Top 10 Privacy Analytics Eclipse Alternatives & Competitors

(3)4.7 out of 5

Explore the best alternatives to Privacy Analytics Eclipse for users who need new software features or want to try different solutions. Other important factors to consider when researching alternatives to Privacy Analytics Eclipse include ease of use and reliability. The best overall Privacy Analytics Eclipse alternative is Privacy1. Other similar apps like Privacy Analytics Eclipse are VGS Platform, IBM InfoSphere Optim Data Privacy, Informatica Data Security Cloud, and Tumult Analytics. Privacy Analytics Eclipse alternatives can be found in Data De-Identification Tools but may also be in Data Masking Software or Data Privacy Management Software.

Show Less

Best Paid & Free Alternatives to Privacy Analytics Eclipse

Privacy1
VGS Platform
IBM InfoSphere Optim Data Privacy
Informatica Data Security Cloud
Tumult Analytics
Tonic.ai
Privacy Vault
Kiprotect

Top 10 Alternatives to Privacy Analytics Eclipse Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Privacy Analytics Eclipse stacks up to the competition, check reviews from current & previous users in industries like Computer & Network Security and Higher Education, and find the best product for your business.

Privacy1

By Privacy1

4.4/5

(91)

Product Description

Privacy1's Zero Trust Data Protection solution offers a comprehensive approach to safeguarding personal data by applying privacy-aware security directly to the data assets. This method shifts the focus from traditional perimeter defenses to a data-centric strategy, ensuring that sensitive information remains protected regardless of its location within the system. By encrypting data and implementing purpose-specific access controls, Privacy1 enables organizations to manage data access based on legal purposes, approved systems, and authorized personnel. This approach not only enhances data security but also ensures compliance with privacy regulations and builds trust with customers. Key Features and Functionality: - Consistent Protection: Maintains a uniform level of data security as information moves across various systems, regardless of differing perimeter security measures. - Purpose Control: Allows access to sensitive personal data solely for specific legal purposes, ensuring that data usage aligns with organizational policies and regulatory requirements. - Privacy Awareness: Integrates privacy considerations into data protection, enabling control over data usage across the organization from a legal standpoint. - Data Encryption: Ensures that data is encrypted, making it accessible only to legitimate systems and users for authorized purposes, both at rest and during transit. - Automated Privacy Rights Management: Facilitates the automation of data subject rights requests, such as access, erasure, and consent management, reducing manual overhead and enhancing compliance. Primary Value and Problem Solved: Privacy1's Zero Trust Data Protection addresses the critical challenge of data breaches and unauthorized access by implementing a data-centric security model. By encrypting data and enforcing purpose-specific access controls, it ensures that even if perimeter defenses are compromised, the data remains unreadable and secure. This solution not only mitigates the risk of data misuse but also simplifies compliance with privacy regulations, reduces operational costs associated with manual data protection processes, and enhances customer trust by demonstrating a commitment to data privacy and security.

Categories in common with Privacy Analytics Eclipse:

Data De-Identification

VGS Platform

By Very Good Security

4.7/5

(47)

Product Description

Categories in common with Privacy Analytics Eclipse:

Data De-Identification

IBM InfoSphere Optim Data Privacy

By IBM

4.6/5

(48)

Product Description

Categories in common with Privacy Analytics Eclipse:

Data De-Identification

You’re Seeing Part of the StoryLog in or create an account to access the full set of alternatives.

Create a Free Account

Product Description

Tumult Analytics is an open-source Python library making it easy and safe to use differential privacy; enabling organizations to safely release statistical summaries of sensitive data. Tumult Analytics is running in production at institutions such as the U.S. Census Bureau, the Wikimedia Foundation, and the Internal Revenue Service. It is easy to use, it can scale to datasets with billions of rows, it integrates with common data science tools, and it supports advanced features to maximize the value extracted from protected data.

Categories in common with Privacy Analytics Eclipse:

Data De-Identification

Tonic.ai

By Tonic.ai

4.2/5

(37)

Product Description

Tonic.ai frees developers to build with safe, high-fidelity synthetic data to accelerate software and AI innovation while protecting data privacy. Through industry-leading solutions for data synthesis, de-identification, and subsetting, our products enable on-demand access to realistic structured, semi-structured, and unstructured data for software development, testing, and AI model training. The product suite includes: - Tonic Fabricate for AI-powered synthetic data from scratch - Tonic Structural for modern test data management - Tonic Textual for unstructured data redaction and synthesis. Unblock innovation, eliminate collisions in testing, accelerate your engineering velocity, and ship better products, all while safeguarding data privacy.

Categories in common with Privacy Analytics Eclipse:

Data De-Identification