Sold by: PhilterdÂ
Deployed on AWS
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Philter deidentifies and redacts sensitive information, such as Personally Identifiable Information (PII) and Protected Health Information (PHI), in text.
Overview
Philter deidentifies and redacts sensitive information, such as Personally Identifiable Information (PII) and Protected Health Information (PHI),in text. Common uses of Philter include helping maintain HIPAA compliance, serving as an AI policy layer, redacting AI training data, and allowing for leveraging your text for valuable secondary purposes.
Philter can redact over 30 types of sensitive information, such as persons' names, ages, bitcoin addresses, cities, counties, credit cards, custom dictionaries, dates, drivers license numbers, email addresses, iban codes, ip addresses, mac addresses, passport numbers, phone/fax numbers, ssns and tins, shipping tracking numbers, states, urls, VINs, and zip codes. In addition, you can define your own types of sensitive information that Philter can then redact.
Philter can disambiguate between types of sensitive information allowing it to redact the information appropriately, and conditional statements allow you to redact only certain information, such as ages older or younger than a given value. Philter's Consistent Anonymization feature anonymizes information consistently across multiple documents to preserve meaning while removing personally identifiable information.
Philter is API based and open source client SDKs are available. The Philter Add-Ins for Microsoft Office provide redaction capabilities inside your Microsoft Word documents and Microsoft Excel documents.
Highlights
- Your data never leaves your cloud. Philter runs inside your VPC and requires no external connectivity.
- Sensitive information that is found can be redacted, masked, encrypted, tokenized, or anonymized. You can choose how and when each type of PII/PHI is modified.
- Philter's API accepts text and returns the redacted version allowing Philter to be integrated into custom applications and workflows.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu ubuntu-jammy-22.04-amd64-server-20240701
Deployed on AWS
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Features and programs
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Pricing
Free trial
Try this product free for 30 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m5.large Recommended | $0.49 |
p3.2xlarge | $0.49 |
m5.xlarge | $0.49 |
m5.2xlarge | $0.49 |
t3.large | $0.49 |
t3.2xlarge | $0.49 |
c5.2xlarge | $0.49 |
c5.large | $0.49 |
c5.xlarge | $0.49 |
t3.xlarge | $0.49 |
Vendor refund policy
We do not currently offer refunds but you can cancel at any time.
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)Â .
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
Now built on Phileas 2.13.2. Updates dependencies with minor fixes and improvements.
Additional details
Usage instructions
After launch, Philter will begin initializing. The initialization may take up to 3 minutes to complete. You can monitor Philter's status with the command:
curl -k https://<Public_IP>:8080/api/status
The response will indicate if Philter is ready to serve requests. Requests to filter text prior to initialization completion will return an HTTP 503 error. Once initialized, you can send a text file to Philter's API with the command:
curl -k -X POST https://<Public_IP>:8080/api/filter -d @file.txt -H Content-Type "text/plain"
Additionally, you can send text directly to Philter via its API:
curl -k -X POST https://<Public_IP>:8080/api/filter --data "The patient was John Smith with SSN 123-45-6789." -H "Content-type: text/plain"
The expected response will be "The patient was {{{REDACTED-entity}}} with SSN {{{REDACTED-ssn}}}."
The Philter UI can be accessed at https://<Public_IP>:9000.
Refer to the Getting Started guide at https://philter.mtnfog.com/introduction/quick-start for basic configuration and usage examples.
Philter's User's Guide is available at https://philter.mtnfog.com .
Resources
Vendor resources
Support
Vendor support
Email support at support@philterd.ai - please allow up to 48 hours for a response. Visit https://www.philterd.ai/support/ for product documentation and other resources.
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 Philterd
Top
10
In Masking/Tokenization, Text, Data Preparation
Top
10
In Identification-Text, Names Entity Recognition - NER, Masking/Tokenization
Top
25
In Masking/Tokenization
AI generated from product descriptions
Information Identification
Capable of detecting and redacting over 30 types of sensitive information including personal identifiers, financial data, and location details
Redaction Customization
Supports multiple redaction methods including masking, encryption, tokenization, and anonymization with configurable options
Contextual Disambiguation
Advanced capability to disambiguate between different types of sensitive information and apply appropriate redaction strategies
Deployment Flexibility
API-based architecture with support for running within private cloud VPC and no external connectivity requirements
Consistent Anonymization
Provides consistent anonymization across multiple documents to preserve semantic meaning while removing personally identifiable information
Multilingual Support
Supports detection and processing across 50+ languages including French, German, Spanish, and Japanese
File Format Compatibility
Capable of processing multiple file formats including PDF, DOC/DOCX, JSON, XML, and Audio files
PII Detection
Advanced identification and classification of over 50 types of personally identifiable information
Data Anonymization
Capability to anonymize and replace detected personally identifiable information
Information Processing
Supports comprehensive processing across text, document, and audio data types
Data Discovery and Masking
Automatically discovers and masks sensitive data types including PII, PHI, and PCI with irreversible synthetic data generation
Data Consistency Management
Supports masking of primary and unique keys while maintaining referential integrity across foreign keys
Cross-Environment Compatibility
Enables data masking across diverse data storage environments including databases, files, cloud, and on-premises systems
Synthetic Data Generation
Produces fully functional and realistic data that preserves original data characteristics while ensuring privacy compliance
Automation Integration
Designed for seamless integration with existing IT management services and automation workflows
Standard contract
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