Overview

Product video
Shufti Document Deepfake Detection helps institutions detect AI generated and fabricated ID documents that passed existing KYC controls. The AMI runs in the institutions AWS environment and treats each ID as a forensic object, not just a source of OCR text.
The model inspects fonts, layout, logos, backgrounds, and visual security features to identify documents created by generative models, as well as fabricated templates that mimic genuine IDs. It also validates machine readable zones and codes against expected structures and cross checks them against printed fields. This approach reveals AI generated documents that appear structurally correct to legacy systems but fail authenticity tests.
Historic document images from onboarding and account opening are processed in batches, with clear genuine or deepfake outcomes and rationales. The pricing is flexible and follows existing AWS protocols, giving compliance and fraud stakeholders a practical way to measure synthetic document exposure, refine document acceptance policies, and support regulatory discussions without touching production flows.
Highlights
- Detect AI generated documents. Identify IDs constructed with generative models and fabricated templates that imitate real documents.
- Forensic document analysis. Analyse fonts, layout, holograms, backgrounds and security marks instead of relying only on OCR output.
- Batch analysis of historic IDs. Re assess large volumes of onboarding documents to quantify synthetic ID exposure.
Details
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Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/month |
|---|---|---|
Verification | Number of Units/Requests | $0.08 |
Vendor refund policy
Usage based charges are generally non refundable. If you believe you were charged due to a service defect (e.g., container unavailability), open a ticket within 7 days with timestamps and logs. Verified incidents may be credited or refunded at our discretion. Refunds are processed through AWS Marketplace per AWS refund procedures.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Shufti Document Deepfake Audit
Additional details
Usage instructions
Before deploying the Shufti Document Deepfake Audit AMI, ensure you have an AWS account with permissions to launch EC2 instances and create IAM roles and instance profiles, an active subscription to the product in AWS Marketplace, and a network setup including a VPC, Subnet, and Security Group with HTTP (port 80) open. The recommended instance type is r7i.4xlarge or larger (Nitro Enclave support required).
To deploy, launch a new EC2 instance using the AMI and paste the provided Shufti initialization script in Advanced Details User Data. Provisioning typically takes about 25 minutes. After provisioning completes, open the EC2 Console, copy the Public IP of the instance, and access the application at: http://<EC2_PUBLIC_IP>:80.
Ensure the Security Group allows port 80, and if provisioning exceeds 25 minutes, review EC2 system logs or console output. For detailed deployment instructions and API usage, see the full Shufti user guide: https://developers.shuftipro.com/docs/marketplaces/aws/user-guide
Support
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.