Sold by: Shorthills AI
Deployed on AWS
Anonify - PII and PHI Redaction Accelerator is an AI-powered solution that securely redacts and anonymizes sensitive PII/PHI data from documents, images, and datasets to support privacy, compliance, and data protection.
Overview
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Medical report for redaction
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Redaction process
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Redacted report
Anonify - PII and PHI Redaction Accelerator is a cutting-edge agentic solution designed to protect sensitive information through advanced redaction and anonymization techniques. It ensures data privacy and compliance by securely removing or masking identifiable customer information - PII/ PHI data from documents, images, and datasets. Ideal for businesses, legal teams, healthcare providers, and organizations handling sensitive information, Anonify helps users safeguard personal and confidential data while maintaining the integrity of the original content. It is perfect for those seeking to meet regulatory requirements or enhance data security. Anonify addresses the critical need for data protection in today's digital landscape, reducing the risk of data breaches and ensuring compliance with privacy laws such as GDPR and HIPAA. Its user-friendly interface and robust features make it an essential tool for anyone prioritizing data security.
Highlights
- PII and PHI Redaction, Data privacy, compliance, Secure document anonymization, GDPR compliance, HIPAA compliance
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04 LTS
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
t3.xlarge Recommended | $100.00 |
Vendor refund policy
Refunds may be granted within 15 days for verified defects, deployment failures, or billing errors. Excludes change of mind, misconfiguration, unsupported environments, customer modifications, third-party integrations, and AWS charges. For refund requests contact email - Himanshu.yadav@shorthills.ai
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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
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
Anonify tool agent for AWS marketplace
Additional details
Usage instructions
- Launch the EC2 instance using the Anonify Marketplace AMI with a minimum recommended configuration of t3.xlarge (4 vCPU, 16 GB RAM) and at least 30 GB gp3 storage.
- Configure the Security Group to allow inbound access on ports 22 (SSH), 80 (HTTP), and optionally 443 (HTTPS).
- SSH into the instance using the ubuntu user and update the /opt/redaction-app/.env file with valid AWS Bedrock credentials and region details.
- Start the application using docker compose up -d from the /opt/redaction-app directory. Once the containers are running, access the application through http://<EC2-PUBLIC-IP> in a browser.
- The application supports AI-powered redaction for PDF, TXT, and image files using Amazon Bedrock-backed inference.
Support
Vendor support
For any support required on the product, please contact us using the below link https://www.shorthills.ai/contactus or through email to himanshu.yadav@shorthills.ai
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.
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