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What is PII Anomalyzer?
PII Anomalyzer is a dedicated desktop application crafted to detect, anonymize, and redact personally identifiable information (PII) in documents, employing a unique dual-model AI system that functions entirely offline. This software is especially advantageous for professionals in legal, healthcare, finance, and compliance fields who prioritize confidentiality and cannot afford to share sensitive information with external cloud services or public AI platforms.
Notable features include:
- Support for a wide range of PII entity types, including names, Social Security numbers, financial account numbers, medical identifiers, addresses, dates, and customizable patterns.
- Four different de-identification techniques: Redact, Replace, Highlight, and Mask.
- Proprietary dual-model AI that delivers enhanced accuracy relative to conventional single-model alternatives.
- Compatibility with various file formats such as native and scanned PDFs, DOCX, XLSX, XLS, XLSM, XLSB, and plain text files.
- Built-in optical character recognition (OCR) capabilities for the effective processing of scanned documents.
- A re-identification mode that enables users to restore contextual information from AI outputs, contractor submissions, or reviewer feedback.
- The capacity to handle multiple documents simultaneously for improved efficiency.
By operating completely offline, the software guarantees that no telemetry is sent, ensuring that all data remains securely stored on your device.
Offered at a price of $249 annually, it includes a 7-day free trial and is compatible with both Windows and macOS, making it a flexible option for organizations committed to safeguarding sensitive information. Additionally, regular updates and customer support enhance the overall user experience, further solidifying its value for those handling PII.
What is PHEMI Health DataLab?
In contrast to many conventional data management systems, PHEMI Health DataLab is designed with Privacy-by-Design principles integral to its foundation, rather than as an additional feature. This foundational approach offers significant benefits, including:
It allows analysts to engage with data while adhering to strict privacy standards.
It incorporates a vast and adaptable library of de-identification techniques that can conceal, mask, truncate, group, and anonymize data effectively.
It facilitates the creation of both dataset-specific and system-wide pseudonyms, enabling the linking and sharing of information without the risk of data leaks.
It gathers audit logs that detail not only modifications made to the PHEMI system but also patterns of data access.
It automatically produces de-identification reports that are accessible to both humans and machines, ensuring compliance with enterprise governance risk management.
Instead of having individual policies for each data access point, PHEMI provides the benefit of a unified policy that governs all access methods, including Spark, ODBC, REST, exports, and beyond, streamlining data governance in a comprehensive manner. This integrated approach not only enhances privacy protection but also fosters a culture of trust and accountability within the organization.
Integrations Supported
Integrations Supported
Amazon Web Services (AWS)
Apache Hive
Apache Ranger
Apache Spark
Cloudera
Hadoop
Microsoft Azure
Microsoft Power BI
Tableau
API Availability
API Availability
Has API
Pricing Information
$249/year (7-day free trial)
Free Trial Offered?
Pricing Information
Contact PHEMI to learn about our value-based pricing.
Supported Platforms
Windows
Mac
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Webinars
Online Training
Company Facts
Organization Name
Southwest Management Technology
Date Founded
2000
Company Location
United States
Company Website
www.piianomalyzer.ai/
Company Facts
Organization Name
PHEMI Systems
Date Founded
2013
Company Location
Canada
Company Website
www.phemi.com
Categories and Features
Data De-Identification
Not specified
Categories and Features
Big Data
Data Warehousing
High Volume Processing
Predictive Analytics
Data De-Identification
Not specified
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Policy Management
Process Management
Roles Management
Storage Management
Data Lineage
Not specified
Data Management
Data Analysis
Data Integration
Data Security
Information Governance
Data Masking
Not specified
Data Privacy Management
Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Policy Management
Risk Management
Sensitive Data Identification
Data Security
Data Classification
Data Discovery
Data Masking
Data-Centric Security
Encryption
Identity / Access Management
Policy Management
Sensitive Data Compliance
Hybrid Cloud Storage
Not specified
Sensitive Data Discovery
Not specified