automate approvals and declines with 99.92% accuracy.
- Catch serial fraud attempts coming from Generative AI tools, template farms and document reuse.
- Get up to 30x ROI from savings on manual fraud checks.
Details
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Delivery method
Deployed on AWS
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Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Document Forgery Analysis | Returns fraud analysis result for document submissions | $10,000.00 |
Customized Forgery Analysis | Returns customized fraud analysis result for document submissions | $10,000.00 |
Document quality analysis | Returns document quality analysis result for document submissions | $10,000.00 |
Document classification analysis | Returns document classification result for document submissions | $10,000.00 |
Vendor refund policy
Except as expressly authorized herein, or in an applicable Product Order Form, payment obligations are non-cancellable, Client Fees paid to Resistant are non-refundable and no Client Fees will be subject to any discount, setoff, or waived for any reason.
Custom pricing options
Request a private offer to receive a custom quote.
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Vendor terms and conditions
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Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Customer Success:
The onboarding process includes appointing a customer success manager (CSM) by Resistant AI. The CSM covers the discovery and introduction aspect for new users, supports technical setup, training, and interpretation of initial results. Regular monthly / bi-weekly check-ins are commonplace to discuss traffic, results, feedback, or any other questions, as well as to perform deep dives into various fraud techniques.
Operations:
Ongoing support includes the daily monitoring of production traffic in an effort to spot anomalies in behavior, fed back into R&D. All current models are maintained and new models are trained based on the continuous labelling of data.
Response Time:
Support will be provided based on our Premium support plan, with response times specified below. All times are in business hours or business days. 1 business day is 8 business hours.
In case of Major Issues, e.g. sustained availability problems, major detection efficacy problems or other problems that prevent the Customer from using the Software, the Service Provider will:
- Acknowledge, create a ticket and and respond within 2 hours
- Provide solution or a remediation plan within 8 hours
In case of Minor Issues, feature requests, questions, isolated efficacy problems and any other issues that do not prevent the customer from using the Software, the Service Provider will:
- Acknowledge, create a ticket and and respond within 1 day
- Provide solution or a remediation plan within 2 days
Availability:
Resistant AI will use commercially reasonable efforts to ensure the Software is available with a Monthly Uptime Percentage exceeding 99.9%.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Resistant AI
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
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Mixed reviews
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AI generated from product descriptions
Document Forgery Detection
Identifies document forgery in digital PDFs and images through analysis of nearly-invisible fraud indicators across all document types from any country.
Serial Fraud Pattern Recognition
Detects serial fraud attempts originating from template farms, document reuse, and generative AI tools through pattern matching and document reuse analysis.
Document Classification and Validation
Classifies documents to verify compliance with intake policies and quality-checks for low resolution, blurs, camera flashes, and other image quality issues.
Automated Decision Processing
Automates approval and decline decisions with 99.92% accuracy through machine learning-based fraud detection and authenticity verification.
REST API Integration
Provides REST API for integration requiring minimal implementation effort with simple deployment capabilities.
Identity-Based Fraud Detection
Identifies and stops fraudsters early in the customer journey through account takeover prevention, fake account blocking, and loyalty program safeguarding using identity-based assessments.
Real-Time Transaction Decision Engine
Provides instant approval or decline decisions at checkout with accuracy to reduce chargebacks and false declines of legitimate transactions.
Payment Authorization Optimization
Increases authorization rates with issuing banks and card networks, optimizes 3DS usage, and ensures compliance with PSD2 requirements.
Automated Chargeback Representment
Streamlines dispute resolution through automated representment processes to improve win rates and reduce operational costs associated with chargebacks.
Policy Abuse Prevention
Prevents revenue loss from policy abuses including coupon misuse, fraudulent returns, and reseller activities while maintaining seamless customer experience.
