Audience
Enterprises and security teams in search of a tool to de-identify data for analysis and secondary use
About AnalyticDiD
De-identify sensitive data, including personally identifiable information (PII), through pseudonymization and anonymization for secondary use or analysis, such as comparative effectiveness studies, policy assessment, and life sciences research. This is critical as organizations gather and compile large amounts of business data to understand trends, gain insights into customer preferences, and develop new innovations. Regulations such as HIPAA and GDPR require that data be de-identified, but the challenge is that many de-identification tools focus on eliminating personal identifiers, but make it difficult to use the data. Transform PII into data that cannot be used to identify data while ensuring privacy using data anonymization and pseudonymization techniques. This allows you to effectively analyze large amounts of data without violating privacy regulations. De-identify data using selected methods and privacy models from broad areas of data de-identification and statistics.
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IRI Voracity
Voracity is the only high-performance, all-in-one data management platform accelerating AND consolidating the key activities of data discovery, integration, migration, governance, and analytics. Voracity helps you control your data in every stage of the lifecycle, and extract maximum value from it.
Only in Voracity can you:
1) CLASSIFY, profile and diagram enterprise data sources
2) Speed or LEAVE legacy sort and ETL tools
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4) FIND PII everywhere and consistently MASK it for referential integrity
5) Score re-ID risk and ANONYMIZE quasi-identifiers
6) Create and manage DB subsets or intelligently synthesize TEST data
7) Package, protect and provision BIG data
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Use Voracity to comply with data privacy laws, de-muck and govern the data lake, improve the reliability of your analytics, and create safe, smart test data
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PK Privacy
Organizations are required to keep up with the ever-changing privacy landscape, and protect personally identifiable information they interact with. PK Privacy gives organizations the power to automate data discovery and reporting mechanisms to assist with reducing the operational complications of privacy legislation. Automate the DSAR response process to meet requirements faster and on budget. Create rules that will delete or redact sensitive data as soon as it is found. Enable pseudonymization, anonymization, and de-identification of private personal data. Find data that can and/or should legally be archived or deleted due to age or lack of use. Detect and confirm breaches with monitoring, then accurately estimate and report on the breach’s impact. Continuously monitor endpoints, servers, and enterprise solutions for privacy data. Organizations are required to keep up with the ever-changing privacy landscape and protect personally identifiable information they interact with.
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HushHush Data Masking
Today’s businesses face significant punishment if they do not meet the ever-increasing privacy requirements of both regulators and the public. Vendors need to keep abreast by adding new algorithms to protect sensitive data such as PII and PHI. HushHush stays at the forefront of privacy protection (Patents: US9886593, US20150324607A1, US10339341) with its PII data discovery and anonymization tool workbench (also known as data de-identification, data masking, and obfuscation software). It helps you find your and your customer's sensitive data, classify it, anonymize it, and comply with GDPR, CCPA, HIPAA / HITECH, and GLBA requirements. Use a collection of rule-based atomic add-on anonymization components to configure comprehensive and secure data anonymization solutions. HushHush components are out-of-the box solutions designed to anonymize both direct identifiers (SSN, credit cards, names, addresses, phone numbers, etc.) as well as indirect identifiers, with both fixed algorithms.
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Informatica Persistent Data Masking
Retain context, form, and integrity while preserving privacy. Enhance data protection by de-sensitizing and de-identifying sensitive data, and pseudonymize data for privacy compliance and analytics. Obscured data retains context and referential integrity remain consistent, so the masked data can be used in testing, analytics, or support environments. As a highly scalable, high-performance data masking solution, Informatica Persistent Data Masking shields confidential data—such as credit card numbers, addresses, and phone numbers—from unintended exposure by creating realistic, de-identified data that can be shared safely internally or externally. It also allows you to reduce the risk of data breaches in nonproduction environments, produce higher-quality test data and streamline development projects, and ensure compliance with data-privacy mandates and regulations.
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Fasoo
United States
en.fasoo.com/products/analyticdid/
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