Sold by: Shufti
Deployed on AWS
Batch audit of historic KYC selfies to uncover AI-generated faces and face swaps that passed earlier checks, deployed fully inside the companys own AWS environment.
Overview
Deepfake techniques evolve faster than most facial verification controls. As a result, there are approved customer accounts created with AI-generated or manipulated faces that were never flagged at the time of onboarding.
Shufti Face Deepfake Detection enables compliance, tech teams, and regulated digital services to scan historic selfie images and quantify how many approved customers would fail todays deepfake standards. The AMI is deployed directly inside the companys own AWS account, so biometric data remains within existing security, compliance, and data residency boundaries.
The engine analyses previously approved selfies from onboarding and authentication flows and flags deepfake patterns, face swaps, and generative artefacts that legacy controls frequently miss. Instead of relying on synthetic testing or assumptions, fraud and compliance teams receive evidence based on real historic approvals.
This audit can operate both as off-flow in batches or single check. Organizations can target specific time windows, geographies, or products without changing live customer journeys. Flexible usage-based pricing allows teams to prioritise high-risk cohorts and re-check the customer base at minimal cost.
Key Features:
- Identify AI-generated faces and swaps that passed 2023-25 KYC checks
- Quantify deepfake exposure across approved customer cohorts
- Run forensic audits without disrupting live onboarding flows
Silent fraud accounts often exist long before detection controls catch up. Shufti Face Deepfake Detection provides a practical way to rescan historic approvals, measure real exposure, and strengthen identity assurance without operational disruption.
Deploy directly from AWS Marketplace to assess historic deepfake risk inside your own cloud environment.
Highlights
- One-click AMI deployment inside your companys AWS account with no lengthy contracts or procurement cycles involved.
- No disruption for live customer KYC flow or production environment because checks are performed on historic onboarding records.
- Like an on-premise deployment, no external data sharing or third-party processing, hence, biometric data of your clients remains entirely on your own cloud.
Details
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Delivery method
Delivery option
AMI with CloudFormation Template
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 23
Deployed on AWS
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Pricing
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 |
|---|---|---|
Verification | Number of Verification/Requests | $0.04 |
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 Face Deepfake App
Additional details
Usage instructions
Before deploying the Shufti Face Deepfake Detection 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
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