Device Fingerprinting and Global ID
Patented next-generation device identification creating unique fingerprints based on hardware and software parameters, tracking devices across sessions, and sharing fraud intelligence across clients globally
Behavioral Analytics
AI-powered user behavior analysis covering typing dynamics, touchscreen interactions, device motion, app usage patterns, and geoprofiling to detect anomalies in real time
Fraud Matrix Framework
Proprietary cyber-fraud kill chain mapping fraudster tools, tactics, and procedures across nine stages: Reconnaissance, Resource Development, Abuse of Trust, Faux Communications, Credential Compromise, Account Access, Defense Evasion, Fraud Event, and Monetization
Customizable Rule Engine
No-code rule builder enabling fraud teams to create, test, and deploy custom detection rules aligned with risk appetite and regulatory requirements
Explainable AI
Transparent risk scoring with clear explanations of contributing factors enabling auditability and trust in fraud detection decisions
Standard contract
No
No
Customer reviews
reviewer2857182
Advanced document forensics has strengthened fraud detection and has improved compliance reporting
Reviewed on Jun 16, 2026
Review from a verified AWS customer
What is our primary use case?
Many online document submissions occur, and due to the prevalence of financial mules, financial institutions are very particular about the types of documents being submitted. Given the volume and quick turnaround needed, it is insufficient for them to rely solely on an army of document checkers. Resistant AI Document Forensics technology handles this job for them.
They check government IDs to verify the authenticity of individuals. For B2B transactions, they require financial statements, audited financial statements, papers from the SEC, from the Internal Revenue Service, and any other documents that attest to the existence of the particular organization.
What is most valuable?
Being long in the industry, they have accumulated many use cases on document fraud. From what they told me, there are more than 40 document frauds that they have identified and trained the AI on.
In the Philippines, which is probably not updated when it comes to document fraud, knowing that there are so many gives them a sense of assurance. The banks I speak with do not have data scientists. Having all this AI trained on such a number of document frauds already puts them ahead of the fraudsters.
Most of the banks here are currently exploring either developing from the ground up or acquiring a package. Resistant AI Document, given its track record with major financial institutions here and the number of document fraud cases it has, provided them with much more compliance with the anti-money laundering requirements they are pursuing. They have strengthened fraud detection and eliminated financial mules in their database.
I believe they have improved in terms of strengthening fraud detection because of the patterns they see. There are still a lot of false positives, but it gives them much more accuracy in terms of detecting fraud. The Anti-Money Laundering Council in the Philippines requires reports on a more periodic basis, and in terms of compliance, they are now able to provide such reports on a quicker turnaround time.
What needs improvement?
There is a bit of localization that could be considered, but I could not explain it well enough because it was developed in Prague, the Czech Republic. The people at the bank were asking questions about it. From a support perspective, the different time zones require perhaps a longer response time. This is not really a system issue itself, but a unique situation that exists because we are in Asia and they are in Europe.
The Philippines is mostly English in terms of business transactions, so there is already a lot of alignment when it comes to that matter.
For how long have I used the solution?
I have been with Resistant AI representing them for two years now.
What do I think about the stability of the solution?
When we conducted testing on a proof of concept, the output was excellent. The result compared side-by-side with the controlled environment was actually 100% in terms of accuracy.
What do I think about the scalability of the solution?
The pricing was relatively expensive for the Philippine market, but given that the bank is among the top three in the Philippines, it was acceptable to them. Whether it will expand to the other banks that are smaller, I do not believe it may be that competitive.
How are customer service and support?
Customer service is good. Even with the time differences, they have been responding well.
Which solution did I use previously and why did I switch?
There was no other solution for them.
We looked at Asia Verify and I believe Persona, but we stuck with Resistant AI Document.
What's my experience with pricing, setup cost, and licensing?
The pricing was relatively expensive for the Philippine market, but given that the bank is among the top three in the Philippines, it was acceptable to them. Whether it will expand to the other banks that are smaller, I do not believe it may be that competitive.
Which other solutions did I evaluate?
We looked at Asia Verify and I believe Persona, but we stuck with Resistant AI Document.
What other advice do I have?
Many online document submissions occur, and due to the prevalence of financial mules, financial institutions are very particular about the types of documents being submitted. Given the volume and quick turnaround needed, it is insufficient for them to rely solely on an army of document checkers. Resistant AI Document Forensics technology handles this job for them.
They check government IDs to verify the authenticity of individuals. For B2B transactions, they require financial statements, audited financial statements, papers from the SEC, from the Internal Revenue Service, and any other documents that attest to the existence of the particular organization.
In comparison with many others, Resistant AI Document appears to be the most well-researched with the most case studies, and there seems to be applicability when it comes to the use cases that this particular bank has. I would rate this review an 8 overall.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)