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What is Naix?
Naix is a cutting-edge AI-driven tool designed for the anonymization and redaction of documents, efficiently removing personally identifiable information with speed, accuracy, and security. Employing sophisticated methods such as machine learning, natural language processing, and linguistic modeling, Naix can effectively detect a variety of sensitive data types, including company names, legal documents, personal identities, geographical locations, email addresses, URLs, dates, identification numbers, images, and financial information. This adaptable tool works across multiple file formats, such as PDFs, Word and Excel files, emails, scanned documents, and images, and supports various languages, notably English, German, and French. By simplifying much of the anonymization workflow, Naix also allows users to manually redact specific information when necessary, providing flexibility for unique cases. Furthermore, it enables the application of predefined pseudonyms, ensuring context is preserved even when full anonymization is not possible. The intuitive interface of Naix guides users effortlessly from uploading their documents to reviewing the results and generating a secure output file, thus facilitating an efficient process throughout. In summary, Naix serves as a robust solution for organizations aiming to safeguard sensitive data while upholding their operational standards and integrity, making it a valuable asset in today's data-driven environment.
What is IRI FieldShield?
IRI FieldShield® offers an effective and cost-efficient solution for the discovery and de-identification of sensitive data, such as PII, PHI, and PAN, across both structured and semi-structured data sources. With its user-friendly interface built on an Eclipse-based design platform, FieldShield allows users to perform classification, profiling, scanning, and static masking of data at rest. Additionally, the FieldShield SDK or a proxy-based application can be utilized for dynamic data masking, ensuring the security of data in motion.
Typically, the process for masking relational databases and various flat file formats, including CSV, Excel, LDIF, and COBOL, involves a centralized classification system that enables global searches and automated masking techniques. This is achieved through methods like encryption, pseudonymization, and redaction, all designed to maintain realism and referential integrity in both production and testing environments.
FieldShield can be employed to create sanitized test data, mitigate the impact of data breaches, or ensure compliance with regulations such as GDPR, HIPAA, PCI, PDPA, and PCI-DSS, among others. Users can perform audits through both machine-readable and human-readable search reports, job logs, and re-identification risk assessments. Furthermore, it offers the flexibility to mask data during the mapping process, and its capabilities can also be integrated into various IRI Voracity ETL functions, including federation, migration, replication, subsetting, and analytical operations. For database clones, FieldShield can be executed in conjunction with platforms like Windocks, Actifio, or Commvault, and it can even be triggered from CI/CD pipelines and applications, ensuring versatility in data management practices.
Integrations Supported
Microsoft Excel
Microsoft Word
Alation
Apache Airflow
Cloudera
Collibra
Eclipse BIRT
Elasticsearch
HPE Ezmeral Data Fabric
IBM Cognos Analytics
API Availability
Has API
API Availability
Has API
Pricing Information
€75 per month
Free Version
Free Trial Offered?
Pricing Information
Varies by component/scope
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Mac
Linux
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Naix
Date Founded
2018
Company Location
Germany
Company Website
naix.ai/
Company Facts
Organization Name
IRI, The CoSort Company
Date Founded
1978
Company Location
United States
Company Website
www.iri.com/products/fieldshield
Categories and Features
AI Redaction
Not specified
Data Anonymization
Not specified
Categories and Features
Data Anonymization
Not specified
Data Masking
Not specified
Data Security
At-Risk Analysis
Audits
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Policy Management
Sensitive Data Compliance
Test Data Management
Not specified